catchup readings
updated
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper
• 2307.09288
• Published
• 244
Large-Scale Automatic Audiobook Creation
Paper
• 2309.03926
• Published
• 54
From Sparse to Dense: GPT-4 Summarization with Chain of Density
Prompting
Paper
• 2309.04269
• Published
• 33
Textbooks Are All You Need II: phi-1.5 technical report
Paper
• 2309.05463
• Published
• 87
Connecting Large Language Models with Evolutionary Algorithms Yields
Powerful Prompt Optimizers
Paper
• 2309.08532
• Published
• 53
Agents: An Open-source Framework for Autonomous Language Agents
Paper
• 2309.07870
• Published
• 42
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world
APIs
Paper
• 2307.16789
• Published
• 99
Open Problems and Fundamental Limitations of Reinforcement Learning from
Human Feedback
Paper
• 2307.15217
• Published
• 37
How is ChatGPT's behavior changing over time?
Paper
• 2307.09009
• Published
• 24
Retentive Network: A Successor to Transformer for Large Language Models
Paper
• 2307.08621
• Published
• 170
Secrets of RLHF in Large Language Models Part I: PPO
Paper
• 2307.04964
• Published
• 29
LongNet: Scaling Transformers to 1,000,000,000 Tokens
Paper
• 2307.02486
• Published
• 80
ChessGPT: Bridging Policy Learning and Language Modeling
Paper
• 2306.09200
• Published
• 9
QLoRA: Efficient Finetuning of Quantized LLMs
Paper
• 2305.14314
• Published
• 49