"Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning" โ at http://
amzn.to/448dSiA v/ @PacktDataML ๐ฆ๐ฑ๐ช๐ฝ ๐จ๐ธ๐พ ๐ฆ๐ฒ๐ต๐ต ๐๐ฎ๐ช๐ป๐ท:
Develop memory models to retain short-term and
MACHINE LEARNING
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Context Engineering for Multi-Agent Systems Architecture
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Scikit-learn Cookbook: 80+ Recipes for Machine Learning in Python
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Scikit-learn Cookbook โ 80+ recipes for #MachineLearning in Python with scikit-learn [3rd Edition]: http://
amzn.to/4oDGOq7 v/ @PacktDataML ๐๐ธ๐ท๐ฝ๐ฎ๐ท๐ฝ๐ผ:
Common Conventions & API Elements of Scikit-Learn
Pre-Model Workflow and Data Preprocessing
Dimensionality -
Practical Guide to Building AI Agents with LLMs and RAG
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"Building AI Agents with LLMs, RAG, and Knowledge Graphs โ A practical guide to autonomous and modern AI agents" See it at http://
amzn.to/4622k2h via @PacktDataML -
Vector Search for Practitioners and AI Solutions
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Vector Search for Practitioners with Elastic โ A toolkit for building #NLProc solutions for search, observability, and security: http://
amzn.to/3vEkWFe v/ @PacktDataML What you will learn:
Optimize performance by harnessing the capabilities of vector search
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PlaNet: Learning Latent Dynamics for Planning from Pixels
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#PaperADay 12
2019: Learning Latent Dynamics for Planning from Pixels (PlaNet) https://
arxiv.org/pdf/1811.04551 This was the forerunner to the Dreamer 1/2/3/4 series of RL agents / papers, which I am going to read in sequence. Planning is common in tasks with fully specified transition -
Kimi K2.5 tops LM Arena open models, top 7 coding
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Kimi K2.5 captures a top spot on LM Arena among open models and lands in top 7 in coding category. Top 15 overall
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Data Efficiency Research for RLVR Accepted to MLSys 2026
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Exciting work from our team, studying data efficiency for RLVR. These kinds of insights inform our dataset creation work for foundation model labs. Kudos to @realjustinbauer @pham_derek for this paper's acceptance to #MLSys 2026!
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3D World Models: The Key to Truly Intelligent Robots
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What's the single biggest roadblock to creating truly intelligent robots? A new survey tackles this. They argue that moving beyond simple point clouds to dense, AI-powered 3D "world models" is key. These neural scene representations, like NeRF and 3D Gaussian Splatting,
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RAG as a Modular Stack: Building Scalable Enterprise AI Systems
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RAG isnโt a tool.
Itโs a stack. LLMs
Frameworks
Vector DBs
Embeddings
Extraction
Evaluation Winning teams design modular RAG systems โ not single-vendor pipelines. This is how enterprise AI actually scales.