OpenClaw meets RL!OpenClaw Agents adapt through memory files and skills, but the base model weights never actually change.OpenClaw-RL solves this!It wraps a self-hosted model as an OpenAI-compatible API, intercepts live conversations from OpenClaw, and trains the policy in the background using RL.The architecture is fully async. This means serving, reward scoring, and training all run in parallel.Once done, weights get hot-swapped after every batch while the agent keeps responding.Currently, it
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OpenClaw meets RL!OpenClaw Agents adapt through memory file…
30.4K views1 month ago
x.comAkshay 🚀
We have a simple neural net that does binary classification.Scenario 1:- Linear decision boundary- Linear Activation functionObserve how the neural net is able to quickly learn & loss converges to zero.Watch this 👇
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We have a simple neural net that does binary classification.Scenari…
7.5K viewsJun 4, 2024
x.comAkshay 🚀
In case you missed it.Yesterday, I published all my work on AI engineering in the form of a FREE 380+ pages pdf.It covers everything to set you up for a career in AI engineering.Check this out 👇
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In case you missed it.Yesterday, I published all my work on AI engin…
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x.comAkshay 🚀
Building AI agents?> don’t read blogs> don’t watch videos> write code> and build things from scratchI've open-sourced 90+ projects on AI Agent, RAG, MCP, and context engineering (27k+ stars already)
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Building AI agents?> don’t read blogs> don’t watch videos> write …
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x.comAkshay 🚀
knowledge graphs are INSANELY good at giving agents human-like memory!today, we're building an MCP-powered memory layer that can be shared across all your AI apps like Cursor, Claude Desktop etc. it's built using a real-time knowledge graph.100% open-source and self-hosted.
10:52
knowledge graphs are INSANELY good at giving agents human-like …
57.2K views8 months ago
x.comAkshay 🚀
Everyone building AI agents keeps making the same database mistake!They give agents direct read/write access to their production database, thinking that rate limits and permissions will keep things safe.Here's what actually happens:The Agent runs 50 parallel queries to optimize something.Each query seems reasonable in isolation. Together, they create a cascade of locks, updates, and resource consumption that brings down your entire system.Or worse: The agent decides to test something, and to do
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Everyone building AI agents keeps making the same database mistak…
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x.comAkshay 🚀
Another blow to Anthropic!Devs built a free and better Claude Cowork alternative:- 100% local- voice-enabled- works with any LLM- MCP tool extensibility- obsidian-compatible vault- background agents & web search- automatic knowledge graph creation100% open-source.
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Another blow to Anthropic!Devs built a free and better Claude Cow…
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x.comAkshay 🚀
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Microsoft did it again!Speech AI models have a major limitation.Th…
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Researchers just open-sourced a new RAG technique. (and it does…
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CPU vs GPU vs TPU vs NPU vs LPU, explained visually:5 hardware arc…
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Build an MCP-powered deep researcher with local LLMs
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Researchers built a new RAG approach that:- does not need a v…
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Anthropic's most viral feature is now open-source!Until now, Anthr…
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Fine-tune any LLM directly from Claude Chat👇 | Akshay Pachaar
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What are Claude Skills?𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 was never meant to hold entire workflows.Bu…
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x.comAkshay 🚀
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Software engineers are going to love this!I found an open-source e…
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x.comAkshay 🚀
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The next step after Karpathy's wiki idea:Karpathy's wiki works on kno…
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Build a real-time Voice RAG Agent using Gemma 3 & Voice Cloning
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Nothing beats open-source!MiniMax just dropped M2.1, and devs are c…
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x.comAkshay 🚀
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PyTorch Autograd vs. Unsloth Triton Kernels.The core engineeri…
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@akshay_pachaar：Recursive Language Models，清晰解析\n \n …
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