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AI agents can finally talk to your frontend!
The AG-UI Protocol bridges the critical gap between AI agents and frontend apps, making human-agent collaboration seamless.
MCP: Agents to tools
A2A: Agents to agents
AG-UI: Agents to users
100% open-source.
The evolution of modern RAG Architectures. 👇
In general there are so many variations you can choose from but it all eventually converges to some flavour of Agentic RAG.
𝗡𝗮𝗶𝘃𝗲 𝗥𝗔𝗚: the regular “embed query -> retrieve -> inject retrieved context into prompt” type of…
Advanced Understanding Possible
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Fine-tune 100+ LLMs directly from a UI!
LLaMA-Factory lets you train and fine-tune open-source LLMs and VLMs without writing any code.
Supports 100+ models, multimodal fine-tuning, PPO, DPO, experiment tracking, and much more!
100% open-source, 57k stars!
The main 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗧𝘆𝗽𝗲𝘀 👇
It’s no secret that an AI Agent is a piece of software wrapping an LLM or multiple LLMs as a reasoning engine to guide its execution flow. The deployment types for these agents also closely resemble those of software or…
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If you’re building AI systems in 2025, there are only two tools worth learning: LangGraph and n8n.
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Here’s everything you need to know (and what nobody is telling you):
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317K Followers 1K FollowingAI Educator. 𝕏 about AI, solutions and interesting things. Showing how to leverage AI in practical ways for you and your business. Opinions are my own.