#
thammuio
Follow
Starred repositories
Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs
Examples of RAG using Llamaindex with local LLMs - Gemma, Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B
DocGenius AI - Generative AI Chatbot for your Documents - Powered by Cloudera Machine Learning (CML)
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Learn ML engineering for free in 4 months!
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
We jailbreak GPT-3.5 Turbo’s safety guardrails by fine-tuning it on only 10 adversarially designed examples, at a cost of less than $0.20 via OpenAI’s APIs.
A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/
demo app for Knowledge Graph Build with LLM LlamaIndex and NebulaGraph
LangChain + Next.js starter template
The prototype deploys an Application in CML using a Llama2 model from Hugging Face to answer questions augmented with knowledge extracted from the website. This prototype introduces Pinecone as a d…
A full-featured, hackable Next.js AI chatbot built by Vercel
This code is an implementation of a chatbot using LLM chat model API and Langchain.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Akcio is a demonstration project for Retrieval Augmented Generation (RAG). It leverages the power of LLM to generate responses and uses vector databases to fetch relevant documents to enhance the q…
Open AI APIs with Llama Index and Milvus Vector DB for Retrieval Augmented Generation (RAG) testing
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK
