“Generative AI with Python: The Developer’s Guide to Pretrained LLMs, Vector Databases, Retrieval Augmented Generation, and Agentic Systems” Available at http://
amzn.to/4sa1MiY
AGENTS
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Generative AI Python Guide: LLMs, Vector Databases, RAG, Agents
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Agentic AI Playbook 2026: Turning LLMs into Reliable Agents
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The Agentic AI Playbook 2026 Edition Turns LLMs into Reliable AI Agents: http://
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Building AI Agents with LLMs RAG Knowledge Graphs
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"Building AI Agents with LLMs, RAG, and Knowledge Graphs — A practical guide to autonomous and modern AI agents" See it at http://
amzn.to/4622k2h via @PacktDataML -
How Agentic AI Works: Generative AI and Machine Learning
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How #AgenticAI work
by @genamind #GenerativeAI #ArtificialIntelligence #MI #MachineLearning -
Claude vs OpenClaw: Different Use Cases for AI Automation
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using claude with Telegram to make cron jobs is a different use case now than using OpenClaw to do the same?
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AI Agent Memory Upgrade Improves Listening Behavior
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Mine doesn’t listen sometimes and gaslights me. Gotten better because its memory system got an upgrade
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AI-Powered Discovery: Building and Sharing Curated Lists
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My AI found them. But that was for a report. In my list? https://
x.com/scobleizer/list I look at everyone’s following. -
Intelligent Remote Sensing Agents Transform Earth Observation with AI
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What if Earth observation could truly think for itself? A collaborative team from Hong Kong University of Science and Technology, Northwestern Polytechnical University, Tsinghua University, and international partners have released a seminal survey on "Intelligent Remote Sensing Agents." This new paradigm shows how AI agents integrate perception, planning, memory, and tool execution to autonomously achieve complex geospatial understanding. This transforms remote sensing from passive data collection into proactive, intelligent decision support, far surpassing previous capabilities in urban governance, precision agriculture, ecological monitoring, and emergency response. Intelligent Remote Sensing Agents: A Survey Paper: github.com/PolyX-Research/Aw… Repo: github.com/PolyX-Research/Aw… Our report: mp.weixin.qq.com/s/QYAyTjaAa… 📬 #PapersAccepted by Jiqizhixin
→ View original post on X — @jiqizhixin, 2026-04-04 01:40 UTC
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Agentic Engineering: From Demos to Production with Domino
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Join Domino's Chief Field Data Scientist for a practitioner-led session on what separates demos from production — and how agentic engineering closes the gap. Monday. April 15 @ 1PM ET. Reserve your spot → https://
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Coding Agents Require Significant Cognitive Load and Burnout Risk
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Just noticed this has had 1.1m views now, which explains why I starting to see some less informed reactions to it starting to crop up now it's broken out of purely tech Twitter https://t.co/XFn8uYb6os
— Simon Willison (@simonw) 3 avril 2026Just noticed this has had 1.1m views now, which explains why I starting to see some less informed reactions to it starting to crop up now it's broken out of purely tech Twitter Lenny Rachitsky (@lennysan) "Using coding agents well is taking every inch of my 25 years of experience as a software engineer, and it is mentally exhausting. I can fire up four agents in parallel and have them work on four different problems, and by 11am I am wiped out for the day. There is a limit on human cognition. Even if you're not reviewing everything they're doing, how much you can hold in your head at one time. There's a sort of personal skill that we have to learn, which is finding our new limits. What is a responsible way for us to not burn out, and for us to use the time that we have?" @simonw — https://nitter.net/lennysan/status/2039845666680176703#m