⛓️ build cognitive systems, pythonic
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Updated
Apr 20, 2024 - Python
⛓️ build cognitive systems, pythonic
Documentation for langsmith
AI-powered Python components and notebooks for leveraging Large Language Models from OpenAI and Hugging Face.
The "lcel-tutorial" repo is designed for mastering LangChain Expression Language (LCEL), offering exercises to build stateful, multi-actor LLM applications. It's a hands-on guide to leveraging LCEL for complex workflows and agent-like behaviors. Perfect for enthusiasts eager to explore LLM's potential.
Trainer AI is an LLM assistant agent with the goal of helping you workout more efficiently, and spend less time preparing workout sets, and analyzing data. You talk to it like a personal coach, and it records your efforts, and lays plans for you to reach your goals.
AI Cookbooks of Various Python Notebooks and code for using AI with various LLM models, UI's and Embeddings
LCEL Langchain Tutorial
Scripts for testing LangChain functionalities
ATS is a web application where the user on uploading the resume and the Job Description can get the percentage match of the job and their strength and weakness in the resume
img2card is a unique Telegram Bot designed to simplify your contact management. It takes facade pictures or contact card pictures as input and generates vCard files
Discover LangSmith: Your gateway to crafting production-grade LLM (Large Language Model) applications with ease. Dive into a world of innovation and efficiency as LangSmith empowers you to create sophisticated language-driven solutions effortlessly.
integrate with @langfuse or langsmith - plug-and-play observability for @promplate
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