所有的 benchmark 都告诉你了， GPT-5 基本上就是 Top 1 的水平。 而且，这次 GPT-5 降低了幻觉，使得可用性极大提升。 例如我让 GPT-5 关于某个知识点搜 100 个网站，它就真搜了 204 个网站，然后写了篇 5k 长度的文章。

GPT Image 2 Skill / CLI / Web / Desktop. Contribute to Wangnov/gpt-image-2-skill development by creating an account on GitHub.

gpt-engineer installs the binary 'bench', which gives you a simple interface for benchmarking your own agent implementations against popular public datasets. The easiest way to get started with benchmarking is by checking out the template repo, which contains detailed instructions and an agent template.

前几天为了GPT-6冲了$200额度，发现这个额度是真的爽，尤其是加上现有的几次重置机会，只要不开Ultra可以24小时使劲蹬。 之前我一直是我白天上班，晚上回家开发独立游戏。 但通常上完班就很累了，晚上到家可能先躺在床上睡一会。 然后昨天我回到家，真的很累，躺在床上眼睛都睁不开了。 就在 ...

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microgpt Raw microgpt.py """ The most atomic way to train and run inference for a GPT in pure, dependency-free Python. This file is the complete algorithm. Everything else is just efficiency. @karpathy """ import os # os.path.exists import math # math.log, math.exp import random # random.seed, random.choices, random.gauss, random.shuffle

Supported AI models in Auto model selection This table lists the supported AI models for Auto model selection. Available models may be limited by model policies. For example, as the long term support model, GPT-5.3-Codex will be used in the event no other models are available. See Base and long-term support (LTS) models and About GitHub Copilot auto model selection.

See per-token pricing for the models available in GitHub Copilot and reference rates for additional usage across plans.

DB-GPT：开源 Agentic AI 数据分析智能助手 文档 | 联系团队 | 社区 | Paper 一个开源的 AI 数据分析智能助手：连接你的数据，自主编写 SQL 与代码，在沙箱环境中运行 skills，把分析转化为报告、洞察与行动。

1 min voice data can also be used to train a good TTS model! (few shot voice cloning) - GPT-SoVITS/README.md at main · RVC-Boss/GPT-SoVITS