Into AI
Dr. Ashish BamaniaHelping you become a 100X AI Engineer
| Platform |  | Pricing | Freemium | Publishes | Daily |
|---|---|---|---|---|---|
| Issues | 213 | Founded | 3 years ago | Last Issue | 5 days ago |
| Active | |||||
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This Week In AI Research (14-20 June 26) 🗓️
✨ Before we begin, I want to introduce you to a wonderful book called ‘RAG from First Principles’.
While most developers can spin up a RAG pipeline in an afternoon using LangChain or LlamaIndex, very few understand its internals well and k...
A hardware-level tour of how LLMs generate text
✨ Today’s newsletter edition is sponsored by Backplanes.✨
Your agent just ran for an hour. It changed multiple files, called multiple tools, followed leads, hit dead ends, made decisions, and maybe touched something you wish it hadn’t. Mos...
This Week In AI Research (7-13 June 26) 🗓️
10. DiffusionGemma
Google released DiffusionGemma, an experimental open model that uses Diffusion to generate entire blocks of text simultaneously, leading to 4x faster text generation on dedicated GPUs.
DiffusionGemma is a 26B Mixtu...
Build and train a Diffusion LLM from scratch
An end-to-end guide to training a LLaDA-style Diffusion LLM and using it to generate text.
In the previous lessons on ‘Into AI’, we learned how to build and train an LLM from scratch.
Latent Mixture-of-Experts (Latent MoE), Clearly Explained
A lesson on NVIDIA's Latent Mixture-of-Experts (MoE) architecture that powers the Nemotron-3 Super and Ultra models.
Latent Mixture-of-Experts is increasingly becoming the preferred architecture for powerful LLMs.
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Authors
The writers behind this newsletter.
Author of ‘Into AI’ → a bestselling newsletter helping engineers become 100× better in AI | Ex-CTO
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