Train and deploy your own domain-adapted language model. Covers supervised fine-tuning, LoRA, QLoRA, dataset preparation, training on consumer GPUs, evaluation with benchmarks, and serving with vLLM and HuggingFace Inference Endpoints.
Duration
14 hours
Students
210+
Rating
⭐ 4.7 (16)
After enrolment you will receive access instructions by email within 24 hours. Course materials are delivered via our online learning portal.
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Head of Data
Order Summary
Fine-Tuning Open-Source LLMs
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