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KONASH: Train knowledge agents that search, retrieve, and reason. Based on KARL (Databricks, 2026).
A Lightweight, Configuration-Driven, Flexible Fine-Tuning Framework for 🤗 Diffusers
[WSDM 2026] LookAhead Tuning: Safer Language Models via Partial Answer Previews
Making MoE fine-tuning accessible to anyone with consumer hardware.
weighted category-balanced dataset builder for LLM fine-tuning
fine-tuning of the Segment-Anything model by MetaAI
Finetuned Deepseek 8b model for finance reasoning
Enterprise-grade LLMOps platform to accelerate the development and deployment of generative AI applications.
A theme 🎨 for IntelliJ IDEs based on the KDE Breeze Theme. Includes light ☀️ and dark 🌒 variants.
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