GenQ: Unsupervised Training of Sentence Embeddings in NLP
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GenQ: Unsupervised Training of Sentence Embeddings in NLP
5:31
GPL: Unsupervised Training of Sentence Transformer Embeddings (Paper Summary)
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GPL: Unsupervised Training of Sentence Transformer Embeddings (Paper Summary)
6:51
Topical Chunking - Advanced Chunking Strategy for RAG
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Topical Chunking - Advanced Chunking Strategy for RAG
5:49
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval (Paper Summary)
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RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval (Paper Summary)
10:26
What is a Masked Language Model (MLM) ?
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What is a Masked Language Model (MLM) ?
5:13
SimCSE - Unsupervised Sentence Embeddings
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SimCSE - Unsupervised Sentence Embeddings
5:56
TSDAE - Unsupervised Training of Sentence Embeddings
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TSDAE - Unsupervised Training of Sentence Embeddings
9:25
Understanding Precision@K and Recall@K Metrics
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Understanding Precision@K and Recall@K Metrics
6:09
Proposition-Based Retrieval Explained!
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Proposition-Based Retrieval Explained!
9:06
Why do we need Positional Encoding in Transformers?
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Why do we need Positional Encoding in Transformers?
4:30
Retrieval-Augmented Generation with Knowledge Graphs for Customer Support Q/A (Paper Summary)
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Retrieval-Augmented Generation with Knowledge Graphs for Customer Support Q/A (Paper Summary)
15:51
Improving your RAG system with Self Querying Retrieval
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Improving your RAG system with Self Querying Retrieval
6:35
Improving Document Re-ranking with Zero-Shot Question Generation (Paper Summary)
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Improving Document Re-ranking with Zero-Shot Question Generation (Paper Summary)
6:58
Understanding Reciprocal Rank Fusion in Hybrid Search [Advanced RAG]
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Understanding Reciprocal Rank Fusion in Hybrid Search [Advanced RAG]
8:16
Drift in Machine Learning Models
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Drift in Machine Learning Models
0:46
Teacher Forcing in Neural Networks #lstm
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Teacher Forcing in Neural Networks #lstm
0:45
Training & Production Performance Mismatch in ML
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Training & Production Performance Mismatch in ML
0:42
API Design - 3 common Pagination Strategies
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API Design - 3 common Pagination Strategies
3:32
API Design: What is Pagination?
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API Design: What is Pagination?
0:49
Deciding on LLMs: Open or Closed Source? #llms
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Deciding on LLMs: Open or Closed Source? #llms
0:37
Debug RAG Pipeline Retrieval Step #llms
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Debug RAG Pipeline Retrieval Step #llms
0:38
Funnel Approach for Search Relevance System #ml
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Funnel Approach for Search Relevance System #ml
0:36
OpenAI Sora - Text to Video Generation #openai
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OpenAI Sora - Text to Video Generation #openai
0:34
Prompt Engineering Vs Fine-Tuning in LLMs
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Prompt Engineering Vs Fine-Tuning in LLMs
0:40
What is T5 Model?
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What is T5 Model?
0:39
Blueprint for Designing Machine Learning Systems
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Blueprint for Designing Machine Learning Systems
10:38
Types of Language Model Architectures #llms
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Types of Language Model Architectures #llms
0:48
Cross-Validation Strategies in Machine Learning
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Cross-Validation Strategies in Machine Learning
0:52
Bootstrapping - Resampling Method in Machine Learning
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Bootstrapping - Resampling Method in Machine Learning
0:32
Training Sentence Transformers with MNR Loss #ai
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Training Sentence Transformers with MNR Loss #ai
0:49
Top Features for Movie Recommendation #recommendersystems
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Top Features for Movie Recommendation #recommendersystems
0:47
Designing Search Engine #machinelearning
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Designing Search Engine #machinelearning
0:21
Text Summarisation using LLMs #ai
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Text Summarisation using LLMs #ai
0:38
What is Maximal Margin Relevance?
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What is Maximal Margin Relevance?
0:44
Chain-of-Verification Prompt Method
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Chain-of-Verification Prompt Method
0:47
RLHF in NLP #ai
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RLHF in NLP #ai
0:35
Triplet Loss - Contrastive Learning
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Triplet Loss - Contrastive Learning
0:38
LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking
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LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking
9:25
Finetuning Sentence Transformers : Dataset Preparation #machinelearning
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Finetuning Sentence Transformers : Dataset Preparation #machinelearning
0:43
Supercharge LLMs with Semantic Routing 🤩
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Supercharge LLMs with Semantic Routing 🤩
0:46
Adapt LLMs on your Task #ai
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Adapt LLMs on your Task #ai
0:37
AI/ML use cases in Healthcare Industry
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AI/ML use cases in Healthcare Industry
0:21
Multi-Tenancy RAG System #llms
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Multi-Tenancy RAG System #llms
0:39
Can LLMs help us do Recommendations? #ai
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Can LLMs help us do Recommendations? #ai
0:44
Large Language Models (LLMs) for Recommendations (Paper Walkthrough)
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Large Language Models (LLMs) for Recommendations (Paper Walkthrough)
8:56
3 Chunking Strategies in RAG #ai #rag
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3 Chunking Strategies in RAG #ai #rag
0:40
Improving ChatGPT by ~10% #ai #llms
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Improving ChatGPT by ~10% #ai #llms
0:36
Advanced Chucking Strategy for RAG #llms #ai
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Advanced Chucking Strategy for RAG #llms #ai
0:36
🤑 Reduce your LLM API Cost #largelanguagemodels
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🤑 Reduce your LLM API Cost #largelanguagemodels
0:48
😲 Building Advanced RAG systems #ai
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😲 Building Advanced RAG systems #ai
0:42
Document Re-ranking using LLMs - Advanced RAG
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Document Re-ranking using LLMs - Advanced RAG
15:32
🤩 Efficient Retrieval RAG Pipeline
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🤩 Efficient Retrieval RAG Pipeline
0:48
Improving LLMs : Prompt Engineering
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Improving LLMs : Prompt Engineering
0:48
Pairwise Ranking Method - Learning to Rank
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Pairwise Ranking Method - Learning to Rank
0:51
Point-wise Ranking - Learning to Rank
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Point-wise Ranking - Learning to Rank
0:40
🤯 Reduce Hallucination in LLMs with this Method
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🤯 Reduce Hallucination in LLMs with this Method
0:49
😎 Designing Search API Service
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😎 Designing Search API Service
0:46
😵 PandasAI (Powering Pandas with GenAI)
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😵 PandasAI (Powering Pandas with GenAI)
0:30
Introducing PandasAI: Generative AI Python Library
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Introducing PandasAI: Generative AI Python Library
10:15
Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves
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Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves
7:57
Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models
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Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models
10:49
MemPrompt: Memory-assisted prompt editing to improve GPT-3 after deployment
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MemPrompt: Memory-assisted prompt editing to improve GPT-3 after deployment
15:52
Zero-Shot Next-Item Recommendation using Large Pretrained Language Models
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Zero-Shot Next-Item Recommendation using Large Pretrained Language Models
10:36
Advanced RAG Concept: Improving RAG with Multi-stage Document Reranking
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Advanced RAG Concept: Improving RAG with Multi-stage Document Reranking
12:33
Improving Language Model Reasoning with Contrastive Chain-of-Thought Prompting
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Improving Language Model Reasoning with Contrastive Chain-of-Thought Prompting
9:15
Improving RAG performance with Parent Context Retriever
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Improving RAG performance with Parent Context Retriever
4:53
Understanding RAG: Basics, Challenges, and Improvements
TechViz - The Data Science Guy
Understanding RAG: Basics, Challenges, and Improvements
13:09
PDF Document Question Answering with ChatGPT #demo
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PDF Document Question Answering with ChatGPT #demo
2:32
GPT-3 Fine-Tuning Made Easy: No Coding Required!
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GPT-3 Fine-Tuning Made Easy: No Coding Required!
8:45
Code Translation with GPT-4
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Code Translation with GPT-4
1:00
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarisation (Paper Summary)
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DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarisation (Paper Summary)
12:09
Frustratingly Easy Model Ensemble for Abstractive Summarization (Research Paper Walkthrough)
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Frustratingly Easy Model Ensemble for Abstractive Summarization (Research Paper Walkthrough)
9:37
GPTZero: Hero or Zero in Detecting AI Generated Text?
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GPTZero: Hero or Zero in Detecting AI Generated Text?
5:37
I built GPT-3 powered Excel for analysing Amazon Reviews
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I built GPT-3 powered Excel for analysing Amazon Reviews
12:51
GraphGPT: Transform Text into Knowledge Graphs with GPT-3
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GraphGPT: Transform Text into Knowledge Graphs with GPT-3
6:31
Zero-shot Chain of thought Prompting with GPT-3 #shorts
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Zero-shot Chain of thought Prompting with GPT-3 #shorts
0:42
Chain of thought Prompting in Large Language Models #shorts
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Chain of thought Prompting in Large Language Models #shorts
0:59
Say Goodbye to Boring ChatBots: Welcome ChatGPT!
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Say Goodbye to Boring ChatBots: Welcome ChatGPT!
0:41
Few-shot learning with SetFit
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Few-shot learning with SetFit
0:32
LinkBERT: Pretraining Language Models with Document Links (Research Paper Walkthrough)
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LinkBERT: Pretraining Language Models with Document Links (Research Paper Walkthrough)
11:43
TabLLM: Few-shot Classification of Tabular Data with Large Language Models (Paper Summary)
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TabLLM: Few-shot Classification of Tabular Data with Large Language Models (Paper Summary)
12:27
SetFit - Efficient Few-Shot Learning Without Prompts (Research Paper Walkthrough)
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SetFit - Efficient Few-Shot Learning Without Prompts (Research Paper Walkthrough)
9:43
DocQuery: Document Query Engine (Visual Question Answering) | Hugging face 🤗 Spaces
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DocQuery: Document Query Engine (Visual Question Answering) | Hugging face 🤗 Spaces
1:06
OCR-VQA: Visual Question Answering by Reading Text in Images (Research Paper Summary)
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OCR-VQA: Visual Question Answering by Reading Text in Images (Research Paper Summary)
11:29
Cohen's Kappa: Inter-rater Agreement Score for Categorical Items
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Cohen's Kappa: Inter-rater Agreement Score for Categorical Items
3:14
Donut 🍩 : OCR-free Document Understanding Transformer (Research Paper Walkthrough)
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Donut 🍩 : OCR-free Document Understanding Transformer (Research Paper Walkthrough)
10:38
Dense Passage Retrieval for Open-Domain Question Answering (Research Paper Walkthrough)
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Dense Passage Retrieval for Open-Domain Question Answering (Research Paper Walkthrough)
12:17
WordPiece Tokenization in NLP
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WordPiece Tokenization in NLP
3:28
A Semi-automatic approach for Generating Video Trailers for Learning Pathways (Poster Walkthrough)
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A Semi-automatic approach for Generating Video Trailers for Learning Pathways (Poster Walkthrough)
3:32
Byte Pair Encoding Tokenization in NLP
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Byte Pair Encoding Tokenization in NLP
2:57
Zero-Shot Relation Extraction from Text as a Natural Language Inference Task
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Zero-Shot Relation Extraction from Text as a Natural Language Inference Task
4:59
Building Data Drift Detection Dashboard using Evidently and Mercury (Blog Walkthrough)
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Building Data Drift Detection Dashboard using Evidently and Mercury (Blog Walkthrough)
12:17
LongT5: Efficient Text-To-Text Transformer for Long Sequences (Research Paper Summary)
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LongT5: Efficient Text-To-Text Transformer for Long Sequences (Research Paper Summary)
15:09
Increasing Restaurant Sales by Optimising Online Menu using Machine Learning (Blog Walkthrough)
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Increasing Restaurant Sales by Optimising Online Menu using Machine Learning (Blog Walkthrough)
9:41
LayoutLM: Pre-training of Text and Layout for Document Image Understanding (Paper Summary)
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LayoutLM: Pre-training of Text and Layout for Document Image Understanding (Paper Summary)
10:07
BERTScore: Evaluating Text Generation with BERT (Paper Summary)
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BERTScore: Evaluating Text Generation with BERT (Paper Summary)
1:56
Text Entailment approach for Zero-shot Text Classification (Research Paper Walkthrough)
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Text Entailment approach for Zero-shot Text Classification (Research Paper Walkthrough)
9:40
Understanding nDCG metric for Search Ranking systems
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Understanding nDCG metric for Search Ranking systems
1:24
Zero-Shot and Few-Shot Text Classification Techniques in NLP (Tech Report Walkthrough)
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Zero-Shot and Few-Shot Text Classification Techniques in NLP (Tech Report Walkthrough)
16:42
Enabling Language Models to Fill in the Blanks (Research Paper Walkthrough)
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Enabling Language Models to Fill in the Blanks (Research Paper Walkthrough)
8:41
Few-shot Named Entity Recognition | Decoding NLP Libraries (Concise Concepts)
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Few-shot Named Entity Recognition | Decoding NLP Libraries (Concise Concepts)
10:02
HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural Language Processing (Paper Summary)
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HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural Language Processing (Paper Summary)
11:18
Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence Scoring (Summary)
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Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence Scoring (Summary)
16:33
BERT Goes Shopping: Comparing Distributional Models for Product Representations (Paper Walkthrough)
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BERT Goes Shopping: Comparing Distributional Models for Product Representations (Paper Walkthrough)
13:51
Learning both Weights and Connections for Efficient Neural Networks (Research Paper Walkthrough)
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Learning both Weights and Connections for Efficient Neural Networks (Research Paper Walkthrough)
8:54
THANK YOU FOR YOUR SUPPORT SO FAR #MyYearOnYouTube 2021
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THANK YOU FOR YOUR SUPPORT SO FAR #MyYearOnYouTube 2021
0:41
Unstructured vs Structured Pruning in Neural Networks #shorts
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Unstructured vs Structured Pruning in Neural Networks #shorts
0:59
Unsupervised Topic Segmentation of Meetings with BERT Embeddings (Research Paper Walkthrough)
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Unsupervised Topic Segmentation of Meetings with BERT Embeddings (Research Paper Walkthrough)
9:01
Improving Cross-Lingual Text Classification with Zero-shot Instance-Weighting (Paper Summary)
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Improving Cross-Lingual Text Classification with Zero-shot Instance-Weighting (Paper Summary)
7:16
The Cold Start Problem in Recommendation Systems #shorts
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The Cold Start Problem in Recommendation Systems #shorts
0:49
Global Attention Vs Local Attention #shorts
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Global Attention Vs Local Attention #shorts
0:59
FLAN: Fine-tuned LAnguage Nets #shorts
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FLAN: Fine-tuned LAnguage Nets #shorts
1:00
TARS: Task-Aware Representation of Sentences for Generic Text Classification (NLP Paper Summary)
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TARS: Task-Aware Representation of Sentences for Generic Text Classification (NLP Paper Summary)
16:50
Multi-Prompt Learning: Systematic Survey of Prompting Methods in NLP (P.3)
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Multi-Prompt Learning: Systematic Survey of Prompting Methods in NLP (P.3)
16:32
Language Models and Prompt Engineering: Systematic Survey of Prompting Methods in NLP (P.2)
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Language Models and Prompt Engineering: Systematic Survey of Prompting Methods in NLP (P.2)
20:07
Formal Description of Prompting: Systematic Survey of Prompting Methods in NLP (P.1)
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Formal Description of Prompting: Systematic Survey of Prompting Methods in NLP (P.1)
20:19
Zero-Shot Crosslingual Sentence Simplification (NLP Research Paper Walkthrough)
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Zero-Shot Crosslingual Sentence Simplification (NLP Research Paper Walkthrough)
16:37
R-GCN: Modeling Relational Data with Graph Convolution Network (Graph ML Research Paper Walkthrough)
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R-GCN: Modeling Relational Data with Graph Convolution Network (Graph ML Research Paper Walkthrough)
12:26
Techniques for getting Graph Embeddings from Node Embeddings (Graph Machine Learning Concept)
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Techniques for getting Graph Embeddings from Node Embeddings (Graph Machine Learning Concept)
6:50
GAT: Graph Attention Networks (Graph ML Research Paper Walkthrough)
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GAT: Graph Attention Networks (Graph ML Research Paper Walkthrough)
8:45
GraphSAGE: Inductive Representation Learning on Large Graphs (Graph ML Research Paper Walkthrough)
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GraphSAGE: Inductive Representation Learning on Large Graphs (Graph ML Research Paper Walkthrough)
13:19
Controllable Generation from Pre-trained Language Models via Inverse Prompting (Paper Summary)
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Controllable Generation from Pre-trained Language Models via Inverse Prompting (Paper Summary)
10:58
Want To Reduce Labeling Cost? GPT-3 Can Help (Machine Learning Research Paper Walkthrough)
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Want To Reduce Labeling Cost? GPT-3 Can Help (Machine Learning Research Paper Walkthrough)
11:13
BERTopic: Topic Modeling using Transformers in NLP #Shorts
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BERTopic: Topic Modeling using Transformers in NLP #Shorts
0:49
Deep Natural Language Processing for LinkedIn Search Systems (Research Paper Walkthrough)
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Deep Natural Language Processing for LinkedIn Search Systems (Research Paper Walkthrough)
21:34
Auto Generating Python code by editing Spreadsheet using Mito
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Auto Generating Python code by editing Spreadsheet using Mito
6:46
Graph Clustering using Random-Walk Similarity | ML with Graphs (Research Paper Walkthrough)
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Graph Clustering using Random-Walk Similarity | ML with Graphs (Research Paper Walkthrough)
6:55
KeyBERT: Keyword Extraction using BERT (Decoding NLP Libraries) #Shorts
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KeyBERT: Keyword Extraction using BERT (Decoding NLP Libraries) #Shorts
0:55
Guide to Retraining Machine Learning Models (Blog Walkthrough)
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Guide to Retraining Machine Learning Models (Blog Walkthrough)
8:02
Deduplicating Training Data Makes Language Models Better (Research Paper Walkthrough)
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Deduplicating Training Data Makes Language Models Better (Research Paper Walkthrough)
9:56
Efficient KNN with KD-Tree Optimization #Shorts
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Efficient KNN with KD-Tree Optimization #Shorts
1:00
Generalization through Memorization: Nearest Neighbor Language Models (Research Paper Walkthrough)
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Generalization through Memorization: Nearest Neighbor Language Models (Research Paper Walkthrough)
9:23
BOOSTING: Ensemble Learning Method in Machine Learning #Shorts
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BOOSTING: Ensemble Learning Method in Machine Learning #Shorts
0:59
BAGGING: Ensemble Learning Method in Machine Learning #Shorts
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BAGGING: Ensemble Learning Method in Machine Learning #Shorts
0:58
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
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BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
10:11
Hard Parameter Sharing Vs Soft Parameter Sharing (Multi-Task Learning in Deep Learning) #Shorts
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Hard Parameter Sharing Vs Soft Parameter Sharing (Multi-Task Learning in Deep Learning) #Shorts
1:00
Bisecting K-Means Algorithm (Clustering in Machine Learning) #Shorts
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Bisecting K-Means Algorithm (Clustering in Machine Learning) #Shorts
0:56
Thieves on Sesame Street! Model Extraction of BERT-based APIs (Research Paper Walkthrough)
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Thieves on Sesame Street! Model Extraction of BERT-based APIs (Research Paper Walkthrough)
15:56
Byte Pair Encoding (Subword Tokenization Method in NLP) #Shorts
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Byte Pair Encoding (Subword Tokenization Method in NLP) #Shorts
1:00
Nucleus Sampling (Text Decoding Technique in NLP) #Shorts
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Nucleus Sampling (Text Decoding Technique in NLP) #Shorts
0:50
Masked Language Models Vs Causal Language Models in NLP #Shorts
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Masked Language Models Vs Causal Language Models in NLP #Shorts
0:58
Detecting Hallucinated Content in Conditional Neural Sequence Generation (NLP Paper Walkthrough)
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Detecting Hallucinated Content in Conditional Neural Sequence Generation (NLP Paper Walkthrough)
12:25
REALM: Retrieval-Augmented Language Model Pre-Training (Research Paper Walkthrough)
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REALM: Retrieval-Augmented Language Model Pre-Training (Research Paper Walkthrough)
19:41
Entity-level Factual Consistency of Abstractive Text Summarization (Research Paper Walkthrough)
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Entity-level Factual Consistency of Abstractive Text Summarization (Research Paper Walkthrough)
13:30
Training Question Answering Models From Synthetic Data (Research Paper Walkthrough)
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Training Question Answering Models From Synthetic Data (Research Paper Walkthrough)
10:16
An Efficient System for Grammatical Error Correction on Mobile Devices (Research Paper Walkthrough)
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An Efficient System for Grammatical Error Correction on Mobile Devices (Research Paper Walkthrough)
20:32
Anonymous Walk Embeddings | ML with Graphs (Research Paper Walkthrough)
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Anonymous Walk Embeddings | ML with Graphs (Research Paper Walkthrough)
16:59
graph2vec: Learning Distributed Representations of Graphs | ML with Graphs (Paper Walkthrough)
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graph2vec: Learning Distributed Representations of Graphs | ML with Graphs (Paper Walkthrough)
14:35
LINE: Large-scale Information Network Embedding (Machine Learning with Graphs)
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LINE: Large-scale Information Network Embedding (Machine Learning with Graphs)
19:41
Aspect-based Document Similarity for Research Papers (Research Paper Walkthrough)
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Aspect-based Document Similarity for Research Papers (Research Paper Walkthrough)
8:31
Automatic Title Generation for Text with Transformer Language Model (Research Paper Walkthrough)
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Automatic Title Generation for Text with Transformer Language Model (Research Paper Walkthrough)
12:24
BART: Denoising Sequence-to-Sequence Pre-training for NLG (Research Paper Walkthrough)
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BART: Denoising Sequence-to-Sequence Pre-training for NLG (Research Paper Walkthrough)
12:47
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (Research Paper Walkthrough)
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GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (Research Paper Walkthrough)
11:18
Unit Test Case Generation with Transformers (Research Paper Walkthrough)
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Unit Test Case Generation with Transformers (Research Paper Walkthrough)
16:04
Ex2: Neural Data Augmentation via Example Extrapolation (Research Paper Walkthrough)
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Ex2: Neural Data Augmentation via Example Extrapolation (Research Paper Walkthrough)
17:21
Exploring Redundancy Reduction in Summarizing Long Documents (Research Paper Walkthrough)
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Exploring Redundancy Reduction in Summarizing Long Documents (Research Paper Walkthrough)
20:23
tNodeEmbed: Node Embeddings over Temporal Graphs | ML with Graphs (Research Paper Walkthrough)
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tNodeEmbed: Node Embeddings over Temporal Graphs | ML with Graphs (Research Paper Walkthrough)
15:51
BERT-QE: Contextualized Query Expansion for Document Re-ranking (Research Paper Walkthrough)
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BERT-QE: Contextualized Query Expansion for Document Re-ranking (Research Paper Walkthrough)
10:45
NQE: Neural Query Expansion for Code Search (Research Paper Walkthrough)
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NQE: Neural Query Expansion for Code Search (Research Paper Walkthrough)
12:34
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList (Best Paper ACL 2020)
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Beyond Accuracy: Behavioral Testing of NLP Models with CheckList (Best Paper ACL 2020)
14:00
Hierarchical Transformers for Long Document Classification (Research Paper Walkthrough)
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Hierarchical Transformers for Long Document Classification (Research Paper Walkthrough)
12:46
DialoGPT: Generative Training for Conversational Response Generation (Research Paper Walkthrough)
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DialoGPT: Generative Training for Conversational Response Generation (Research Paper Walkthrough)
13:17
T5: Exploring Limits of Transfer Learning with Text-to-Text Transformer (Research Paper Walkthrough)
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T5: Exploring Limits of Transfer Learning with Text-to-Text Transformer (Research Paper Walkthrough)
12:47
Nucleus Sampling: The Curious Case of Neural Text Degeneration (Research Paper Walkthrough)
TechViz - The Data Science Guy
Nucleus Sampling: The Curious Case of Neural Text Degeneration (Research Paper Walkthrough)
12:48
On Generating Extended Summaries of Long Documents (Research Paper Walkthrough)
TechViz - The Data Science Guy
On Generating Extended Summaries of Long Documents (Research Paper Walkthrough)
14:24
URL2Video: Automatic Video Creation From a Web Page | AI and Creativity (Research Paper Walkthrough)
TechViz - The Data Science Guy
URL2Video: Automatic Video Creation From a Web Page | AI and Creativity (Research Paper Walkthrough)
15:21
HARP: Hierarchical Representation Learning for Network | ML with Graphs (Research Paper Walkthrough)
TechViz - The Data Science Guy
HARP: Hierarchical Representation Learning for Network | ML with Graphs (Research Paper Walkthrough)
15:10
Node2Vec: Scalable Feature Learning for Networks | ML with Graphs (Research Paper Walkthrough)
TechViz - The Data Science Guy
Node2Vec: Scalable Feature Learning for Networks | ML with Graphs (Research Paper Walkthrough)
14:33
TextRank: Bringing Order into Texts (Research Paper Walkthrough)
TechViz - The Data Science Guy
TextRank: Bringing Order into Texts (Research Paper Walkthrough)
14:34
TOD-BERT: Pre-trained Transformers for Task-Oriented Dialogue Systems (Research Paper Walkthrough)
TechViz - The Data Science Guy
TOD-BERT: Pre-trained Transformers for Task-Oriented Dialogue Systems (Research Paper Walkthrough)
15:25
Understanding Porter Stemmer Algorithm | Decoding NLP Libraries (NLTK)
TechViz - The Data Science Guy
Understanding Porter Stemmer Algorithm | Decoding NLP Libraries (NLTK)
11:13
Evaluation of Text Generation: A Survey | Human-Centric Evaluations | Research Paper Walkthrough
TechViz - The Data Science Guy
Evaluation of Text Generation: A Survey | Human-Centric Evaluations | Research Paper Walkthrough
15:54
PEGASUS: Pre-training with Gap-Sentences for Abstractive Summarization | Research Paper Walkthrough
TechViz - The Data Science Guy
PEGASUS: Pre-training with Gap-Sentences for Abstractive Summarization | Research Paper Walkthrough
15:05
Text Data Augmentation Made Simple By Leveraging NLP Cloud APIs like spaCy, SyntaxNet, WordNet, NMT
TechViz - The Data Science Guy
Text Data Augmentation Made Simple By Leveraging NLP Cloud APIs like spaCy, SyntaxNet, WordNet, NMT
18:55
Reformulating Unsupervised Style Transfer as Paraphrase Generation | Research Paper Walkthrough
TechViz - The Data Science Guy
Reformulating Unsupervised Style Transfer as Paraphrase Generation | Research Paper Walkthrough
19:41
Combining BERT with Static Word Embedding for Categorizing Social Media | Research Paper Walkthrough
TechViz - The Data Science Guy
Combining BERT with Static Word Embedding for Categorizing Social Media | Research Paper Walkthrough
13:51
SummPip: Multi-Document Summarization with Sentence Graph Compression | Research Paper Walkthrough
TechViz - The Data Science Guy
SummPip: Multi-Document Summarization with Sentence Graph Compression | Research Paper Walkthrough
16:54
Unsupervised Multi-Document Summarization using Neural Document Model | Research Paper Walkthrough
TechViz - The Data Science Guy
Unsupervised Multi-Document Summarization using Neural Document Model | Research Paper Walkthrough
15:11
Extractive & Abstractive Summarization with Transformer Language Models | Research Paper Walkthrough
TechViz - The Data Science Guy
Extractive & Abstractive Summarization with Transformer Language Models | Research Paper Walkthrough
16:58
Text Summarization of COVID-19 Medical Articles using BERT and GPT-2 (Research Paper Walkthrough)
TechViz - The Data Science Guy
Text Summarization of COVID-19 Medical Articles using BERT and GPT-2 (Research Paper Walkthrough)
21:52
SpanBERT: Improving Pre-training by Representing and Predicting Spans (Research Paper Walkthrough)
TechViz - The Data Science Guy
SpanBERT: Improving Pre-training by Representing and Predicting Spans (Research Paper Walkthrough)
14:21
LSBert: A Simple Framework for Lexical Simplification (Research Paper Walkthrough)
TechViz - The Data Science Guy
LSBert: A Simple Framework for Lexical Simplification (Research Paper Walkthrough)
20:27
DEEPWALK: Online Learning of Social Representations | ML with Graphs (Research Paper Walkthrough)
TechViz - The Data Science Guy
DEEPWALK: Online Learning of Social Representations | ML with Graphs (Research Paper Walkthrough)
17:44
BLEURT: Learning Robust Metrics for Text Generation (Research Paper Walkthrough)
TechViz - The Data Science Guy
BLEURT: Learning Robust Metrics for Text Generation (Research Paper Walkthrough)
13:38
A Supervised Approach to Extractive Summarisation of Scientific Papers (Research Paper Walkthrough)
TechViz - The Data Science Guy
A Supervised Approach to Extractive Summarisation of Scientific Papers (Research Paper Walkthrough)
19:01
Data Augmentation using Pre-trained Transformer Model (BERT, GPT2, etc) | Research Paper Walkthrough
TechViz - The Data Science Guy
Data Augmentation using Pre-trained Transformer Model (BERT, GPT2, etc) | Research Paper Walkthrough
17:43
Understanding Multivariate Gaussian Distribution (Machine Learning Fundamentals)
TechViz - The Data Science Guy
Understanding Multivariate Gaussian Distribution (Machine Learning Fundamentals)
13:54
CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym Discovery (Research Paper Walkthrough)
TechViz - The Data Science Guy
CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym Discovery (Research Paper Walkthrough)
23:48
Data Augmentation Techniques for Text Classification in NLP (Research Paper Walkthrough)
TechViz - The Data Science Guy
Data Augmentation Techniques for Text Classification in NLP (Research Paper Walkthrough)
14:33
Leveraging BERT for Extractive Text Summarization on Lectures (Research Paper Walkthrough)
TechViz - The Data Science Guy
Leveraging BERT for Extractive Text Summarization on Lectures (Research Paper Walkthrough)
20:10
Simple Unsupervised Keyphrase Extraction using Sentence Embeddings (Research Paper Walkthrough)
TechViz - The Data Science Guy
Simple Unsupervised Keyphrase Extraction using Sentence Embeddings (Research Paper Walkthrough)
21:23