[ WebToolTip.com ] Udemy - NLP to LLMs - Build the Understanding That Lasts
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- ~Get Your Files Here !/8 - Evaluation and failure modes/27. Evals golden sets, LLM-as-judge, regression harnesses.mp4 44.5 MB
- ~Get Your Files Here !/9 - Capstone/30. Where the field is going, and keeping current without drowning.mp4 43.5 MB
- ~Get Your Files Here !/7 - Fine-tuning/23. When to fine-tune, and the cheaper alternatives.mp4 37.5 MB
- ~Get Your Files Here !/9 - Capstone/29. Capstone classical versus LLM on the same task, measured.mp4 37.2 MB
- ~Get Your Files Here !/8 - Evaluation and failure modes/26. Hallucination, sycophancy, and other systematic failures.mp4 36.1 MB
- ~Get Your Files Here !/8 - Evaluation and failure modes/28. Safety-relevant behaviour injection and leakage basics.mp4 35.6 MB
- ~Get Your Files Here !/7 - Fine-tuning/24. LoRA, the mechanism and the knobs.mp4 35.4 MB
- ~Get Your Files Here !/7 - Fine-tuning/25. Lab LoRA fine-tune a small model.mp4 35.4 MB
- ~Get Your Files Here !/3 - Attention and the Transformer/11. Encoder, decoder, or both BERT, GPT and T5.mp4 29.9 MB
- ~Get Your Files Here !/4 - How LLMs are made/15. The open-model world.mp4 29.8 MB
- ~Get Your Files Here !/2 - Embeddings/6. word2vec and friends, briefly.mp4 28.8 MB
- ~Get Your Files Here !/4 - How LLMs are made/14. Instruction tuning and RLHF.mp4 28.5 MB
- ~Get Your Files Here !/4 - How LLMs are made/13. The GPT lineage as a series of bets.mp4 27.8 MB
- ~Get Your Files Here !/6 - RAG/20. Why RAG knowledge, freshness, and grounding.mp4 26.4 MB
- ~Get Your Files Here !/5 - Using LLMs well/17. Prompting that survives contact with production.mp4 26.3 MB
- ~Get Your Files Here !/3 - Attention and the Transformer/10. The full block multi-head, feed-forward, residuals, positions.mp4 26.0 MB
- ~Get Your Files Here !/4 - How LLMs are made/12. Pretraining objective, data, and scale.mp4 25.9 MB
- ~Get Your Files Here !/1 - Text as data/2. Why text is hard, and the NLP task landscape.mp4 25.5 MB
- ~Get Your Files Here !/5 - Using LLMs well/18. Structured output and tool calling.mp4 25.3 MB
- ~Get Your Files Here !/6 - RAG/21. Chunking, embedding, and retrieval quality.mp4 25.2 MB
- ~Get Your Files Here !/6 - RAG/22. Lab RAG over your own documents.mp4 24.9 MB
- ~Get Your Files Here !/1 - Text as data/3. Tokens, bag of words, TF-IDF.mp4 24.5 MB
- ~Get Your Files Here !/2 - Embeddings/5. From counts to meaning dense vectors.mp4 24.4 MB
- ~Get Your Files Here !/5 - Using LLMs well/19. Context windows, cost, and latency budgets.mp4 24.0 MB
- ~Get Your Files Here !/5 - Using LLMs well/16. The open-model world.mp4 22.5 MB
- ~Get Your Files Here !/1 - Text as data/4. Lab a sentiment baseline on real reviews.mp4 22.4 MB
- ~Get Your Files Here !/2 - Embeddings/7. Lab embeddings for search and clustering.mp4 21.8 MB
- ~Get Your Files Here !/3 - Attention and the Transformer/9. Self-attention, step by step with shapes.mp4 19.6 MB
- ~Get Your Files Here !/3 - Attention and the Transformer/8. The problem attention solves.mp4 17.3 MB
- ~Get Your Files Here !/1 - Text as data/scikit_learn_data/20news-bydate_py3.pkz 14.6 MB
- ~Get Your Files Here !/1 - Text as data/1. Welcome and what this course is for.mp4 9.7 MB
- ~Get Your Files Here !/3 - Attention and the Transformer/10. 03-attention-transformer-03-the-full-block.en.pdf 98.1 KB
- ~Get Your Files Here !/1 - Text as data/3. 01-text-as-data-02-tokens-bow-tfidf.en.pdf 92.3 KB
- ~Get Your Files Here !/4 - How LLMs are made/14. 04-how-llms-are-made-03-instruction-tuning-rlhf.en.pdf 89.2 KB
- ~Get Your Files Here !/3 - Attention and the Transformer/9. 03-attention-transformer-02-self-attention-step-by-step.en.pdf 85.1 KB
- ~Get Your Files Here !/1 - Text as data/uci/sentiment labelled sentences/imdb_labelled.txt 83.3 KB
- ~Get Your Files Here !/1 - Text as data/4. 01-text-as-data-03-lab-sentiment-baseline.en.pdf 81.4 KB
- ~Get Your Files Here !/4 - How LLMs are made/12. 04-how-llms-are-made-01-pretraining.en.pdf 74.9 KB
- ~Get Your Files Here !/2 - Embeddings/5. 02-embeddings-01-counts-to-meaning.en.pdf 72.2 KB
- ~Get Your Files Here !/5 - Using LLMs well/19. 05-using-llms-well-04-context-cost-latency.en.pdf 72.0 KB
- ~Get Your Files Here !/5 - Using LLMs well/16. 05-using-llms-well-01-sampling.en.pdf 70.8 KB
- ~Get Your Files Here !/5 - Using LLMs well/18. 05-using-llms-well-03-structured-output-tools.en.pdf 70.7 KB
- ~Get Your Files Here !/2 - Embeddings/6. 02-embeddings-02-word2vec-and-friends.en.pdf 69.9 KB
- ~Get Your Files Here !/2 - Embeddings/7. 02-embeddings-03-lab-search-clustering.en.pdf 69.6 KB
- ~Get Your Files Here !/7 - Fine-tuning/25. 07-fine-tuning-03-lab-lora-fine-tune.en.pdf 67.3 KB
- ~Get Your Files Here !/3 - Attention and the Transformer/8. 03-attention-transformer-01-problem-attention-solves.en.pdf 67.2 KB
- ~Get Your Files Here !/7 - Fine-tuning/24. 07-fine-tuning-02-lora.en.pdf 66.9 KB
- ~Get Your Files Here !/5 - Using LLMs well/17. 05-using-llms-well-02-prompting-in-production.en.pdf 66.0 KB
- ~Get Your Files Here !/4 - How LLMs are made/15. 04-how-llms-are-made-04-open-model-world.en.pdf 65.0 KB
- ~Get Your Files Here !/6 - RAG/21. 06-rag-02-chunking-and-retrieval-quality.en.pdf 64.5 KB
- ~Get Your Files Here !/1 - Text as data/2. 01-text-as-data-01-why-text-is-hard.en.pdf 63.0 KB
- ~Get Your Files Here !/4 - How LLMs are made/13. 04-how-llms-are-made-02-gpt-lineage.en.pdf 62.8 KB
- ~Get Your Files Here !/8 - Evaluation and failure modes/26. 08-evaluation-01-failure-modes.en.pdf 61.8 KB
- ~Get Your Files Here !/6 - RAG/22. 06-rag-03-lab-rag-over-documents.en.pdf 60.2 KB
- ~Get Your Files Here !/9 - Capstone/29. 09-capstone-01-capstone-classical-vs-llm.en.pdf 60.0 KB
- ~Get Your Files Here !/1 - Text as data/uci/sentiment labelled sentences/yelp_labelled.txt 59.9 KB
- ~Get Your Files Here !/8 - Evaluation and failure modes/27. 08-evaluation-02-evals.en.pdf 59.7 KB
- ~Get Your Files Here !/8 - Evaluation and failure modes/28. 08-evaluation-03-safety-basics.en.pdf 59.0 KB
- ~Get Your Files Here !/3 - Attention and the Transformer/11. 03-attention-transformer-04-encoder-decoder-families.en.pdf 57.4 KB
- ~Get Your Files Here !/1 - Text as data/uci/sentiment labelled sentences/amazon_cells_labelled.txt 56.9 KB
- ~Get Your Files Here !/6 - RAG/20. 06-rag-01-why-rag.en.pdf 54.6 KB
- ~Get Your Files Here !/7 - Fine-tuning/23. 07-fine-tuning-01-when-to-fine-tune.en.pdf 52.8 KB
- ~Get Your Files Here !/6 - RAG/22. solutions-06-rag-over-documents-solution.ipynb.bin 52.5 KB
- ~Get Your Files Here !/9 - Capstone/29. solutions-09-capstone-classical-vs-llm-solution.ipynb.bin 49.2 KB
- ~Get Your Files Here !/6 - RAG/22. starter-06-rag-over-documents.ipynb.bin 48.1 KB
- ~Get Your Files Here !/7 - Fine-tuning/25. solutions-07-lora-fine-tune-solution.ipynb.bin 43.2 KB
- ~Get Your Files Here !/9 - Capstone/30. 09-capstone-02-keeping-current.en.pdf 40.8 KB
- ~Get Your Files Here !/9 - Capstone/29. starter-09-capstone-classical-vs-llm.ipynb.bin 36.4 KB
- ~Get Your Files Here !/1 - Text as data/4. solutions-01-sentiment-baseline-solution.ipynb.bin 33.5 KB
- ~Get Your Files Here !/7 - Fine-tuning/25. starter-07-lora-fine-tune.ipynb.bin 33.4 KB
- ~Get Your Files Here !/2 - Embeddings/7. solutions-02-search-clustering-solution.ipynb.bin 33.4 KB
- ~Get Your Files Here !/2 - Embeddings/7. starter-02-search-clustering.ipynb.bin 31.2 KB
- ~Get Your Files Here !/9 - Capstone/30. c2-next-steps.en.pdf 29.8 KB
- ~Get Your Files Here !/1 - Text as data/4. starter-01-sentiment-baseline.ipynb.bin 29.3 KB
- ~Get Your Files Here !/8 - Evaluation and failure modes/27. Evals golden sets, LLM-as-judge, regression harnesses_en-US.srt 12.3 KB
- ~Get Your Files Here !/8 - Evaluation and failure modes/26. Hallucination, sycophancy, and other systematic failures_en-US.srt 11.3 KB
- ~Get Your Files Here !/7 - Fine-tuning/24. LoRA, the mechanism and the knobs_en-US.srt 10.9 KB
- ~Get Your Files Here !/9 - Capstone/30. Where the field is going, and keeping current without drowning_en-US.srt 10.6 KB
- ~Get Your Files Here !/8 - Evaluation and failure modes/28. Safety-relevant behaviour injection and leakage basics_en-US.srt 9.8 KB
- ~Get Your Files Here !/9 - Capstone/29. Capstone classical versus LLM on the same task, measured_en-US.srt 9.8 KB
- ~Get Your Files Here !/7 - Fine-tuning/23. When to fine-tune, and the cheaper alternatives_en-US.srt 9.7 KB
- ~Get Your Files Here !/7 - Fine-tuning/25. Lab LoRA fine-tune a small model_en-US.srt 9.4 KB
- ~Get Your Files Here !/4 - How LLMs are made/14. Instruction tuning and RLHF_en-US.srt 9.1 KB
- ~Get Your Files Here !/3 - Attention and the Transformer/11. Encoder, decoder, or both BERT, GPT and T5_en-US.srt 8.8 KB
- ~Get Your Files Here !/4 - How LLMs are made/15. The open-model world_en-US.srt 8.7 KB
- ~Get Your Files Here !/3 - Attention and the Transformer/10. The full block multi-head, feed-forward, residuals, positions_en-US.srt 8.6 KB
- ~Get Your Files Here !/2 - Embeddings/6. word2vec and friends, briefly_en-US.srt 8.6 KB
- ~Get Your Files Here !/4 - How LLMs are made/12. Pretraining objective, data, and scale_en-US.srt 8.5 KB
- ~Get Your Files Here !/5 - Using LLMs well/19. Context windows, cost, and latency budgets_en-US.srt 8.5 KB
- ~Get Your Files Here !/5 - Using LLMs well/18. Structured output and tool calling_en-US.srt 8.4 KB
- ~Get Your Files Here !/1 - Text as data/3. Tokens, bag of words, TF-IDF_en-US.srt 8.3 KB
- ~Get Your Files Here !/6 - RAG/21. Chunking, embedding, and retrieval quality_en-US.srt 8.2 KB
- ~Get Your Files Here !/5 - Using LLMs well/17. Prompting that survives contact with production_en-US.srt 8.1 KB
- ~Get Your Files Here !/1 - Text as data/4. Lab a sentiment baseline on real reviews_en-US.srt 8.1 KB
- ~Get Your Files Here !/4 - How LLMs are made/13. The GPT lineage as a series of bets_en-US.srt 8.0 KB
- ~Get Your Files Here !/1 - Text as data/2. Why text is hard, and the NLP task landscape_en-US.srt 8.0 KB
- ~Get Your Files Here !/5 - Using LLMs well/16. The open-model world_en-US.srt 8.0 KB
- ~Get Your Files Here !/6 - RAG/22. Lab RAG over your own documents_en-US.srt 7.9 KB
- ~Get Your Files Here !/6 - RAG/20. Why RAG knowledge, freshness, and grounding_en-US.srt 7.8 KB
- ~Get Your Files Here !/2 - Embeddings/5. From counts to meaning dense vectors_en-US.srt 7.7 KB
- ~Get Your Files Here !/2 - Embeddings/7. Lab embeddings for search and clustering_en-US.srt 7.2 KB
- ~Get Your Files Here !/3 - Attention and the Transformer/9. Self-attention, step by step with shapes_en-US.srt 7.1 KB
- ~Get Your Files Here !/3 - Attention and the Transformer/8. The problem attention solves_en-US.srt 6.4 KB
- ~Get Your Files Here !/1 - Text as data/uci/sentiment labelled sentences/DS_Store 6.0 KB
- ~Get Your Files Here !/1 - Text as data/1. Welcome and what this course is for_en-US.srt 3.5 KB
- ~Get Your Files Here !/1 - Text as data/README.md 1.3 KB
- ~Get Your Files Here !/1 - Text as data/uci/sentiment labelled sentences/readme.txt 1.0 KB
- ~Get Your Files Here !/1 - Text as data/uci/__MACOSX/_sentiment labelled sentences 212 bytes
- ~Get Your Files Here !/1 - Text as data/uci/__MACOSX/sentiment labelled sentences/_.DS_Store 212 bytes
- ~Get Your Files Here !/1 - Text as data/uci/__MACOSX/sentiment labelled sentences/_imdb_labelled.txt 212 bytes
- ~Get Your Files Here !/1 - Text as data/uci/__MACOSX/sentiment labelled sentences/_readme.txt 212 bytes
- Get Bonus Downloads Here.url 180 bytes
- ~Get Your Files Here !/Bonus Resources.txt 70 bytes
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