Retrieval Augmented Generation - Techniques and Applications

Retrieval Augmented Generation - Techniques and Applications

MLOps.community via YouTube Direct link

[] ML Engineers are now all AI Engineers

18 of 20

18 of 20

[] ML Engineers are now all AI Engineers

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Retrieval Augmented Generation - Techniques and Applications

Automatically move to the next video in the Classroom when playback concludes

  1. 1 [] Syed's preferred coffee
  2. 2 [] Takeaways
  3. 3 [] Please like, share, leave a review, and subscribe to our MLOps channels!
  4. 4 [] A production issue
  5. 5 [] CSV file handling risks
  6. 6 [] Embedding models not suitable
  7. 7 [] Inference layer experiments and use cases
  8. 8 [] AWS service handling the issue
  9. 9 [] Salad testing and insights
  10. 10 [] OpenAI vs Customization
  11. 11 [] Difference between Olama and VLLM
  12. 12 [] Fine-tuning of small LLMs
  13. 13 [] Evaluation framework
  14. 14 [] MLOps for efficient ML
  15. 15 [] Determining the pricing of tools
  16. 16 [] Manage Dependency Risk
  17. 17 [] Get in touch with Syed on LinkedIn
  18. 18 [] ML Engineers are now all AI Engineers
  19. 19 [] The hard framework
  20. 20 [] Wrap up

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.