Agent Orchestration Explained https://
buff.ly/i8bGeGy
#AI #MachineLearning #DeepLearning #LLMs #DataScience
AGENTS
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Agent Orchestration Explained: AI Systems Coordination
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Agent-as-a-Judge: Robust LLM Evaluation Framework
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A Survey on Agent-as-a-Judge Great report to learn about agentic judges used for planning, tool-augmented verification, multi-agent collaboration, and persistent memory to enable more robust, verifiable, and nuanced evaluations. With careful crafting, it's possible to build LLM
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The Future of AI Agents in Daily Life and Automation
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My agents will buy me food for my @eatwithposha food cooking robot. And agents will soon sign up for various AI systems to do various things. And soon AI will help you plan and buy everything for a vacation, amongst other things.
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AI Agents Set to Replace Traditional E-Commerce Sites
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Début de la fin des sites e-commerce. Nous n'acheterons bientôt plus qu'au travers de nos agents IA.
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Learn Model Context Protocol with TypeScript for AI Systems
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From @chris_noring and @PacktDataML … "Learn Model Context Protocol [MCP] with TypeScript: Build agentic systems in TypeScript with the new standard for AI capabilities" at http://
amzn.to/48W6Izu TypeScript explained and why & when to use it: https://
contentful.com/blog/what-is-t
ypescript-and-why-should-you-use-it/
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DeepAgent Creates Complex AI Workflows with Single Prompt
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Abacus AI's DeepAgent will create complex AI workflows with ONE PROMPT
— Abacus.AI (@abacusai) 11 janvier 2026
Try it and it will blow you away pic.twitter.com/haAcyhttMcAbacus AI's DeepAgent will create complex AI workflows with ONE PROMPT Try it and it will blow you away
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Databricks AI Agents Transform Retail Enterprise Operations
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We’re heading to retail’s biggest stage! Join us at #NRF2026 to see how retailers are putting AI agents to work across the enterprise with Databricks. Stop by booth #6429 to explore live demos and see how customers and partners are operationalizing AI in production.
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MCP and Agent2Agent Protocol for Data Science Applications
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MCP & A2A (Agent2Agent) Protocol! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://t.co/zZMPCFXC71 pic.twitter.com/LFnTQptQbs
— Dr. Ganapathi Pulipaka 🇺🇸 (@gp_pulipaka) 11 janvier 2026MCP & A2A (Agent2Agent) Protocol! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/MCP-A2A-Protoc
ol
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SWE-EVO Benchmark for Long-Horizon Software Evolution Tasks
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9. SWE-EVO SWE-EVO introduces a benchmark for evaluating coding agents on long-horizon software evolution tasks that require multi-step modifications spanning an average of 21 files per task.
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SciSciGPT: Open-Source AI Research Collaborator for Science
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8. SciSciGPT SciSciGPT is an open-source AI collaborator that uses the science of science domain as a testbed for LLM-powered research tools.