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Creating instruction tuned models (Practical AI #223) episode artwork

May 16, 2023 26 min

Creating instruction tuned models (Practical AI #223)

from Changelog Master Feed

At the recent ODSC East conference, Daniel got a chance to sit down with Erin Mikail Staples to discuss the process of gathering human feedback and creating an instruction tuned Large Language Models (LLM). They also chatted about the importance of open data and practical tooling for data annotation and fine-tuning. Do you want to create your own custom generative AI models? This is the episode for you!

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Creating instruction tuned models (Practical AI #223)

0:00 26:33

Chapters

  1. 0:00 Welcome to Practical AI
  2. 0:43 Erin Mikail Staples
  3. 2:09 Open source attendees
  4. 3:54 The key to RLHF
  5. 5:35 Tooling for RLHF
  6. 7:33 Humanities in data science
  7. 11:22 Label Studio's workflow
  8. 15:41 The open data ecosystem
  9. 21:04 Do data labeling
  10. 22:33 Exciting changes coming
  11. 24:15 DevRel(ish) and other resources
  12. 25:13 Goodbyes
  13. 25:45 Outro

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This episode was published on May 16, 2023.

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