In this article, we focus on fine-tuning the DeepSeek-R1-Distill-Qwen-1.5B Reasoning Model to improve its performance on task-specific data using Intel® Data Center GPU Max 1100 GPU.
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- Fine-Tuning DeepSeek-R1-Distill-Qwen-1.5B Reasoning Model on Intel Max Series GPUs
In this article, we focus on fine-tuning the DeepSeek-R1-Distill-Qwen-1.5B Reasoning Model to […]
- Building Efficient Agentic RAG System with SmolAgents and Intel GPU Acceleration
An in-depth look at building lightweight, tool-augmented AI agents using hybrid retrieval and local […]
- Optimizing AI Inputs on the Web: Raidu’s Readability Engine Built with Intel® Liftoff
Raidu built the first LLM Readability Engine. Intel® Liftoff for AI Startups program helped scale […]
- Fine-Tuning DeepSeek-R1-Distill-Qwen-1.5B Reasoning Model on Intel Max Series GPUs
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