#reinforcement learning
142 related articles
·3 min
Deep Conversation with Gemini's Four Co-Leads: Technical Roadmap, Current State, and Future Direction
Google Gemini's four co-leads — Jeff Dean, Noam Shazeer, and others — discuss Gemini's technical roadmap, multimodal capabilities, Agent direction, and future strategy in a rare joint conversation.
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·4 min
OpenAI Swarm Framework Explained: The Core Mechanisms of Function Call and Handoff
Deep dive into OpenAI Swarm multi-agent orchestration framework, explaining Function Call tool invocation and Handoff task transfer mechanisms with local deployment guide.
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Tutorials·2 min
Building a Financial Analysis Agent with Cursor + MCP: From Architecture Design to Production Deployment
A complete guide to building a financial analysis Agent system from scratch using Cursor AI and MCP protocol, covering three-layer architecture design, MCP Server development, and production deployment.
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Tutorials·1 min
Hermes Agent Local Deployment Tutorial: Installing and Configuring a Self-Evolving AI Assistant
Complete guide to deploying Hermes Agent locally, covering WSL2 installation, Git setup, and DeepSeek model integration on Windows to build a self-learning open-source AI Agent.
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Tutorials·2 min
Hermes Agent Local Deployment Tutorial: Installing and Configuring a Self-Evolving AI Assistant
Complete guide to deploying Hermes Agent locally on Windows, covering WSL2 setup, Git configuration, and DeepSeek model integration for a self-learning AI Agent.
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Product Reviews·2 min
GPT-5.1 vs Claude Sonnet 4.5 Hands-On Comparison: Coding, Writing, and Creativity Benchmarked
Hands-on comparison of GPT-5.1 vs Claude Sonnet 4.5 across long-form writing, classical poetry, front-end coding, and UI reproduction to help you pick the right AI model.
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Product Reviews·2 min
GPT 5.1 vs Claude Sonnet 4.5 Hands-On Comparison: Who Wins at Reasoning, Writing, and Coding
Hands-on comparison of GPT 5.1 Thinking vs Claude Sonnet 4.5 across story writing, math reasoning, emotional support, instruction following, and coding to help you choose the right AI model.
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Tutorials·2 min
How to Switch to Full-Power Claude 4 in Cursor: Enable Max Mode to Boost Your Coding Efficiency
Learn how to switch to full-power Claude Opus 4 in Cursor, enable Max mode, manage quotas, and optimize prompts to dramatically boost your AI coding efficiency.
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Industry Insights·2 min
OpenAI Codex Tutorials Mass-Copied on Bilibili, Highlighting AI Content Farm Problem
At least 9 Bilibili accounts mass-published identical OpenAI Codex tutorial videos, exposing content farm operations in the AI tools space.
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Tech Frontiers·1 min
Gemini 3.5 Flash Achieves a Massive Leap on the GDPval Benchmark
Google Gemini 3.5 Flash surpasses Gemini 3.1 Pro on the GDPval benchmark. The lightweight Flash model leverages post-training techniques to approach frontier-level performance, redefining the balance between quality and cost.
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Tutorials·3 min
Alibaba Cloud Bailian Platform Hands-On: Complete Tutorial from API Calls to Multi-Turn Conversations
Complete tutorial on Alibaba Cloud Bailian platform covering API Key setup, Qwen model calls, streaming output, multi-turn conversation principles, and prompt engineering with four roles.
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Deep Dives·4 min
AI Hallucinations: Why Large Language Models Inevitably "Make Things Up" and How to Deal With It
Deep dive into AI hallucination's three root causes: training objective flaws, exposure bias, and probabilistic generation. Covers classification and practical mitigation strategies including RAG.
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Deep Dives·3 min
Complete Guide to LLM Training: Pre-training, SFT Fine-tuning, and Preference Alignment Explained
Complete guide to the three core LLM training stages: pre-training, supervised fine-tuning (SFT), and preference alignment (DPO/PPO), covering LoRA, distillation, quantization, and pruning.
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Deep Dives·3 min
Deep Dive into How Claude Code Works: A New Programming Paradigm Driven by the Agent Loop
Deep dive into how Claude Code works, including the Agentic Loop, automatic context compaction, tool calling, and permission modes that power autonomous AI programming.
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Deep Dives·3 min
Deep Dive into Hermes Agent Self-Evolution: The GIPA Algorithm and Engineering Practice
Deep analysis of NousResearch's Hermes Agent Self Evolution project: GIPA genetic Pareto prompt evolution algorithm, six-step optimization loop, and five guardrail mechanisms for real-world Agent self-evolution.
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Expert Opinions·3 min
Burning Money on AI with Nothing to Show? Three Hidden Pitfalls a Developer Learned After Spending $140
A developer spent $140 in Tokens probing AI's limits and identified three hidden pitfalls: using cheap models, building spaghetti projects, and creating vanity products without demand validation.
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Product Reviews·3 min
Non-Programmer Ships a Product in 16 Days Using AI Tools: A Complete Toolchain Retrospective
A non-coder indie developer shipped a product in 16 days using Gemini, Cline, MiniMax, and DeepSeek. Full retrospective on tool selection, model quality gaps, and practical lessons learned.
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Product Reviews·2 min
Is OpenAI Codex Becoming More Like Claude Code? Developers Complain About Product Homogenization
Developers complain OpenAI Codex is becoming more like Claude Code. Analysis of AI coding tool homogenization trends and what developers should prioritize when choosing programming assistants.
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Industry Insights·3 min
GPT 5.5 Dubbed 'Autistic Genius': Codex Downloads Surge 1397%, The Truth Behind the Developer Exodus
OpenAI CEO Altman calls GPT 5.5 an 'Autistic Genius.' Codex downloads surge 1397% to 90M while Claude Code drops 38%. Deep analysis of the developer migration driven by cost, performance, and UX.
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Tech Frontiers·2 min
GPT-5.6 First Leak: How Self-Training Loops Enable OpenAI's Three-Week Iteration Cycle
OpenAI's GPT-5.6 has entered internal testing, just three weeks after GPT-5.5. The key accelerator is the self-training loop introduced in GPT-5.3, enabling exponential iteration speed.
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