Btw if you're learning how to build LLMs from the ground up, there's now a 17h companion video course for my LLMs From Scratch book on Manning: manning.com/livevideo/mast… It follows the book chapter by chapter, so it works great either as a standalone or code-along resource. It's

Self-evolving agents are an important component to artificial superintelligence. Finally, there is a survey paper on the topic. I believe it covers a lot of the important literature on self-evolving agents. A top read for the weekend!

The Agentic Web is upon us! If you want to learn about the Agentic Web, look no further. This new report is a banger! It presents a detailed framework to understand and build the agentic web. Here is everything you need to know:

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Comprehensive Taxonomy of LLM Hallucinations Nice report covering common hallucinations, root causes, and mitigation strategies.

11 FREE Books from MIT for Absolute Beginners - Machine Learning (ML) - Deep Learning (DL) - Reinforcement Learning (RL) - Artificial Intelligence (AI)

.Peter Yang spent a month interviewing the most AI-forward companies about their AI best practices. Here are a few of the tips he shared in today's post:

New research shows LLMs favor compression over nuance — a key reason they lack human-like understanding. By Stanford postdoc Chen Shani, CDS Research Scientist Ravid Shwartz Ziv, CDS Founding Director Yann LeCun, & Stanford professor Dan Jurafsky. nyudatascience.medium.com/the-efficiency…

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GPT-5 Specs Are Extraordinary OpenAI's flagship model for coding, reasoning, and agentic tasks across domains. - 400k input context window - 128k max output tokens - web search, image gen, MCP supported in responses API - fine-tuning is supported - mind-blowing pricing

GPT-5 is here. Rolling out to everyone starting today. openai.com/gpt-5/

Stanford’s Machine Learning - by Andrew Ng Complete lecture notes from 2023 (227 Pages).

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

Waited forever for this perfect shot - Yellow and Green Lines all in one frame. #bengaluru #bangalore #NammaMetro #yellowlinemetro

Anyone can build useful AI Agents. But it requires having a solid framework to design and improve AI agents. That's what we'll teach in our new training on Building Effective AI Agents. Topics include context engineering, augmenting AI agents, multi-agent systems, and more.

What’s next on the path to AGI? In Episode 5 of the OpenAI Podcast, Chief Scientist Jakub Pachocki and Technical Fellow Szymon Sidor join host Andrew Mayne to explore the journey to AGI so far — from today’s breakthroughs to the possibilities ahead.

Top models per use-case Everyday use - GPT-4o, GPT-5 thinking Coding - Sonnet 4, Opus 4.1 Coding (cheap) - Qwen coder Video - Seadance Pro, Veo-3 Images - Seadance, GPT image OCR, simple tasks - Gemini Flash Report writing - Gemini 2.5 Pro Reasoning - GPT-5 thinking Real-time

Top AI Papers of The Week (August 11-17): - DINOv3 - M3-Agent - Illusion of Progress - TRImodal Brain Encoder - Efficient Architectures for LLMs - Deep Dive into RL for LLM Reasoning - GPT-5 for Multimodal Medical Reasoning Read on for more: