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@nothx998877CompSci student & Astronomy, Flight and Gardening https://t.co/SzpqSvaAkv
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Freedom of Speech Isn't the Problem: Limiting data doesn’t fix disinformation; it fuels it. The real solution? More data, more voices, and intelligent debate in real time. X, used right, can be the key to processing info and uncovering truth at scale. (nbcnews.to/3YbUgGJ)
I read the whole AMA with @OpenAI and especially @sama . In this thread I post everything they said about Sora, new models, AGI, o1 and so on. Usually I don’t do threads, but this time: it’s a 🧵
Sam Altman gave an AMA on Reddit. Here are the most important takeaways (I am dead serious): - no GPT-5 this year! But other great releases end of the year - AGI is achievable with this architecture! - new dalle is coming and it will worth the wait - larger context-window…
I want to understand life. This new project is my biggest advance yet 🚨 Announcing: SE(3) Equivariant Transformer Cellular Automata for Morphogenesis
Amazing graphical representation of a neural net, never seen anything like it.
How can you build a good understanding of math for machine learning? Here is a complete roadmap for you. In essence, three fields make this up: • Calculus • Linear algebra • Probability theory Let's take a quick look at them!
Quantum computer outpaces traditional methods in solving complex puzzles using advanced quantum search algorithms.
Fei-Fei Li says there are two key aspects of human intelligence: language and spatial intelligence, and while language is getting a lot of attention, spatial intelligence will have immense implications for AI
The Sun Photographed every day from the Same spot Same Time👇
You can now turn your application into an AI powerhouse in a few hours. If you are a developer who wants to build AI functionality into your application with as little effort as possible, this library is pretty magic, and it's open-source! Star this repository:…
To start with Machine Learning: 1. Learn Python 2. Start practicing using Jupyter There are two main deep learning frameworks that everyone uses: • TensorFlow • PyTorch Don't overthink this. Pick one of them and start practicing with it. I promise you'll end up learning…
Opensource Claude Sonnet 3.5 like artifact to build Python Apps using Streamlit from a single english prompt. You can use GPT-4o, Claude Sonnet 3.5, Llama 3.1, Google Gemini or Mistral Large as the base LLM.
NVIDIA just released free online courses. No payment Required. Here are best courses you don't want to miss in 2024:
Transformers (LLMs) clearly explained with visuals:
Visualization of what a model like ChatGPT does to produce such efficient responses!
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XTravelingtrace
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Zero None.
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