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Introducing “Finetuning Large Language Models,” a short and practical course designed to elevate your proficiency using LLMs for your own applications.
Learn how finetuning seamlessly integrates into the training process, the distinctions between finetuning and other methods like prompt engineering and Retrieval Augmented Generation (RAG), and why finetuning is an important leap in capability over many other methods.
By the end of the course, you will:
– Recognize the best use cases for finetuning LLMs
– Choose suitable open source models unique to your application
– Get your data ready for finetuning
– Train and evaluate an LLM on your data
This is an intermediate program for developers eager to learn the techniques and applications of finetuning and have basic Python and PyTorch knowledge.
Learn more: https://bit.ly/3OOFL6O
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