Recipients of the Uplimit's Fine-tuning Large Language Models certificate gained learned and built skills in fine-tuning Large Language Models (LLMs), including researching and deploying LLM projects. They mastered refining encoder models for text comprehension tasks and implementing Hugging Face deployment. Additionally, they gained expertise in optimizing decoders for text generation, exploring advanced techniques such as LoRA and QLoRA.

Certification criteria:

Actively participated in Uplimit’s dynamic course on Fine-Tuning Large Language Models: attended lectures, project kickoff sessions, and applied concepts learned to real world projects.

Learners mastered the fundamentals of fine-tuning, encoder and decoder models, their pre-training, benefits, and factors affecting GPU utilization for financial text classification and personal assistant development projects.

November 6, 2023 Instructor: Santi Adavani

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Learners in the course built a fine-tuned BERT base encoder model for financial text classification and a GPT base decoder model for a personal assistant using various techniques and data preparation.