LoRA Without Regret – Recent Blog from Thinking Machines TL/DR: LoRA actually matches full supervised fine-tuning(SFT) when you get the details right. Nearly same sample efficiency, loss(or better), same final performance. Some plain points:
– Apply LoRA to ALL layers,
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LoRA Matches Full Fine-Tuning Performance With Proper Implementation
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6 Steps for Businesses to Successfully Implement AI Engineering
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AI Engineering Cheat Sheet: 6 Steps for Businesses Define Strategy & Business Alignment Build the Right Data Foundation Adopt Scalable AI Architectures & Tools Ensure Security, Reliability & Compliance Integrate AI into Business Processes Monitor, Govern &
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Mastering Prompt Engineering Fundamentals
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The meta-lesson from reverse-engineering Anthropic's library:
Prompt engineering isn't about clever tricks. It's about clear communication of: WHO should respond (role)
WHAT they should do (task)
HOW they should do it (process)
WHAT format to use (structure)
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100+ Free Open Source AI Agents and RAG Tutorials
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Stay tuned for more such interesting posts → @Saboo_Shubham_ I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support
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100+ Free Step-by-Step AI Agents and RAG Systems Tutorials
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100+ free step-by-step tutorials with code covering: AI Agents RAG Systems Voice AI Agents MCP AI Agents Multi-agent Teams Autonomous Game Playing Agents P.S: Don't forget to subscribe for FREE to access future tutorials.
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VibeKit: Secure Sandbox for Running AI Coding Agents
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Run Gemini CLI, Codex, Grok and Claude Code in a secure sandboxes. VibeKit lets you run AI coding agents in Docker containers with secret redaction and real-time observability baked in. 100% offline, local, and Opensource.
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DeepSearch: Training Small Reasoning Models More Effectively
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How do you train small reasoning models more effectively? Many AI developers run into the same problem: RL fine-tuning plateaus quickly, especially for 1–2B parameter models. A new approach called DeepSearch offers a neat solution. Instead of only using Monte Carlo Tree
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Claude Sonnet 4.5: Memory Breakthrough for AI Coding
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Claude Sonnet 4.5: The Real Breakthrough Is Memory This week, @AnthropicAI unveiled Claude Sonnet 4.5. The coding improvements are real — but the deeper shift isn’t about code at all. It’s about memory. Claude Code now includes a memory tool that can persist files to disk
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Vibe Coded App Using Fal on Hugging Face Spaces
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Vibe coded app using Fal: https://
huggingface.co/spaces/akhaliq
/Ovi
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Cursor AI Token Limits: Smart Summarization Over Extended Context
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The recent @cursor_ai updates to summarize your chat when you hit token limits prove you don't really need a long context, just solid problem-solving. The chat about my project is a long list of related things to solve and doesn't need stop…