Vips – Emacs Interface for OpenAI's GPT API and DeepL's Translation API
I am excited to share vips.el, an Emacs interface for OpenAI's GPT API and DeepL's translation API. With vips.el, you can work directly with OpenAI's GPT-4 and GPT-3.5-turbo models, customize parameters for fine-tuning the output, and translate text seamlessly using the DeepL API, all within Emacs. The tool is designed to be easy to install and use, with a range of keyboard shortcuts for quick access to its features. It's distributed as free software under the terms of the GNU General Public License. You can find more details, including installation steps and usage instructions, in the…
What it does
In the maker’s words, at launch
I am excited to share vips.el, an Emacs interface for OpenAI's GPT API and DeepL's translation API. With vips.el, you can work directly with OpenAI's GPT-4 and GPT-3.5-turbo models, customize parameters for fine-tuning the output, and translate text seamlessly using the DeepL API, all within Emacs. The tool is designed to be easy to install and use, with a range of keyboard shortcuts for quick access to its features. It's distributed as free software under the terms of the GNU General Public License. You can find more details, including installation steps and usage instructions, in the project's README file. I would love to hear your feedback and suggestions!
Does the same job
all alternatives →More ai this month
the category →
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.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


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…
AI · 26d ago · cactuscompute.com

