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Enabling LLM-Powered Applications with Harrison Chase of LangChain
Gradient Dissent: Conversations on AI
The Parallels and Differences Between ML Engineering and Prompt Engineering
The Vega team is working on an integration with weights and biases to help train machine learning models from scratch. It's a new type of training called prompt engineering, which involves adding shot examples or stuff like that. The biggest difference for us is that more people can do prompt engineering more easily than ML engineering. We're really used to putting all kinds of charts and graphs; our users want more exotic stuff. But we are super excited about that integration.
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