Practical AI avatar

Dexa/Practical AI

Learn more

Generative AI Evolution

The discussion highlights the shift towards generative AI, where large models trained on vast datasets can now be effectively prompted without extensive fine-tuning. Emphasis is placed on the importance of creating optimized prompts and the role of domain experts in refining these instructions. As users become consumers rather than trainers of AI models, the focus shifts to evaluating workflows and enhancing model interactions at the inference level.
  • In this clip

  • From this podcast

    Practical AI avatar

    Practical AI

    AI is more than GenAI

  • Related Questions

    • How are large language models (LLMs) trained as discussed in the episode Data, data, everywhere - enough for AGI? and the clip AI Data Explosion, specifically in the context of the episode Synthetic Data with Alex Watson, Founder of Gretel AI, and the clip AI Revolutionizes Tabular Data?

    • Is there anyone taking a different approach to prompt engineering for large language models that makes the process more accessible to a wider audience, as discussed in the episode Holistic Evaluation of Generative AI Systems // Jineet Doshi // #280 and the clip LLMs as Jury, as well as in the episode Collaboration & evaluation for LLM apps and the clip Fine Tuning Insights?

    • How are generative AI use cases evolving for code and developer productivity in the episode Treating Prompt Engineering More Like Code // Maxime Beauchemin // MLOps Podcast #167 and the clip Taming Generalized AI?

Built by
Charlie AI
© 2024 Practical AITermsPrivacySupport