Avi Chawla (@_avichawla)

A simple technique makes RAG ~32x memory efficient! - Perplexity uses it in its search index - Azure uses it in its search pipeline - HubSpot uses it in its AI assistant Let's understand how to use it in RAG systems (with code):...

Andrew Ng's team once made a big mistake in a research paper. And it happened due to randomly splitting the data. Here's what happened:...

Naive RAG vs. Agentic RAG, clearly explained (with visuals):...

uv in Python, clearly explained (with code):...

Let's generate our own LLM fine-tuning dataset (100% local):...

INCREDIBLE!!! Gemini did 6 hours of manual data analysis work in just 2 mins. Gemini in a Colab notebook now lets you plan, analyze, and visualize your data. I used a dataset of 100k rows and didn't write or execute a single line of code. Completely hands-off! ...

Let's build a RAG app over audio files with DeepSeek-R1 (running locally):...

Let's fine-tune DeepSeek-R1 (distilled Llama) 100% locally:...

Let's build a mini-ChatGPT that's powered by DeepSeek-R1 (100% local):...