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Modern NLP: Solving real world problems with Transformers
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This is the first video of the Applied NLP video series.
In this example I show how you can approach the record de-duplication (or linkage) problem with semantic search.
I cover how to do this with the transformers and sentence-transformers library in Python.
Timeline
0:00 What is record linkage
1:32 Code Walkthrough
2:55 Sentence Transformers
4:17 Create Embeddings
6:25 Semantic Search
8:40 Deduplication Logic
0:12:35
Modern NLP: Solving real world problems with Transformers
0:03:06
5.Modern NLP Transformers and Large Language Models, 5.4 Retrieval augmented generation RAG 2024.
0:03:23
4.Modern NLP Transformers and Large Language Models 4.5 Solution Sentiment analysis using DistilBERT
0:02:22
5.Modern NLP Transformers and Large Language Models, 5.2 Supervised fine tuning 2024.
0:03:45
4. Modern NLP Transformers and Large Language Models 4.1 Modern natural language processing 2024.
3:33:23
Modern NLP Learning to Apply Real Use Cases
0:07:05
How I’d learn ML in 2024 (if I could start over)
0:08:39
AI/ML Engineer path - The Harsh Truth
1:45:52
[MAI554 - Lecture 1] Introduction to Deep Learning for Language Modeling
0:03:24
4. Modern NLP Transformers and Large Language Models 4.3 Large language models BERT, GPT 2024.
0:01:04
5.Modern NLP Trans and Large Language Models 5.6 Challenge Parameter efficient fine tuning with LoRa
0:51:18
Alex Conway - 10 Real World Problems Solved With Deep Learning (With Code Examples)
0:06:10
5.Modern NLP Transformers and Large Language Models, 5.3 Fine tuning methods 2024.
0:05:24
5.Modern NLP Transformers and Large Language Models, 5.1 Methods that improve LLM performance 2024.
0:05:49
AI vs Machine Learning
0:06:19
4. Modern NLP Transformers and Large Language Models 4.2 transformers neural networks 2024.
0:11:37
Modern NLP: Fundamentals of NLP- Session 1, part 1
0:57:49
Efficient Modern NLP: An Overview | Hieu Nguyen | PyData Pune Meetup | November 2020
0:25:16
NLP RealWorld Applications and Insights on Benefits for Architects and Developers
0:12:09
The 9 AI Skills You Need NOW to Stay Ahead of 97% of People
0:08:09
5.Modern NLP Trans and Large Language Models 5.7 Solution Parameter efficient fine tuning with LoRa
0:23:13
Recent Breakthroughs and Uphill Battles in Modern Natural Language Processing
0:30:54
New Methods, Old Problems: Ethics and Bias in Modern Natural Language Processing
0:05:11
5.Modern NLP Transformers and Large Language Models, 5.5 Parameter efficient fine tuning PEFT 2024.
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