/LLMs-playground

What, Why and How of LLMs.

Primary LanguageJupyter NotebookApache License 2.0Apache-2.0

Generative AI Applications using LLMs

1. Conversational AI (Chatbot🤖) with RAG using LangChain🦜️ & LlamaIndex🦙

Title Medium Article Repository
Comprehensive Guide to Customize your Llama2 ChatBot using LlamaIndex and Streamlit 🔗 🔗
Mistral-7B-Instruct Based Multi-PDFs ChatBot using LangChain and Streamlit 🔗
Llama2-7B Based CSV ChatBot using LangChain 🔗
Simple RAG using AWS Bedrock 🔗

2. Advanced RAG 📚📒

Title Medium Article Repository
Optimizing Retrieval with Additional Context & MetaData using LlamaIndex🦙 🔗 🔗
Enhancing Retrieval Efficiency through Evaluating Reranker Models using LlamaIndex🦙 🔗 🔗
Query Augmentation for Next-Level Search using LlamaIndex🦙 🔗 🔗
Smart Tracking and Debugging of Document Changes using LlamaIndex🦙 🔗 🔗

3. LLM Fine Tuning 🧠 and Applications 💡

Title Medium Article Repository
Elevating Mistral-7B’s Performance through Finetuning using QLoRA 🔗 🔗
T5 Fine Tuning & Evaluation for Text Summarization 🔗
Falcon-7B Based Video 🎬 Summarization using Langchain 🔗
🎵 Audio Generation 🎹 using Audio Craft 🔗

2. Serving & Deployment ☁️

Title Medium Article Repository
Serverless Magic with Lambda, SageMaker DLC, and API Gateway 🔗 🔗
Deploy a Serverless ML Inference using FastAPI, AWS Lambda, and API Gateway 🔗 🔗
Vector Indexing and ANN using FAISS with AWS Serverless Architecture 🔗 🔗

3. Experimenting with LangChain🦜️

Title Medium Article Repository
Quickstart with LangChain 🔗
Summarization Strategies 🔗

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