Integration of ChatGPT+Stable Diffusion+Eleven Labs APIs and Hosting
Hello so I finally released the new version of aidev.codes. It is extremely alpha, has not been thoroughly tested at this point. Its quite different from the previous version. The new aidev.codes: - is buggy but actually works (compared to the old version) - has a ChatGPT-style interface (and uses the chatgpt-turbo model which is actually better than the other models for code) - integrates the stability.ai API to automatically generate images - can create a simple but fully customized and interactive web page and instantly host it for you - can optionally host your page on a custom subdomain…
What it does
In the maker’s words, at launch
Hello so I finally released the new version of aidev.codes. It is extremely alpha, has not been thoroughly tested at this point. Its quite different from the previous version. The new aidev.codes: - is buggy but actually works (compared to the old version) - has a ChatGPT-style interface (and uses the chatgpt-turbo model which is actually better than the other models for code) - integrates the stability.ai API to automatically generate images - can create a simple but fully customized and interactive web page and instantly host it for you - can optionally host your page on a custom subdomain - also can use Eleven Labs for text-to-speech although the latency can be problematic sometimes currently, and this will use up your credits much faster. - if you have Chrome there is also a speech-to-text option - has only been tested by myself and maybe 3 users so far
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, March 2023
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I'm a big fan of the BBC podcast In Our Time -- and (like most people) I've been playing with the OpenAI APIs. In Our Time has almost 1,000 episodes on everything from Cleopatra to the evolution of teeth to plasma physics, all still available, so it's my starting point to learn about most topics. But it's not well organised. So here are the episodes sorted by library code. It's fun to explore. Web scraping is usually pretty tedious, but I found that I could send the minimised HTML to GPT-3 and get (almost) perfect JSON back: the prompt includes the Typescript definition. At the same time I…
AI · 2023 · genmon.github.io