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Source code for the Todo App from Section 2 of "Building Full-Stack Apps with AI" on Takeoff.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
An implementation of the Grammar of Graphics in R
In-browser Postgres sandbox with AI assistance
GPT based autonomous agent that does online comprehensive research on any given topic
GPT RStudio addins that enable GPT assisted coding, writing & analysis
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Question and Answer based on Anything.
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
A programming framework for agentic AI 🤖
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.
手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
Finetune Llama 3.2, Mistral, Phi, Qwen & Gemma LLMs 2-5x faster with 80% less memory
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
🦜🔗 Build context-aware reasoning applications
LLM based autonomous agent that conducts local and web research on any topic and generates a comprehensive report with citations.
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
Machine Learning Engineering Open Book
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/