What the MCP? (Part 3): When Code LLMs Need Help

Everyone’s adding MCP servers. Few are thinking about how they’ll actually be called correctly.

What the MCP? (Part 2): I Built Quick Call

I set out to write Part 2 about MCP. Instead, I fell into a rabbit hole…

What the MCP? (Part 1)

Understanding Model Context Protocol and why it’s different from function calling

Inside VectorDB

How VectorDBs work under the hood

Deep Dive into LoRA: A Practical Exploration

Secret sauce to train large language models

KV Caching in LLMs: A Visual Demonstration

A visual demonstration of KV caching in language models

Inputs to Byte Latent Transformer

Part 2 of All you need to know to get started with Byte Latent Transformer

Ten Trillion Tokens: Making AI Work for Every Indian Language

Building the largest multilingual LLM dataset for Indian languages at People+AI

Precursors to Byte Latent Transformer

Part 1 of All you need to know to get started with Byte Latent Transformer

Patience is all you need!

Patience is all you need to learn transformers.

It's LLaVA not lava!

LLaVA = Large Language and Vision assistant ≠ 🌋

Position Encoding in Transformers

How do you understand position of token in transformer?

Hello super fast blogging!

Exploring static site builder for quick blogging

LSTM simplified

In depth and intuitive explanation of LSTM architecture

RNNs a walkthrough

A Brief about Recurrent Neural Networks