LLM

大模型自用资料。

前沿解读

• https://magazine.sebastianraschka.com/

GGUF模型下载

• https://modelscope.cn/models

论文 & 模型

deepseek

• DeepSeek-VL2: https://github.com/deepseek-ai/DeepSeek-VL2/blob/main/DeepSeek_VL2_paper.pdf https://arxiv.org/pdf/2412.10302
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs viaReinforcement Learning https://github.com/deepseek-ai/DeepSeek-R1/blob/main/DeepSeek_R1.pdf
• DeepSeek-V3 Technical Report https://github.com/deepseek-ai/DeepSeek-V3/blob/main/DeepSeek_V3.pdf
• DeepSeek-Coder: When the Large Language Model Meets Programming - The Rise of Code Intelligence https://arxiv.org/pdf/2401.14196

o1

• let's verify step by step: https://arxiv.org/pdf/2305.20050
• Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters: https://arxiv.org/pdf/2408.03314

其它

• ChatGLM2 CODE
• LLaMA: Open and Efficient Foundation Language Models PDF CODE
• ChatGLM CODE
• PaLM: Scaling Language Modeling with Pathways PDF
• InstructGPT PDF
• GPT 3.0 PDF
• T5: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer PDF CODE
• GPT 2.0 PDF
• GPT 1.0 PDF
• BERT PDF
• Transformers PDF

Transformer原理

• transformer-explainer https://poloclub.github.io/transformer-explainer
• The Illustrated Transformer http://jalammar.github.io/illustrated-transformer/

工具

• langchain

书籍

• 大语言模型

评测

• A Survey on Evaluation of Large Language Models