Dexa/Unsupervised Learning

Fine-Tuning Models

Matt discusses the importance of fine-tuning models for specific use cases, emphasizing the value of tailored models over general-purpose ones. Jordan highlights the flexibility of Fixy in accommodating various models and providers, focusing on privacy and customization for customers.

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From this podcast
Unsupervised Learning
Ep 4: Fixie.ai CEO Matt Welsh on How LLMs Will Change the Way We Work
Related Questions
- Why should a model be fine-tuned?
- What are examples of fine-tuned language models discussed in the episode SE Radio 610: Phillip Carter on Observability for Large Language Models and the clip Fine Tuning Models?