Currently running GLM-5.1 locally Cannot believe this thing is running on my own GPUs, its really smart
LLMS
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AgentConductor: Dynamic Multi-Agent LLM Communication System
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What if multi-agent LLMs could dynamically reconfigure their communication for any task? Researchers from Shanghai Jiao Tong University and Meituan present AgentConductor. This new system uses an LLM orchestrator and reinforcement learning to build smart, adaptive
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Essential LLM Fine-Tuning Techniques to Master
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LLM fine-tuning techniques I'd learn if I were to customize them:
— Akshay 🚀 (@akshay_pachaar) 17 avril 2026
Bookmark this.
1. LoRA
2. QLoRA
3. Prefix Tuning
4. Adapter Tuning
5. Instruction Tuning
6. P-Tuning
7. BitFit
8. Soft Prompts
9. RLHF
10. RLAIF
11. DPO (Direct Preference Optimization)
12. GRPO (Group Relative… pic.twitter.com/EiUmhJVQjdLLM fine-tuning techniques I'd learn if I were to customize them: Bookmark this. 1. LoRA
2. QLoRA
3. Prefix Tuning
4. Adapter Tuning
5. Instruction Tuning
6. P-Tuning
7. BitFit
8. Soft Prompts
9. RLHF
10. RLAIF
11. DPO (Direct Preference Optimization)
12. GRPO (Group Relative -
Anthropic Launches Claude Opus 4.7 Advanced Model
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Claude Opus 4.7 might be the new default ‘serious work’ model for builders. Anthropic just shipped Opus 4.7:
Stronger advanced coding & agentic workflows
High‑res vision (2,576px / ~3.75MP) for dense UIs & diagrams
Better long‑context reasoning across finance, legal, -
Local AI made easy with overnight agent tuning and evals
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Let me make local AI easy for you Inference setup & optimization are simple now
across pretty much any Inference Engine Just have an agent run evals overnight
sweep a few quants per GPU / inference stack
and generate bash scripts with best configs Wake up to tuned performance -
20 Must-Try AI Tools for 2025: Complete Stack
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20 must-try AI tools for 2025. This stack covers everything: chat & reasoning image gen video gen voice/music AI search automation AI agents My top 3 right now: ChatGPT, Perplexity, Midjourney. What are yours? #AI #AITools #GenerativeAI #Automation
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Anthropic’s Opus 4.7 Faces Major User Backlash
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my whole fy page is people ranting about opus 4.7 anthropic messed up big time
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In-Place Test-Time Training Lets LLMs Update Weights While Running
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Someone just made LLM weights absorb new knowledge without retraining. Researchers built In-Place Test-Time Training. It lets a model update its own weights while running. Not just during training. The trick: repurpose a matrix already inside every MLP block as "fast
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Codex LLM Achieves Human-Speed Computer Use Capabilities
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PURE SORCERY 🤯
— Charly Wargnier (@DataChaz) 17 avril 2026
check out this new codex demo…
first time seeing an LLM use a computer as fast as a person.
SO surreal. makes Claude’s computer use seem like it's in slow-mo.
Video credit: @AriX pic.twitter.com/Dx0596P0ejPURE SORCERY check out this new codex demo… first time seeing an LLM use a computer as fast as a person. SO surreal. makes Claude’s computer use seem like it's in slow-mo. credit: @AriX
