Retrieval-Augmented Generation (RAG) with Llama 2 using Google Colab Free-Tier
Building a Q&A app capable of answering questions related to your enterprise documents using LLama2 7B Chat and Chroma Vector Database.
Recent Posts
Optimizing Language Model Training: PEFT, LoRa, and QLoRa Techniques
techniques in fine-tuning large language models (LLMs) with significantly reduced RAM requirements
LLM Based Enterprise Search Solution using RAG In AWS
Building Large Language Models for Complex Enterprise Search Tasks using Retrieval Augmented Generation (RAG) - In AWS
Constructing a Neural Network to Classify Handwritten Digits
Build a Neural Network from scratch to recognize handwritten digits and later implement a Deep Neural Network using Pytorch
Understanding the Basics: Gradient Descent
Gradient Descent is an optimization algorithm that iteratively adjusts model parameters in the direction of steepest descent of the loss function to find the...