Training AI Models Beyond Large Language Models
The basics takeaways of this video are:
  • Evaluate large language models (LLMs) for your specific use case, particularly for exploratory purposes.
  • If it doesn't meet your needs, consider writing plain old code as much as possible.
  • When you encounter bottlenecks, explore specialized models. You can train these by generating your own dataset and using products like Vertex AI, among others.
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Jossue Flores
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Training AI Models Beyond Large Language Models
Data Alchemy
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