How LLMs Understand & Generate Human Language
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1:57:13
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001. How LLMs Understand & Generate Human Language Introduction.mp4
03:15
002. How LLMs Understand & Generate Human Language Introduction.mp4
03:15
001. Learning objectives.mp4
00:28
002. 1.1 LLMs.mp4
01:20
003. 1.2 Generative AI.mp4
01:22
004. 1.3 Machine Learning General Overview.mp4
04:52
001. Learning objectives.mp4
00:28
002. 2.1 How Do AI Models Read Input.mp4
02:26
003. 2.2 How Do We Capture Word Meanings.mp4
08:31
004. 2.3 Word Embedding Space.mp4
04:34
005. 2.4 How Do LLMs Learn Word Embeddings.mp4
07:01
006. 2.5 Tokenization.mp4
03:41
007. 2.6 Putting It All Together.mp4
00:44
008. 2.7 A Cool Side-Effect.mp4
03:52
001. Learning objectives.mp4
00:34
002. 3.1 How Are Word Embeddings Used in Generative Language Models.mp4
14:43
003. 3.2 RNNs.mp4
02:42
004. 3.3 Transformers Attention.mp4
03:41
005. 3.4 Transformers Contextual Word Embeddings.mp4
06:12
006. 3.5 Transformers for Generation.mp4
07:02
007. 3.6 What Works Well (and What Can Go Wrong) When We Train Models on Word Embeddings.mp4
16:15
001. Learning objectives.mp4
00:20
002. 4.1 Summarization.mp4
02:16
003. 4.2 Vector Storage.mp4
08:52
004. 4.3 Retrieval Augmented Generation.mp4
08:09
001. How LLMs Understand & Generate Human Language Summary.mp4
00:38
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- language english
- Training sessions 26
- duration 1:57:13
- Release Date 2025/01/15
