Master LLMs: Ultimate Guide to Language AI in 2024
Focused View
1:57:13
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
More details
Course Overview
This comprehensive course dives deep into how Large Language Models (LLMs) understand and generate human language, covering foundational concepts to advanced applications in generative AI.
What You'll Learn
- Core principles of LLMs and generative AI
- How word embeddings capture and represent meaning
- Transformer architectures for language generation
Who This Is For
- AI enthusiasts and developers
- Data scientists exploring NLP
- Tech professionals upgrading their AI skills
Key Benefits
- Hands-on understanding of cutting-edge AI
- Practical insights into real-world applications
- Foundation for advanced NLP projects
Curriculum Highlights
- Introduction to LLMs and Generative AI
- Word Embeddings and Tokenization
- Transformers and Contextual Embeddings
Focused display
Category
- language english
- Training sessions 26
- duration 1:57:13
- Release Date 2025/05/27
