Papers I plan to read.
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Surveys
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LLMs training / inference / architecture
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Increasing context length
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Interpret-ability
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Tool integration w/ LLMs
- Gorilla: Large Language Model Connected with Massive APIs Patil et al. (2023)
- MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action Yang et al. (2023)
- Efficient Tool Use with Chain-of-Abstraction Reasoning Gao et al. (2024)
- THE LANDSCAPE OF EMERGING AI AGENT ARCHITECTURES FOR REASONING, PLANNING, AND TOOL CALLING: A SURVEY
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In-Context Learning
- Reddit discussion
- What Makes In-Context Learning Work?
- Mind the instructions
- Learning Algorithm, You Tube
- Many shot in-context learning
- Transformers Learn Higher-Order Optimization Methods for In-Context Learning
- Anthropic: In-context Learning and Induction Heads
- In-Context Learning Creates Task Vectors
- A mechanistic understanding of chain-of-thought reasoning
- Intention
- Transformer Circuits, Induction Heads, In-Context Learning,, Stanford, CS25
- Transformers Learn In-Context by Gradient Descent
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Planning with AI
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Quantization
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Self-Supervised Learnings
- pretext-based
- contrastive-based
- Architectural change
- Feature de-correlation-base
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Closer to Metal