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Showing posts older than #147 · Back to latest

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Post #145 364
这几天在学习 langchain 这个工具链,有点像为 llm 开发的 pandas,将上下游各种工具都打通。

听说他们刚刚还融资成功,准备开始产品化。非常快的速度,一切都发生在短短几个月的时间内。

https://github.com/hwchase17/langchain

#open #ml
GitHub GitHub - langchain-ai/langchain: The agent engineering platform. The agent engineering platform. Contribute to langchain-ai/langchain development by creating an account on GitHub.
Post #144 369
DPS Build 记录了一下最近使用 Carrd 连接自定义 API 的经历。 Carrd 是由 AJ 一个人创建的建站服务,2016年发布之后,两年就达到了一百万美金的 ARR。 Carrd 非常容易上手,这次我们尝试使用一个 custom form 的功能,遇到了一些困难。中间遇到了一些困难。开了 ticket 之后,AJ 一直跟进,工作日基本上一小时内就有回复,休息日也会在24小时内回复。非常佩服他的响应速度! https://letters.acacess.com/carrd-with-apis/
昨天在 Twitter 上总结了这篇文章的要点,并且 @ 了 AJ 表示感谢。没想到 AJ 顺手转发了这条 tweet,一天下来有3000多浏览

https://twitter.com/eiflesrd/status/1643158781952417794
Post #143 383
记录了一下最近使用 Carrd 连接自定义 API 的经历。

Carrd 是由 AJ 一个人创建的建站服务,2016年发布之后,两年就达到了一百万美金的 ARR。

Carrd 非常容易上手,这次我们尝试使用一个 custom form 的功能,遇到了一些困难。中间遇到了一些困难。开了 ticket 之后,AJ 一直跟进,工作日基本上一小时内就有回复,休息日也会在24小时内回复。非常佩服他的响应速度!

https://letters.acacess.com/carrd-with-apis/
DPS - Daily Productivity Sharing Connecting Carrd to Customized APIs Carrd is an elegant and concise web page building tool, which is great for making a one-page site. Amazing, it is built by only ONE person – AJ. DONE! Carrd = a free platform for building simple, fully responsive one-page sites for pretty much anything…
  • ❤ 1
Post #142 400
DPS Build Apple 官方发布的 stable diffusion on Core ML wrapper,生成速度堪比 3080 https://github.com/apple/ml-stable-diffusion
一个开源的 diffusion app,利用了 Core ML,可以使用 Homebrew 安装


https://github.com/godly-devotion/MochiDiffusion

模型需单独下载,如果想利用 neural engine 的话,请下载 split_einsum 版本的模型

https://huggingface.co/coreml
GitHub GitHub - MochiDiffusion/MochiDiffusion: Run Stable Diffusion on Mac natively Run Stable Diffusion on Mac natively. Contribute to MochiDiffusion/MochiDiffusion development by creating an account on GitHub.
Post #140 430
Post #133 382
Post #132 381
Guardrails is a Python package that lets a user add structure, type and quality guarantees to the outputs of large language models (LLMs)

At the heart of Guardrails is the rail spec. rail is intended to be a language-agnostic, human-readable format for specifying structure and type information, validators and corrective actions over LLM outputs.

https://github.com/ShreyaR/guardrails
GitHub GitHub - guardrails-ai/guardrails: Adding guardrails to large language models. Adding guardrails to large language models. Contribute to guardrails-ai/guardrails development by creating an account on GitHub.
Post #131 370
Post #127 420
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