Stanford CS224n Natural Language Processing with Deep Learning
斯坦福大学 · Large Language Models
A core NLP course running from word vectors and RNNs up to Transformers and large models, always tracking the frontier, with all materials public.
LLM fundamentals, model API docs (global and China) and prompting · 23 resources (23 checked)
斯坦福大学 · Large Language Models
A core NLP course running from word vectors and RNNs up to Transformers and large models, always tracking the frontier, with all materials public.
Hugging Face · Large Language Models
Hugging Face's official course covering Transformer architectures, fine-tuning, and the Transformers ecosystem. Completely free and widely recommended.
Hugging Face · Large Language Models
A systematic walkthrough of LLM architecture, tokenization, pretraining, alignment, and inference optimization, with runnable experiments. All free.
OpenAI · Large Language Models
OpenAI's official API documentation covering model capabilities, function calling, structured outputs, and best practices. The primary source for API-driven development.
OpenAI · Large Language Models
OpenAI's official collection of runnable examples for common scenarios such as RAG, Agents, and function calling. Learn by copying.
Anthropic · Large Language Models
Official Claude API documentation covering the Messages API, tool use, MCP, and prompt engineering. Exceptionally well written.
Google · Large Language Models
Official Gemini API docs and tutorials, including free tiers, multimodal capabilities, and a getting-started guide for Vertex AI.
DeepSeek · Large Language Models
DeepSeek's official API documentation: Chinese-friendly and inexpensive, a good fit for first API calls and reasoning-model experiments, with free credits for new users.
阿里云 · Large Language Models
Docs for Alibaba Cloud's Model Studio platform, offering APIs for the full Qwen model family, application orchestration, and enterprise capabilities, with free credits for new users.
智谱 AI · Large Language Models
Zhipu's official open platform, with API docs for GLM-4 and related models plus knowledge base and Agent capabilities. Free credits for new users.
月之暗面 · Large Language Models
Kimi's official API platform, built around ultra-long context. The docs are concise and quick to get through, with free credits for new users.
字节跳动 · Large Language Models
Docs for ByteDance's Volcano Engine LLM platform, offering the Doubao model family and model-as-a-service capabilities, with free credits for new users.
百度 · Large Language Models
Docs for Baidu's Qianfan platform, covering ERNIE-series model APIs, fine-tuning, and the full app development workflow.
MiniMax · Large Language Models
MiniMax's official API platform, offering abab-series text models and speech synthesis, with thorough documentation.
腾讯云 · Large Language Models
Tencent Hunyuan's official product page and docs hub, with API access to the hunyuan model series and industry solutions.
硅基流动 · Large Language Models
A China-based LLM API aggregation platform: one key to call dozens of popular open-source models, with free credits for new users.
Lilian Weng · Large Language Models
The tech blog of OpenAI's former safety lead, with classic long reads on LLMs, Agents, and RLHF. Worth rereading.
Jay Alammar · Large Language Models
Visual, illustration-driven explanations of Transformers, BERT, GPT, and diffusion models. Many people's go-to intro classic.
Mistral AI · Large Language Models
Official API and model documentation from Mistral AI, covering everything from chat completions to function calling.
Vaswani 等 · Large Language Models
The foundational paper of the Transformer architecture and the root of all large models; best read section by section alongside visual guides.
Devlin 等 · Large Language Models
The classic paper that introduced bidirectional pretraining, establishing the pretrain-then-finetune paradigm in NLP.
Brown 等 · Large Language Models
The GPT-3 paper, which demonstrated the few-shot learning ability of large language models — key reading for understanding how they behave.
Meta AI · Large Language Models
The Llama 3 technical report, detailing data, training, and alignment — the benchmark paper for open-source large models.