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Премиум
  • Урок 1. 00:16:48
    01. Lecture 0. Introductions
  • Урок 2. 00:26:19
    02. Lecture 1. Synthetic data, fake it until you make it
  • Урок 3. 00:12:43
    03. Week 1 - 1 Synthetic Questions
  • Урок 4. 00:13:24
    04. Week 1 - 2 Benchmarking Retrieval
  • Урок 5. 00:09:01
    05. Week 1 - 3 Statistical Validation
  • Урок 6. 00:19:36
    06. Introductions
  • Урок 7. 00:47:33
    07. Office Hours MAY 20
  • Урок 8. 00:52:08
    08. Understanding Embedding Performance through Generative Evals [Kelly Hong]
  • Урок 9. 00:51:11
    09. Semantic search over the web with Exa [Will Bryk]
  • Урок 10. 00:54:57
    010. Office Hour MAY 22
  • Урок 11. 00:19:40
    011. Optional Notebook Office Hour MAY 22
  • Урок 12. 00:53:28
    012. Online Evals and Production Monitoring [Ben Hylak & Sidhant Bendre]
  • Урок 13. 00:54:38
    013. Data is Everything Finding needles in multimodal haystacks [Rajan Agarwal & Luke Igel]
  • Урок 14. 00:57:36
    014. Week 2 Office Hour MAY 27
  • Урок 15. 00:38:56
    015. Week 2 Office Hour MAY 29
  • Урок 16. 00:44:08
    016. Optional Notebook Office Hour MAY 29
  • Урок 17. 00:24:15
    017. Lecture 3 Product UX Feedback
  • Урок 18. 00:50:58
    018. Latency First How to Actually Make RAG & Agents Fast [Aarush Sah] JUNE 4
  • Урок 19. 00:51:54
    019. Week 3 RAG Without APIs When Function Calling Talks to Your Browser [Michael Struwig]
  • Урок 20. 00:33:25
    020 Office Hour June 5
  • Урок 21. 00:34:59
    021 Lecture 4 Segmentation - Descript
  • Урок 22. 00:11:57
    022 Week 4 - 1 Generate Dataset - Descript
  • Урок 23. 00:09:33
    023 Week 4 - 2 Topic Modelling - Descript
  • Урок 24. 00:03:02
    024 Week 4 - 3 Classifier - Descript
  • Урок 25. 00:51:10
    025 RAG Anti-patterns in the Wild, and How to Fix Them [Skylar Payne]
  • Урок 26. 00:53:15
    026 Office Hour JUNE 10
  • Урок 27. 00:41:44
    027 Office Hour JUNE 12
  • Урок 28. 00:30:27
    028 Lecture 5 Multimodality - Descript
  • Урок 29. 00:06:48
    029 Week 5 - 1 Generate Dataset - Descript
  • Урок 30. 00:13:33
    030 Week 5 - 2 Metadata Filtering - Descript
  • Урок 31. 00:10:45
    031 Week 5 - 3 Text-2-SQL - Descript
  • Урок 32. 00:10:59
    032 Week 5 - 4 PDF-Parser - Descript
  • Урок 33. 00:07:30
    033 Week 5 - 4 Cohere Embed V4 - Descript
  • Урок 34. 00:52:40
    034 Natural Language Search on Semi-Structured Data [Daniel Svonava]
  • Урок 35. 00:53:13
    035 Better RAG Through Better Data [Adit Abraham]
  • Урок 36. 00:41:10
    036 Office Hour JUNE 17
  • Урок 37. 00:51:58
    037 Office Hour JUNE 19
  • Урок 38. 00:19:06
    038 Lecture 6_ Routing - Descript
  • Урок 39. 00:06:51
    039 Week 6 - 1 _ Evaluate Tools - Descript
  • Урок 40. 00:13:33
    040 Week 6 - 2 _ Generate Dataset - Descript
  • Урок 41. 00:05:46
    041 Week 6 - 3 _ Improving Performance - Descript
  • Урок 42. 00:53:49
    042 RAG in the age of agents. SWE-Bench as a case study. [Colin Flaherty]
  • Урок 43. 00:55:25
    043 How to Build Self-Improving AI via Data-Driven Loops [Hamish Ogilvy]
  • Урок 44. 01:05:31
    044 Conclusions