Done!We just built the fastest RAG stack leveraging BQ for efficient retrieval andusing ultra-fast serverless deployment of our AI workflow.Here's the workflow again for your reference 👇 https://t.co/9LWg9ZQ42j ...

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 assistantLet's understand how to use it in RAG systems (with code): ...

RT Avi Chawla (@_avichawla)- Google Maps uses graph ML to predict ETA- Netflix uses graph ML (GNN) in recommendation- Spotify uses graph ML (HGNNs) in recommendation- Pinterest uses graph ML (PingSage) in recommendationHere are 6 must-know ways for graph feature engineering (with code): ...

That's a wrap!If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):- Google Maps uses graph ML to predict ETA- Netflix uses graph ML (GNN) in recommendation- Spotify uses graph ML (HGNNs) in recommendation- Pinterest uses graph ML (PingSage) in recommendationHere are 6 must-know ways for graph feature engineering (with code): ...

PyTorch Geometric is a PyTorch extension specifically developed for building graph-based neural networks.It has an intuitive API that facilitates inspecting and analyzing graphs and building ML models on graph-based datasets.Open-source with 22k+ stars! https://t.co/ILcBviCorQ ...

- Google Maps uses graph ML to predict ETA- Netflix uses graph ML (GNN) in recommendation- Spotify uses graph ML (HGNNs) in recommendation- Pinterest uses graph ML (PingSage) in recommendationHere are 6 must-know ways for graph feature engineering (with code): ...

RT Avi Chawla (@_avichawla)I have been using Jupyter Notebooks for over 9 years now.Here are 5 hidden features I discovered that most users aren't aware of: ...

Overview - The author, Avi Chawla (@_avichawla), shares tutorials and insights on Data Science (DS), Machine Learning (ML), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAGs) daily [1] - The author has been using Jupyter Notebooks for over 9 years [1] Jupyter Notebook Features - The author highlights 5 hidden features of Jupyter Notebooks that most users are unaware of [1]

5) Improve rendering of DataFramesJupyter is a web-based IDE, we can format its output just like web pages.Thus, you can style your DataFrames using the style API of Pandas and speed up data analysis 👇 https://t.co/uP6i6BYwgD ...

I have been using Jupyter Notebooks for over 9 years now.Here are 5 hidden features I discovered that most users aren't aware of: ...