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I built the first version of DeepFork to understand micrograd โ Andrej Karpathy's 100-line autograd engine. Most people read micrograd for the aha moment. DeepFork turns that moment into an artifact. - Source: dev.to / 2 months ago
Karpathy built a small project called micrograd. You can see the code here. This is made up of just a few simple lines of code, but it shows us how neural networks are built under the hood. In the video, he demonstrated how to build Micrograd and how it works step by step. - Source: dev.to / 3 months ago
It can happen like this: - write sleek operator-overloading-based code for simple mathematical operations on your custom pet algebra - decide that you want to turn it into an autograd library [0] - realise that you now need either `RefCell` for interior mutability, or arenas to save the computation graph and local gradients - realise that `RefCell` puts borrow checks on the runtime path and can panic if you get... - Source: Hacker News / 4 months ago
Good introduction! Building pytorch-lite using python and numpy is the way to go. Free book: https://zekcrates.quarto.pub/deep-learning-library/ Ml by hand : https://github.com/workofart/ml-by-hand Micrograd: https://github.com/karpathy/micrograd. - Source: Hacker News / 6 months ago
Let me be completely honest: I didn't invent anything here. This is Andrej Karpathy's brilliant micrograd ported to C++, nothing more, nothing less. But sometimes the best way to really understand something is to rebuild it in a different language, and that's exactly what I needed. - Source: dev.to / 11 months ago
For context, I have access to MS Copilot through my workplace. To see what it looks like, I have tried to login through https://copilot.microsoft.com/ , where I was informed that my account, although recognised, is not yet supported. However, I can get more or less the same chat window through https://m365.cloud.microsoft/ Who makes this stuff. - Source: Hacker News / about 1 month ago
Maybe this one? https://copilot.microsoft.com/. - Source: Hacker News / 5 months ago
Microsoft's Copilot handles Office 365 well but does not control the OS. Google's Gemini experiments with Android device control but has no desktop equivalent. Apple Intelligence integrates deeply with macOS but does not connect to developer tools. Anthropic is the first to ship a developer-and-productivity agent that operates at the OS level with a phone-based remote control. - Source: dev.to / 5 months ago
Microsoft Copilot (free) โ The consumer-facing AI assistant at copilot.microsoft.com. Powered by GPT-4o. Available to anyone with a Microsoft account. This is what this review is mostly about. - Source: dev.to / 5 months ago
First websites, then VPN's, and then keywords ... WAIT! SCRATCH THAT! https://en.wikipedia.org/wiki/PRISM https://en.wikipedia.org/wiki/XKeyscore Why not just build spyware into every computer? WAIT! SCRATCH THAT! https://copilot.microsoft.com/ So here's the solution. AGO: Artificial General Orgasmatron. Be working on it. Since it's hardware, parents can restrict access at the source. Age verification built-in?... - Source: Hacker News / 9 months ago
tinygrad - This may not be the best deep learning framework, but it is a deep learning framework.
ChatGPT - ChatGPT is a powerful, open-source language model.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Claude AI - Claude is a next generation AI assistant built for work and trained to be safe, accurate, and secure. An AI assistant from Anthropic.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Gemini - Gemini, formerly known as Bard, is a generative artificial intelligence chatbot developed by Google. Based on the large language model (LLM) of the same name, it was launched in 2023 in response to the rise of OpenAI's ChatGPT.