magnet:?xt=urn:btih:0A13B50BFBCCF683614199224C8EEEBD58A20689
Lesson 3 Word Embeddings in Generative Language Models/007. 3.6 What Works Well (and What Can Go Wrong) When We Train Models on Word Embeddings.mp4 53.8 MBLesson 3 Word Embeddings in Generative Language Models/002. 3.1 How Are Word Embeddings Used in Generative Language Models.mp4 42.7 MBIntroduction/001. How LLMs Understand & Generate Human Language Introduction.mp4 26.3 MBLesson 4 Other Use Cases for Embeddings/003. 4.2 Vector Storage.mp4 26.3 MBLesson 2 Word Embeddings/003. 2.2 How Do We Capture Word Meanings.mp4 23.2 MBLesson 2 Word Embeddings/005. 2.4 How Do LLMs Learn Word Embeddings.mp4 21.2 MBLesson 4 Other Use Cases for Embeddings/004. 4.3 Retrieval Augmented Generation.mp4 20.8 MBLesson 3 Word Embeddings in Generative Language Models/006. 3.5 Transformers for Generation.mp4 20.5 MBLesson 3 Word Embeddings in Generative Language Models/005. 3.4 Transformers Contextual Word Embeddings.mp4 17.0 MBLesson 2 Word Embeddings/006. 2.5 Tokenization.mp4 13.1 MBLesson 2 Word Embeddings/004. 2.3 Word Embedding Space.mp4 12.8 MBLesson 1 Introduction to LLMs and Generative AI/004. 1.3 Machine Learning General Overview.mp4 12.1 MBLesson 3 Word Embeddings in Generative Language Models/004. 3.3 Transformers Attention.mp4 11.0 MBLesson 2 Word Embeddings/008. 2.7 A Cool Side-Effect.mp4 9.9 MBLesson 2 Word Embeddings/002. 2.1 How Do AI Models Read Input.mp4 9.0 MBLesson 4 Other Use Cases for Embeddings/002. 4.1 Summarization.mp4 8.9 MBLesson 3 Word Embeddings in Generative Language Models/003. 3.2 RNNs.mp4 6.3 MBLesson 1 Introduction to LLMs and Generative AI/003. 1.2 Generative AI.mp4 4.8 MBSummary/001. How LLMs Understand & Generate Human Language Summary.mp4 4.8 MBLesson 3 Word Embeddings in Generative Language Models/001. Learning objectives.mp4 4.2 MB
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