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Ldya Ghany

Lidya16
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AI & ML interests

Interested in web3

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liked a Space about 9 hours ago
Wan-AI/Wan2.2-Animate
reacted to mindchain's post with ❤️ about 9 hours ago
Claude Code Self & Continual Learning Hey everyone! 👋 30 GitHub Stars in 4 Days - Thank You! I'm really grateful for the positive response to the Claude Reflect System. In just 4 days, 30 developers have shown interest by starring the project. Thank you so much! What Is Claude Reflect? Correct once, never again. Claude Reflect helps Claude Code remember your corrections and preferences across sessions. Instead of repeating the same feedback, the system learns and applies it automatically. Main Features: 🧠 Learning System - Detects corrections and preferences from conversations - Stores them permanently in skill files - Applies learnings in future sessions 🔒 Safety First - Automatic backups before changes - YAML validation - Git version control ⚡ Two Modes - Manual: Run /reflect when you want - Auto: Reflects automatically at session end How It Works If you correct Claude to use pytest instead of unittest, this preference gets saved. Next time, Claude will remember and use pytest automatically. It's that simple. Getting Started 1. Clone the repository 2. Install dependencies 3. Activate the skill 4. Try it out! The python-project-creator example shows how the system learns from your feedback. Give It a Try https://github.com/haddock-development/claude-reflect-system Feel free to check it out, give feedback, or contribute. Every bit of input helps improve the project! Thank you so much for your support! --- #ClaudeCode #AI #MachineLearning #ContinualLearning #OpenSource #Developer #Coding #Python #Productivity #DevTools #GitHub #SoftwareDevelopment #Programming #AIAssistant #DeveloperTools #CodeQuality #Tech Feel free to give it a try by yourself. https://github.com/haddock-development/claude-reflect-system
reacted to unmodeled-tyler's post with 🚀 about 9 hours ago
NEW MODEL: https://huggingface.co/vanta-research/mox-8b Hey everyone! I changed up my approach with this one a bit. Mox was designed with the following characteristics: - self coherence - direct opinions - epistemic confidence - grounded meta-awareness - reasoned refusals I've been thinking a lot about what "helpfulness" means lately. Commonly in AI, that looks like fulfilling user requests as closely as possible as long as the request isn't unsafe. But I wanted to know what it was like to build a model that might be helpful in the same way a human would be. For example, if you ask Mox to write a 10 page paper on the cultural significance of staplers, Mox will probably refuse, tell you that wouldn't be useful or helpful to ANYBODY and recommend a different, but more useful approach. Mox is still very much a work in progress, but I think that this is a good starting point! I'm already generating more datasets to add more elements to Mox's persona in future versions, which you should see on the hub soon!
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