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New Technical Guide to Designing Multi-Agent AI Systems with MCP
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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 -
LLM Engineer’s Handbook for Model Development and Training
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LLM Engineer's Handbook — Master the art of engineering Large Language Models LLMs from concept to production: http://
amzn.to/4dUQrv6 v/ @PacktDataML Implement robust data pipelines and manage LLM training cycles Create your own LLM and refine with the help of hands-on -
Guide to Building Production-Ready AI Agent Systems
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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 -
Training AI Models on Amazon Reviews Using Python and NLP Libraries
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Training AI on Amazon Electronic Reviews Using #Python for Natural Language! – by – @gp_pulipaka
! JupyterLab/Jupyter Notebook WordNet, Lexical Semantic Relation Analyzer
Thesaurus, 155,000 Words
Synset 115,000, 205,000 word-Sense Pair. NLTK Library, spaCy, TextBlob -
Building an AI-Powered File Reader using RAG and LLMs
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RAG with LLM: Creating an AI-Powered File Reader! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding
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Annotation sémantique 3D en temps réel avec IA
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Semantically annotating 3D gaussian splats on the fly using gemini 3.1 + sparkjs
— Bilawal Sidhu (@bilawalsidhu) 15 mai 2026
1. Load any 3D scene and hit scan
2. Get 2D detections from VLM
3. Cluster outputs & project into 3D world space
4. Save as a persistent 3D semantic layer
Inspired by @alexanderchen's experiments… pic.twitter.com/CKZzpRkKtpSemantically annotating 3D gaussian splats on the fly using gemini 3.1 + sparkjs 1. Load any 3D scene and hit scan
2. Get 2D detections from VLM
3. Cluster outputs & project into 3D world space
4. Save as a persistent 3D semantic layer Inspired by @alexanderchen
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OpenShell v0.0.41 Introduces Agent-Driven Policy Management
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OpenShell v0.0.41 agent-driven policy management sandbox resource flags in the CLI custom CA support for OIDC TLS verification sandbox downloads with workspace-boundary checks bug fixes and stability improvements Policy and resource control, directly from the
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JAX Grows from Niche to Mainstream in Machine Learning
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The JAX package is now around the same level, 20M monthly downloads. Which is incredibly fast growth, because 5 years ago I recall it being below 2M or so. It went from niche to mainstream in the past couple of years. Well deserved success.
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New AI tool developed to watch and curate the AI community on X
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Glad you are back! By the way, I've been building software while you are gone. Built this: https://
alignednews.com/ai which watches the AI community here on X and picks the best. Who knew I'd become a software developer? Vibe coding style. 🙂