#typescript#ai#ai_chatbot#angular#chat#chatbot#chatgpt#cohere#component#files#huggingface#image#nextjs#openai#react#react_chatbot#solid#speech#svelte#vue
Deep Chat is an easy-to-add AI chat tool for your website that connects with popular AI services like ChatGPT and HuggingFace or your own custom APIs using just one line of code. It supports text, voice input, speech-to-text, text-to-speech, file sharing, webcam photos, and audio recording, making conversations more interactive. You can customize everything from avatars to message styles and run small AI models directly in the browser without servers. It works with major web frameworks and offers features like local message storage and focus mode for a modern chat experience. This helps you quickly add a powerful, flexible AI chatbot that fits your needs and improves user engagement.
https://github.com/OvidijusParsiunas/deep-chat
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What’s Really Going On in Machine Learning? Some Minimal Models—Stephen Wolfram Writings
https://writings.stephenwolfram.com/2024/08/whats-really-going-on-in-machine-learning-some-minimal-models/
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Meta's second version of segment anything.
https://github.com/facebookresearch/segment-anything-2
They have a nice demo:
https://sam2.metademolab.com/
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I was searching for a tool to visualize computational graphs and ran into this preprint. The hierarchical visualization idea is quite nice.
https://arxiv.org/abs/2212.10774
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Like a dictionary
Kunc, Vladim’ir, and Jivr’i Kl’ema. 2024. “Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks.” arXiv [Cs.LG], February. http://arxiv.org/abs/2402.09092.
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I got interested in satellite data last year and played with it a bit. It's fantastic. The spatiotemporal nature of it brings up a lot of interesting questions.
Then I saw this paper today:
Rolf, Esther, Konstantin Klemmer, Caleb Robinson, and Hannah Kerner. 2024. “Mission Critical -- Satellite Data Is a Distinct Modality in Machine Learning.” arXiv [Cs.LG], February. http://arxiv.org/abs/2402.01444.
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Jelassi S, Brandfonbrener D, Kakade SM, Malach E. Repeat after me: Transformers are better than state space models at copying. arXiv [cs.LG]. 2024. Available: http://arxiv.org/abs/2402.01032
Not surprising at all when you have direct access to a long context. But hey, look at this title.