별 생각없이 제목이 마음에 들어서 샀는데 내용도 괜찮아보이네. 요즘 잘 팔리는 코딩테스트 연습서적이 아니라 대학교재 스타일. 챕터1 제목은 “문자열학의 기초”. 각잡고 오래 읽어야겠다.
⚡ LangSmith Evaluations: RAG Evaluation (Answer Correctness) ⚡ Evaluations can accelerate LLM app development, but it can be challenging to get started. We've kicked off a new video series focused on evaluations in LangSmith. This is the 12th video in our series, focusing on…
Structured outputs for LLM-powered ETL, RAG, and agent pipelines! You can now use @llama_index for structured extraction with any LLM setup, with full support for async and streaming. Here's what you need: 1. Define a Pydantic object. 2. Attach it to your LLM using…
여러분 msword에 이런 기능있는거 알고 트위터해요?? 비디오 틀어놓고 받아쓰기 누르면 얘가 자동으로 영상 음성을 받아쓰기 해준다??? 비디오 받아가지고 자막 작업해야되는데 스크립트 없어서 내가 들으면서 동시통역 ㅋㅋㅋㅋ 할랬는데 누가 알려줬어요 넘나 편하고 생각보다 정확함!!
United States 趨勢
- 1. Austin Reaves 55.2K posts
- 2. #LakeShow 3,286 posts
- 3. Trey Yesavage 39K posts
- 4. Jake LaRavia 6,630 posts
- 5. #LoveIsBlind 4,681 posts
- 6. Jeremy Lin N/A
- 7. Rudy 9,507 posts
- 8. jungwoo 114K posts
- 9. jungkook 553K posts
- 10. doyoung 85.1K posts
- 11. #Lakers 1,209 posts
- 12. Blue Jays 63K posts
- 13. Happy Birthday Kat N/A
- 14. #AEWDynamite 23.5K posts
- 15. Kacie 1,918 posts
- 16. Pelicans 4,590 posts
- 17. #SellingSunset 3,880 posts
- 18. Devin Booker 1,336 posts
- 19. Kenny Smith N/A
- 20. Dodgers in 7 1,670 posts
Something went wrong.
Something went wrong.