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We discuss model selection and promptengineering and optimization later in this post, but it’s worth noting that for the query generation stage, we noticed that Claude Instant was able to produce comparable results, especially when the user question is well phrased and not as sophisticated.
More confirmed sessions include Introduction to Large Lange Models (LLMs) | ODSC Instructor Introduction to Data Course | Sheamus McGovern | CEO and SoftwareArchitect, Data Engineer, and AI expert | ODSC Advanced NLP: Deep Learning and Transfer Learning for Natural Language Processing | Dipanjan (DJ) Sarkar | Lead Data Scientist | Google Developer (..)
Examples of these skills are artificial intelligence (promptengineering, GPT, and PyTorch), cloud (Amazon EC2, AWS Lambda, and Microsoft’s Azure AZ-900 certification), Rust, and MLOps. A higher completion rate could indicate that the course teaches an emerging skill that is required in industry.
This enables Domo to optimize model performance through promptengineering, preprocessing, and postprocessing, and provide contextual information and examples to the AI system. In the following video, Joe Clark, SoftwareArchitect at Domo, shares how AWS has been instrumental for Domo in the generative AI space.
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