The most inspiring discoveries in large language models

Ollama enables developers to utilize large language models for efficient AI code creation and improved application security.

Langflow is a platform for creating AI agents and workflows with a visual interface and robust deployment options.

Orthrus is a framework for efficient parallel token generation in LLMs, ensuring lossless output and significant speed improvements.

TensorZero is an open-source LLMOps platform unifying API access, observability, evaluation, optimization, and experimentation for large language models.
LangExtract is a Python library for extracting structured data from unstructured text using LLMs, offering precise source grounding and visualization.
Helicone is an open-source LLM observability platform that enables AI engineers to monitor and evaluate models efficiently.

Flowise is an open-source tool for visually building AI agents, simplifying workflow automation and integration.

A repository of extracted system prompts from various AI chatbots, updated regularly for transparency and research.

Langfuse is an open source platform for LLM observability and management, enabling teams to develop and debug AI applications efficiently.

AgentScope is an agent framework for building intelligent applications using LLMs, enabling rapid development and deployment.