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AI & ML interests

*Agentic AI *Code LLMs *Evaluation / SWE-bench **Tool Calling *Secure Code Generation *Mixture-of-Experts (MoE) *Continual Learning *MLOps / CI Integration

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gss1147  updated a collection 20 days ago
WithIn US AI (((GGUF MODELS))
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Within Us AI

Frontier-grade datasets for agentic, reasoning-driven AI software engineering.

Within Us AI builds high-signal open datasets designed to train AI systems that think, build, verify, and operate like real software engineers.

Focus Areas

  • Agentic AI & tool-using workflows
  • Code LLM datasets (tests-as-truth, diff-first patching)
  • Reasoning & evaluation-driven training
  • Secure, governed, auditable AI engineering
  • Cost- and latency-aware autonomous systems

Flagship Work

  • Genesis AI Code
    Demo → 10K → 50K → 100K (Frontier)

Intelligence is not just generated. It is engineered.

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