I was sure you’d go with Grok!
AGENTS
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GPT-5 Thinking Research Goblin Demonstrates Powerful Search Capabilities
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I wrote about how shockingly effective GPT-5 Thinking is at using its Bing-backed search tool, illustrated with 8 examples from the last 48 hours I've started calling it my Research Goblin
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StepWiser: Stepwise Generative Judges for Wiser Reasoning
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What if we apply RL+Reasoning into PRMs? StepWiser: Stepwise Generative Judges for Wiser Reasoning STEPWISER trains a CoT-based judge that checks whether each “chunk-of-thought” helps solve the problem, producing better step labels and stronger search than discriminative PRMs
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QANDA Learning Assistant: Intelligent Multi-Agent Education Platform
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QANDA Learning Assistant QANDA's educational platform transforms problem-solving with intelligent solutions, quizzes, and dynamic graphs. Built on LangGraph, its multi-agent system specializes in different educational domains for personalized learning. Learn more:
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Google Engineer Releases Free Agentic Design Patterns Book
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This Google engineer just released a 424-page free book on Agentic Design Patterns. Covers advanced prompt engineering, multi-agent frameworks, RAG, agent tool use and MCP. 100% free with practical code examples.
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Dr. Parris Discusses Model Context Protocol at IIoT AI Frontier
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Sept 10: Dr. Colin Parris, former GE Digital CTO, joins the panel on Model Context Protocol at IIoT World AI Frontier 2025. Don’t miss it! https://
buff.ly/6NShznx #sponsored #highbyte_iiot #IIoTWorldDay #IIoT #IndustrialAI @IIoT_World -
DeepMCPAgent: Dynamic MCP Tool Discovery and Agent Development
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DeepMCPAgent A powerful tool for dynamic MCP tool discovery and agent development. Built with LangChain and LangGraph, it streamlines integration over HTTP/SSE while supporting major LLMs. Check it out! https://
github.com/cryxnet/deepmc
pagent
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Location-Aware AI Agents with LangChain Framework Launch
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Location-Aware AI Agents DeepAgents and Camino AI launch intelligent agents that combine location data with web search capabilities, powered by LangChain's framework for enhanced spatial research and reasoning. Learn more here https://
blog.getcamino.ai/deepagents-loc
ation-intelligence
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Agent Evals Offline Tests Real World Success Correlation
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Fair, it's all definitions 🙂 But evals in the sense that most product builders think of them (static offline envs/test sets you run an agent version against) tend not to correlate super well to real-world success
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Share insights on LLMs, AI Agents, and Machine Learning
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If you found it insightful, reshare with your network. Find me → @akshay_pachaar For more insights and tutorials on LLMs, AI Agents, and Machine Learning!