Popular GitHub Repositories for Frequently Bought Together

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Brings SQL and AI together.

We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！

The "official" unofficial DSPy framework. Build LLM powered agents and other workflows, based on the Stanford DSP paper.

SparkyFitness: Built for Families. Powered by AI. Track food, fitness, water, and health — together.

? Introducing ? CAMEL: a game-changing role-playing approach for LLMs and auto-agents like BabyAGI & AutoGPT! Watch two agents ? collaborate and solve tasks together, unlocking endless possibilities in #ConversationalAI, ? gaming, ? education, and more! ?

Bringing together outstanding artificial intelligence (AI) open source projects from around the world.

The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.

Experts.js is the easiest way to create and deploy OpenAI's Assistants and link them together as Tools to create advanced Multi AI Agent Systems with expanded memory and attention to detail.

iR Engine - Bringing us together on the open social spatial web. ? ? ? ?️ ??‍?

Chain together LLMs for reasoning & orchestrate multiple large models for accomplishing complex tasks

一款简单好用的 跨平台/多语言的 相似向量/相似词/相似句 高性能检索引擎。欢迎star & fork。Build together! Power another !

Play LLaMA2 (official / 中文版 / INT4 / llama2.cpp) Together! ONLY 3 STEPS! ( non GPU / 5GB vRAM / 8~14GB vRAM)

Hack Together: RAG Hack | Register, Learn, Hack

Tarsier -- a family of large-scale video-language models, which is designed to generate high-quality video descriptions , together with good capability of general video understanding.

Learn to serve Stable Diffusion models on cloud infrastructure at scale. This Lightning App shows load-balancing, orchestrating, pre-provisioning, dynamic batching, GPU-inference, micro-services working together via the Lightning Apps framework.

Bring all your Jellyfin servers together

Run MemGPT-AutoGEN-Local LLM Together

Smart AI model cascading for cost optimization

Chains stable-diffusion-webui instances together to facilitate faster image generation.