129 related articles

Agenta is an open-source AI Agent collaboration platform supporting self-hosted models and any Agent framework, positioned as an open-source Claude Cowork alternative.

Complete guide for backend developers transitioning to AI/LLM engineering. Covers the 4 core skills—Python, RAG, Fine-tuning, and Agents—with a phased learning roadmap and practical project advice.

Just $500 in RL fine-tuning enables a 9B open-source model to outperform frontier LLMs on catalog review tasks. Analysis of when small-model RL works and its enterprise implications.

A deep dive into LLM Agent frameworks covering RAG, Agent core components (tools, memory, planning), and Agent Tuning workflows with cost considerations for production deployment.

Complete guide to DeepSeek-OCR from vLLM inference deployment and Unsloth model loading to fine-tuning, covering cloud server setup, GPU selection, and code examples — all on a single 4090 GPU.

NVIDIA CEO Jensen Huang says markets have twice misjudged the impact of DeepSeek and Kimi, arguing Chinese open-source models boost rather than reduce overall AI compute demand.
Dive into LLMs: A Complete Guide to th…
"Dive into LLMs" is a 44,830-star Chinese LLM tutorial on GitHub. Using Jupyter Notebooks, it covers Transformers, LoRA fine-tuning, RAG, and Prompt Engineering.

Reddit users report Gemini feeling "worse over time." This deep dive explains the real causes—silent updates, safety over-alignment, and compute throttling—plus how to rationally evaluate AI model performance.

CivitAI's paid "Early Access" mechanism has sparked heated debate on Reddit: should functional models stay locked behind paywalls long-term? An in-depth look at creator monetization, community consensus, and platform responsibility.

jlens-gguf is an open-source tool bringing Anthropic's Jacobian Lens interpretability method to GGUF and llama.cpp, enabling internal observation, real-time steering, and abliteration for both dense and MoE models.

Claude Code Artifacts opens to Pro/Max users with real-time web deployment. Roundup of AI Agent news: Alipay Abao beta, ByteDance EdgeBench, Microsoft Frontier Company, and OpenAI/Anthropic compute strategies.

A focused guide to the core interview topics for LLM application engineers, covering agent architecture, Multi-Agent, Langfuse evaluation & tracing, security, and RAG optimization.

A focused guide to core LLM application engineer interview topics, covering agent architecture, Multi-Agent, Langfuse evaluation, security, and RAG optimization.

A detailed guide to a complete local AI character generation workflow: from the five golden rules of LoRA training and automated ComfyUI dataset construction to hands-on comparisons of Crea2, Ideogram4, and Wan for multi-character same-frame interaction—all running free on personal hardware.

Deep dive into LangChain v1.3: compare LangChain, LangGraph, and DeepAgent paradigms, explore RAG pipelines, multi-agent systems, and local LLM deployment for enterprise AI apps.

A deep dive into Agent Tuning: from LLM hallucination and staleness issues to RAG vs. Agent architecture, the 4-step fine-tuning process, and cost analysis for building your own AI agent.

Cosine AI founder reveals how the UK's first sovereign LLM is being built — from government compute grants and RL credit attribution to multi-agent orchestration and synthetic data pipelines.

Gemini 3.5 Pro was rebuilt from scratch due to gaps in math reasoning and SVG generation, as four senior Google researchers joined Anthropic. A deep dive into the technical and talent implications.

A developer ran a 4-day benchmark testing LoRA training across Ideogram, Flux 1 Dev, Flux 2 Dev & more — revealing overfitting traps and surprising rankings.

Traditional Java roles are shrinking while AI demand surges. Learn the three paths into AI for developers, and why RAG knowledge bases are the highest-ROI entry point for Java engineers.