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Based on our record, Jupyter should be more popular than The Algorithm. It has been mentiond 216 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / about 2 months ago
LangChain wasn’t designed in isolation — it was built in the data pipeline world, where every data engineer’s tool of choice was Jupyter Notebooks. Jupyter was an innovative tool, making pipeline programming easy to experiment with, iterate on, and debug. It was a perfect fit for machine learning workflows, where you preprocess data, train models, analyze outputs, and fine-tune parameters — all in a structured,... - Source: dev.to / 3 months ago
Leverage versatile resources to prototype and refine your ideas, such as Jupyter Notebooks for rapid iterations, Google Colabs for cloud-based experimentation, OpenAI’s API Playground for testing and fine-tuning prompts, and Anthropic's Prompt Engineering Library for inspiration and guidance on advanced prompting techniques. For frontend experimentation, tools like v0 are invaluable, providing a seamless way to... - Source: dev.to / 4 months ago
Lately I've been working on Langgraph4J which is a Java implementation of the more famous Langgraph.js which is a Javascript library used to create agent and multi-agent workflows by Langchain. Interesting note is that [Langchain.js] uses Javascript Jupyter notebooks powered by a DENO Jupiter Kernel to implement and document How-Tos. So, I faced a dilemma on how to use (or possibly simulate) the same approach in... - Source: dev.to / 8 months ago
One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make... - Source: dev.to / 11 months ago
Just like they are "publishing" their algorithm? https://github.com/twitter/the-algorithm hasn't been updated for two years. - Source: Hacker News / 1 day ago
The open-sourcing of the X's feed algorithm is a typical Musk's smokescreen. First, while the code was open sourced, the configs and data that determines its behavior wasn't. Any researcher that has some knowledge of the matter will tell you this. Second, that code was last updated in July 2023 [1]. News feed algorithms are updated regularly, especially around the time of US elections [2]. [1] - Source: Hacker News / 6 months ago
Sure it's open source but that doesn't mean the public repo is in any way up to date. Especially given that the repos only have a handful of commits from the few months after the repos were published and they haven't been updated in well over a year. https://github.com/twitter/the-algorithm. - Source: Hacker News / 6 months ago
> Wasn’t the tweet recommendation system “open sourced” as well? Does this guy know the difference between open source and “open source”? What do you mean? There exists only one binding definition of open source > https://opensource.org/osd and either some product does satisfy it, or it doesn't. As far as I am aware > https://github.com/twitter/the-algorithm... - Source: Hacker News / about 1 year ago
Yes, and it's here: https://github.com/twitter/the-algorithm If e.g. Amazon open sources some part of its software infrastructure should they also open source the data it uses or their configuration files? - Source: Hacker News / about 1 year ago
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