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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 *Recursive Seed AI

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GODsStrongestSoldier  updated a collection about 9 hours ago
“WithIn Us AI” (Recursive Models)
GODsStrongestSoldier  updated a collection about 12 hours ago
“WithIn Us AI” (Recursive Models)
GODsStrongestSoldier  updated a collection 2 days ago
“WithIn Us AI” (Recursive Models)
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WithinUsAI 's collections 28

“DistilGPT2“
All Models are "Distilgpt2" at core, fine-tuned with distilled datasets to create minute flash coders. (Experiential & Rough Drafts)
“Open Source LLMs & Distill” (Data-Sets)
Use these data-sets to create “distilled ”versions of your Favorite OPEN source model LLMs.
“Inventor & Scientist Mastermind“ (Data-Sets)
scientific and invention-focused datasets designed to train AI systems in discovery-driven reasoning, experimentation logic, and innovation modeling
“Digital Audio Workstations & Plugins” (Data-Sets)
datasets designed to train AI systems in Digital Audio Workstation (DAW) workflows, audio plugin behavior, and music production systems reasoning.
“Closed Source LLMs & Distill” (Data-Sets)
Use these data-sets to create “distilled ”versions of your Favorite closed source model LLMs. (eg. Grok, Gemini, ChatGPT, Claude)
“GOD Coder” (Data-Sets)
A frontier-scale collection of high-density software engineering datasets designed to train AI systems into production-grade coding intelligence.
“Ancient Civilization” (Data-Sets)
A structured collection of high-signal datasets designed to train AI systems in ancient history, archaeology, and early human civilization reasoning
“WithIn Us AI” (Recursive Models)
Recursive Language Models designed By (WithIn Us AI) at core. The RLM’s are in total 11. All are ready base models for pre-training
“DistilGPT2“
All Models are "Distilgpt2" at core, fine-tuned with distilled datasets to create minute flash coders. (Experiential & Rough Drafts)
“Closed Source LLMs & Distill” (Data-Sets)
Use these data-sets to create “distilled ”versions of your Favorite closed source model LLMs. (eg. Grok, Gemini, ChatGPT, Claude)
“Open Source LLMs & Distill” (Data-Sets)
Use these data-sets to create “distilled ”versions of your Favorite OPEN source model LLMs.
“GOD Coder” (Data-Sets)
A frontier-scale collection of high-density software engineering datasets designed to train AI systems into production-grade coding intelligence.
“Inventor & Scientist Mastermind“ (Data-Sets)
scientific and invention-focused datasets designed to train AI systems in discovery-driven reasoning, experimentation logic, and innovation modeling
“Ancient Civilization” (Data-Sets)
A structured collection of high-signal datasets designed to train AI systems in ancient history, archaeology, and early human civilization reasoning
“Digital Audio Workstations & Plugins” (Data-Sets)
datasets designed to train AI systems in Digital Audio Workstation (DAW) workflows, audio plugin behavior, and music production systems reasoning.
“WithIn Us AI” (Recursive Models)
Recursive Language Models designed By (WithIn Us AI) at core. The RLM’s are in total 11. All are ready base models for pre-training