Course Overview |
Tutorial: Using ChainForge |
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What is Language? |
What is a Language Model? |
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Entropy and Perplexity |
Connectionism |
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Vector Encodings |
Recurrent Neural Nets |
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Tokenization |
Transformers |
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CLIP embeddings |
Diffusion Models |
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Masked Language Models |
Retrieval Augmented Generation |
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Alignment I: Reinforcement Learning |
Alignment II: Reinforcing Human Values |
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Prompt Engineering |
Jailbreaking LLMs |
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Tutorial: The OpenAI API |
Tutorial: The Assistants API |
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LLMs and Knowledge Graphs I |
LLMs and Knowledge Graphs II |
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Practical 1: Hawking's Riddle |
Practical 2: Game of Tropes |
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Practical 3: Rogue Prompting |
Practical 4: Chains of Thought |
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