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LangChain excels at chaining LLMs together using agents to delegate actions to models. Its use cases emphasize prompt optimization and context-aware information retrieval/generation; however, with its Pythonic highly modular interface and its huge collection of tools, it is the number-one tool to implement complex business logic.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
OpenLLMetry is a set of extensions built on top of OpenTelemetry that gives you complete observability over your LLM application. Because it uses OpenTelemetry under the hood, it can be connected to your existing observability solutions - Datadog, Honeycomb, and others.
It's built and maintained by Traceloop under the Apache 2.0 license.
The repo con... See more
It's built and maintained by Traceloop under the Apache 2.0 license.
The repo con... See more
traceloop • GitHub - traceloop/openllmetry: Open-source observability for your LLM application, based on OpenTelemetry
AI writing
Michael Dean • 5 cards
LangChain enables building dynamic, data-aware applications that go beyond what is possible by simply accessing LLMs via API calls.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
baserun.ai💪💪💪
Testing & Observability Platform for LLM Apps
From prompt playground to end-to-end tests, baserun helps you ship your LLM apps with confidence and speed.
Testing framework for LLM Part
AI
Edda Burheim • 1 card
🌳 Galileo LLM Studio
Algorithm-powered LLMOps Platform
Find the best prompt, inspect data errors while fine-tuning, monitor LLM outputs in real-time. All in one powerful, collaborative platform.
Testing framework for LLM Part
AI thoughts
Susan • 1 card
SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with LLMs faster and more controllable by co-designing the frontend language and the runtime system.
The core features of SGLang include:
The core features of SGLang include:
- A Flexible Front-End Language : This allows for easy programming of LLM applications with multiple ch