Tangerine Index는 ChatGPT 이후 나온 프로덕트와 사람들의 반응을 싣습니다.
제작자가 쓴 설명
I built ej for a narrower problem than general classification: given some state and a set of decision questions whose options can be defined at runtime, return a probability distribution for each question in one pass.
반응 (1)
비슷한 프로덕트
설명이 비슷한 순
AnyJev
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
- Hacker News
- 반응 없음
- GitHub
- 스타 1,593
OpenDecision
a 400M zero-shot model makes local decisions, plays Doom
- Hacker News
- 6점
- GitHub
- 반응 없음
laya-mlx
Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.
- Hacker News
- 반응 없음
- GitHub
- 스타 7,074
laya-coreml
Local Laya typed decisions on Apple Core ML and Neural Engine. Validated ports, ~5 ms short decisions on M3 Max, reproducible speed and energy benchmarks.
- Hacker News
- 반응 없음
- GitHub
- 스타 1,631
Large-Language-Model-Notebooks-Course
Practical course about Large Language Models.
- Hacker News
- 반응 없음
- GitHub
- 스타 1,828
