R-4B Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning
PROMPT ENGINEERING
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Instruction to wrap the prompt in XML tags
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Just instruct Claude Code to wrap your prompt in XML tags
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LangGraph Autonomous News Agent with Human Feedback Integration
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Autonomous News Agent A LangGraph-powered AI agent that autonomously curates news briefings, extracts facts, and summarizes content with integrated human feedback and dynamic tool selection. Check out the implementation details https://
spin.atomicobject.com/build-ai-agent
-langgraph/
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Synthetic Dataset Generation for RAG Systems Multi-Agent Evaluation
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8. Synthetic Dataset Generation for RAG Evaluation with Multi-Agent Systems The paper proposes a modular, three-agent pipeline that auto-generates synthetic QA datasets for evaluating RAG systems while enforcing privacy.
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Memory-R1: Framework Teaching LLM Agents Memory Management
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6. Memory-R1 A framework that teaches LLM agents to decide what to remember and how to use it.
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Memory-based LLM Agent Fine-tuning Without Weight Updates
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3. Fine-tuning LLM Agents without Fine-tuning LLMs A memory‑based learning framework that lets deep‑research agents adapt online without updating model weights.
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ChatGPT prompt: Your $300K growth consultant for aspiring entrepreneurs.
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This ChatGPT Prompt is literally a $300K growth consultant. Full prompt: You are assisting an aspiring entrepreneur who wants to start and scale a profitable business using proven tactics and strategies from successful business operators who have built multiple
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OpenAI’s GPT-5 Prompting Guide: 6 Critical Techniques
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Breaking: OpenAI’s Official GPT-5 Prompting Guide for Coding is Out! Mastering GPT-5 means mastering the art of prompting. OpenAI has distilled 6 critical techniques every developer, researcher, and builder should know: 1. Be precise & avoid conflicts
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GPT-5 Excels at Coding with Effective Prompting Techniques
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gpt-5 is incredible at coding, and really shines with the right prompting style:
