Technique

Supervised Fine-Tuning

Supervised Fine-Tuning revolves around adjusting machine learning models with labelled examples to make them better at specific jobs. Practitioners learn to apply techniques such as fine-tuning large language models (LLMs) like Claude and Qwen, focusing on their application in tool use and agent behaviours. The videos often provide code examples and explore different world models developed by companies like Meta and Anthropic.

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