"Building Business-Ready Generative #AI Systems — Build Human-Centered Generative AI Systems with Context-Aware Agents, Memory, and LLMs for the Enterprise" at http://
amzn.to/3Jdcio5 v/ @PacktDataML Learn:
Implement an AI controller with a conversation AI agent and
LLMS
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Building Human-Centered Generative AI Systems with Agents and LLMs for Enterprise
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Building Production-Ready AI Agent Systems with LangChain
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30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: http://
amzn.to/41ckg6z v/ @PacktDataML —
What you will learn:
Deploy production-ready agent systems that scale securely and reliably
Use LangChain and -
Graph Machine Learning: Advancements in Graph Data for Robust ML Algorithms
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Graph Machine Learning — Latest advancements in Graph Data to build robust Machine Learning algorithms (2nd Edition) — at http://
amzn.to/45Y3LyI v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Master new graph ML techniques through updated examples using PyTorch Geometric and Deep -
AI Told People a Fake Disease Was Real, Study Finds
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Scientists invented a fake disease. #AI told people it was real
by Chris Stokel-Walker @Nature Learn more: https://
bit.ly/3P9KyE8 #ArtificialIntelligence #ML #MachineLearning -
New Book: A Practical Guide to Reinforcement Learning from Human Feedback
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New release from @PacktDataML available at http://
amzn.to/3PMn1ZL A Practical Guide to Reinforcement Learning from Human Feedback (RLHF). Amazon Summary: RLHF is a powerful approach to AI alignment and human-centered machine learning. By combining reinforcement learning -
Tandem Architecture Boosts Speech AI with Async Knowledge Injection
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Two Heads Are Better Than One: Async Knowledge Injection for Speech AI with Tandem Architecture Technical Blog: https://
pub.sakana.ai/kame/ -
GPT-5.5 Pushes Back on Goofy Cover Letter Demo Requests
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Sometimes when I demo AI, I show it turning cover letters into goofy formats (poetry, etc) as an introduction to the idea of AI as translator between forms. For the first time, GPT-5.5 has been trying to get me to tone these requests down so I don’t ruin my chances at the job.
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Building AI Agents With Persistent Memory and Continuous Learning
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This Lex Fridman podcast montage is pure fire
— Terence Leung (@TerenceLeungSF) 3 mai 2026
Sam Altman: “Your whole life should fit in one context window.”
Memory isn’t a feature of an agent.⁰
It is the agent. No more stateless resets. Building agents that actually remember, learn, and evolve.@mvollmer1 @Nicochan33 pic.twitter.com/joTjjwrLmWThis Lex Fridman podcast montage is pure fire Sam Altman: “Your whole life should fit in one context window.”
Memory isn’t a feature of an agent.
It is the agent. No more stateless resets. Building agents that actually remember, learn, and evolve. @mvollmer1 @Nicochan33 -
Artificial Analysis Index Limitations for AI Model Benchmarking
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The artificial analysis index is a normalized score of several benchmarks (and has changed over time) it is fine for roughly comparing models, it is not useful for trend analysis and it is unclear what individual point differences in the scores mean.
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Sakana Fugu: Multi-Agent Orchestration System as Foundation Model
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Sakana Fugu: A Multi-Agent Orchestration System as a Foundation Model