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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
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.
AI Cookbooks of Various Python Notebooks and code for using AI with various LLM models, UI's and Embeddings
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.
Interactive notes (Jupyter Notebooks) for building AI-powered applications
Simple LangChain app used to demo LangSmith
LangChain agent that given a name, searches in google to find Linkedin and Twitter profiles, scrape the internet for information about a name you provide and generate a couple of personalized ice breakers to kick off a conversation with the person.
An innovative application designed to help pharmacists and pharmacy students quickly research FDA-approved drugs by retrieving relevant information from drug labels and adverse event datasets, and providing AI-generated summaries to streamline the learning process
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