Bringing Free OSS Models to the Playground with Fireworks AI A year ago, the only real LLM people were using was OpenAI's GPT-3. Fast forward to now, and there are a multitude of models to
How "Correct" are LLM Evaluators? Summary: * We tested LangChain's LLM-assisted evaluators on common tasks to provide guidelines on how to best use them in your practice. * GPT-4 excels in accuracy
Fine-tune your LLMs with LangSmith and Lilac In taking your LLM from prototype into production, many have turned to fine-tuning models to get more consistent and high-quality behavior in their applications. Services
Timescale Vector x LangChain: Making PostgreSQL A Better Vector Database for AI Applications Editor's Note: This post was written in collaboration with the Timescale Vector team. Their integration with LangChain supports PostgreSQL as your vector database for faster
[Week of 9/18] LangChain Release Notes New in LangSmith * Org Support in LangChain Hub: share and collaborate on prompts across your team. Easily pull in organizationally-approved prompts into your LangChain code.
LangChain and Scrimba Partner to help Web Devs become AI Engineers We’re excited to announce that we are partnering with Scrimba, a code-learning platform with over a million users. Through their interactive video format known
Eden AI x LangChain: Harnessing LLMs, Embeddings, and AI Editor's Note: This post was written in collaboration with the Eden AI team. We're really excited about Eden's approach to simplifying AI implementation so that
Peering Into the Soul of AI Decision-Making with LangSmith Editor's Note: This post was written by Paul Thomson from Commandbar. They've been awesome partners as they brought their application into production with LangSmith, and
LangChain + Docugami Webinar: Lessons from Deploying LLMs with LangSmith Editor's Note: This post was written in collaboration with the Docugami team. We recently did a webinar with them and Rechat to talk about what
TED AI Hackathon Kickoff (and projects we’d love to see) The TED AI Hackathon kicks off October 14 and we’re excited to be their partner in bringing it to life! TED has a long
How to Safely Query Enterprise Data with LangChain Agents + SQL + OpenAI + Gretel Editor's Note: This post was written in collaboration with the Gretel team. We're really excited by their approach to combining agent-based methods, LLMs, and synthetic
OpaquePrompts x LangChain: Enhance the privacy of your LangChain application with just one code change Editor's Note: This blog post was written in collaboration with the Opaque team. As more apps get into production, we've been hearing more teams talk