a researcher at ICML opens his paper with a question. what does your AI agent do when nobody’s watching? he builds a benchmark. multi-step tasks. tool use. coding assistants, research agents, the kind of thing you trust to run for hours without supervision. he gives the
LLMS
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Design Scalable Generative AI with LangChain and Vertex AI
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Generative AI on Google Cloud with LangChain — Design scalable Generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud: http://
amzn.to/4frbkPA v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Turn challenges into opportunities by learning advanced techniques for -
New book: RAG-Driven Generative AI (2nd ed.)
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New Release (2nd edition) from @PacktDataML available at http://
amzn.to/4tULP1b RAG-Driven Generative AI — Build MAS-RAG with DualRAG, GraphRAG, multimodal video pipelines, and Oracle Database 23ai 𝗞𝗲𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀:
Master DualRAG by combining vector search with SQL -
Building iPhone Apps with Codex in 2026
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I really love building iPhone apps in Codex. Codex can design the screens, write the Swift code with GPT-5.5, run the app in Simulator without opening Xcode, and even click around with computer use to test it!
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Using HTML for LLM context building
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I never liked .md Been using html for most context building since last year. My thesis has been, if it trained on the entire internet, surely there must be more html than .md? And creating context that’s easier for me to digest was more important than using .md
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Swift iPhone Development with AI Tools
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Same! Building iPhone apps in Swift is still one of my favorite things to do in Codex. These days I do it all there: GPT-Image-2 for the design, GPT-5.5 for the code, then ask Codex to run it in Simulator without opening Xcode. Hard to beat!
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Agentic Workflow Support and Token Streaming Added to NVIDIA Dynamo
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Streaming Tokens and Tools Turn Agentic Harness Support in NVIDIA Dynamo! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux
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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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Design Multi-Agent AI Systems — New Packt Release
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New release from @PacktDataML available at: http://
amzn.to/40Sp4O9 "Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Python-based Agentic AI Framework with tool use, memory, and multi-agent workflows" Table of Contents:
Introduction to Generative AI and AI -
Chronological list of baffling OpenAI model names
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The great thing is that the names are so baffling that the most important models OpenAI released were names davinci-002, GPT-3.5, GPT-4, o1-preview, o3, GPT-5 Pro, and you would never know the ways they are connected (my listing was chronological)