ContextGem: Effortless LLM extraction from documents
Document Summarization App using large language model (LLM) and Langchain framework. Used a pre-trained T5 model and its tokenizer from Hugging Face Transformers library. Created a summarization pipeline to generate summary using model.
Trade-Alert is a notification system that keeps users updated on critical news impacting their stock portfolios. It simplifies staying informed by delivering timely notifications for important articles, eliminating the need to monitor multiple platforms in today’s fast-paced market.
A type-safe graph execution framework built on top of OpenLit for LLM pipelines
Compose, train and test fast LLM routers
CLI tool for LLM prompt pipelines. Reusable. Shareable. Scriptable.
This project focuses on fine-tuning Meta’s LLaMA 2 model to develop a domain-specific medical chatbot capable of understanding and responding to patient and clinician queries with high accuracy. Leveraging parameter-efficient fine-tuning techniques—LoRA and QLoRA the project ensures resource-efficient training while maintaining high performance.
This project aims to build an AI-powered Legal Advisor that leverages natural language processing and vector search technology to provide users with legal guidance based on authoritative legal texts.
A minimal, modular LangChain project showcasing key components like ChatPromptTemplate, output parsing, retriever setup, and LCEL chaining — ideal for building structured LLM pipelines and RAG systems.
Sage – Prompt-Based Data Generation & Annotation Platform
Add a description, image, and links to the llm-pipeline topic page so that developers can more easily learn about it.
To associate your repository with the llm-pipeline topic, visit your repo's landing page and select "manage topics."