Building AI Projects(3)

Building AI Projects(3)

1. Working with an AI team Specify your acceptance criteria 95%의 정확도를 어떻게 측정할 것인가? 이전에는 AI팀의 퍼포먼스를 측정하기 위해 제공되는 데이터셋을 test set이라고 했다. 이는 통계적으로 확..

Building AI Projects(3) 글에 대한 티스토리 블로그 포스트 내용이 없거나, 요약내용이 적습니다.

아래에 원문링크를 통해 Building AI Projects(3) 글에 대한 상세내용을 확인해주시기 바랍니다.

원문링크 : Building AI Projects(3)

 등록된 다른 글

<LLM> Code Llama: Open Foundation Models for Code

<LLM> Code Llama: Open Foundation Models for Code

<LK Lab, Retrieval> [RoSPr] Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt (2023.10)

<LK Lab, Retrieval> [RoSPr] Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt (2023.10)

[BOJ] 9019 : DSLR [DFS/BFS](Python)

[BOJ] 9019 : DSLR [DFS/BFS](Python)

Intersection Over Union, Non-max Suppression

Intersection Over Union, Non-max Suppression

[BOJ] 1717 : 집합의 표현 [유니온파인드](Python)

[BOJ] 1717 : 집합의 표현 [유니온파인드](Python)

[Short Paper Review] LIMA: Less Is More for Alignment

[Short Paper Review] LIMA: Less Is More for Alignment

<Attention> LongNet: Scaling Transformers to 1,000,000,000 Tokens

<Attention> LongNet: Scaling Transformers to 1,000,000,000 Tokens

Analysis of Algorithms(4) : Order-of-Growth Classifications

Analysis of Algorithms(4) : Order-of-Growth Classifications