Show HN: Status on DP – Add Status on Profile Picture Like LinkedIn https://ift.tt/dTeL37R

Show HN: Status on DP – Add Status on Profile Picture Like LinkedIn https://ift.tt/TVuUC1a November 30, 2023 at 12:34PM

Show HN: Collider – the platform for local LLM debug and inference at warp speed https://ift.tt/oj3xWlK

Show HN: Collider – the platform for local LLM debug and inference at warp speed ChatGPT turns one today :) What a day to launch the project I'm tinkering with for more than half a year. Welcome new LLM platform suited both for individual research and scaling AI services in production. GitHub: https://ift.tt/zWqTZdK Some superpowers: - Built with performance and scaling in mind thanks Golang and C++ - No more problems with Python dependencies and broken compatibility - Most of modern CPUs are supported: any Intel/AMD x64 platofrms, server and Mac ARM64 - GPUs supported as well: Nvidia CUDA, Apple Metal, OpenCL cards - Split really big models between a number of GPU (warp LLaMA 70B with 2x RTX 3090) - Not bad performance on shy CPU machines, fast as hell inference on monsters with beefy GPUs - Both regular FP16/FP32 models and their quantised versions are supported - 4-bit really rocks! - Popular LLM architectures already there: LLaMA, Starcoder, Baichuan, Mistral, etc... - Special bonus: proprietary Janus Sampling for code generation and non English languages https://ift.tt/zWqTZdK December 1, 2023 at 02:02AM

Show HN: Turn Emoji into Artwork via AI https://ift.tt/QL6bels

Show HN: Turn Emoji into Artwork via AI https://ift.tt/OveDrdx November 30, 2023 at 05:29PM

Show HN: Fanfiction and Smut AI Generator https://ift.tt/hSuLXDi

Show HN: Fanfiction and Smut AI Generator https://altplot.com November 29, 2023 at 11:43PM

Show HN: Dolt Workbench – A modern, browser-based, open source MySQL workbench https://ift.tt/wHJTPRB

Show HN: Dolt Workbench – A modern, browser-based, open source MySQL workbench Why are SQL workbenches stuck in 2002? I work for the company behind Dolt, the first fully versioned SQL database. As a database company, we have often felt the pain of the lack of modern, web-native or browser-based SQL workbench products. We built a cool database UI for our other web products (DoltHub and Hosted Dolt) and we wanted the world to have it. The Dolt Workbench not only works with Dolt, which will unlock version control features, but it also works with any MySQL-compatible database, including MySQL and MariaDB. As far as we can tell, the Dolt Workbench is the only free, open source, browser-based SQL workbench available today. We’re actively developing and would appreciate any feedback! Get started on Docker Hub: https://ift.tt/Lf60O54 Check out the code on GitHub: https://ift.tt/IUWVKxw View announcement blog post for more information: https://ift.tt/QZIYewU https://ift.tt/IUWVKxw November 29, 2023 at 11:37PM

Show HN: Custom GPTs for Developers https://ift.tt/CqSHPuM

Show HN: Custom GPTs for Developers tsDoc Generator Technical TSDoc Generator for TypeScript. https://ift.tt/oRAQwIE PR Assistant I create PR descriptions in Markdown from code, JIRA links, and checklist statuses. https://ift.tt/aGw9kPy https://ift.tt/oRAQwIE November 29, 2023 at 11:06PM

Show HN: Dobb·E – towards home robots with an open-source platform https://ift.tt/ngsreNz

Show HN: Dobb·E – towards home robots with an open-source platform Hi HN! Proud to share our open-source robot platform, Dobb·E, a home robot system that needs just 5 minutes of human teaching to learn new tasks. We've already taken Dobb·E to 10 different homes in New York, taught it 100+ tasks, and we are just getting started! I would love to hear your thoughts about this. Here are some more details, below (or see a Twitter thread with attached media: https://twitter.com/i/status/1729515379892826211 or https://ift.tt/GKIyR04 ): We engineered Dobb·E to maximize efficiency, safety, and user comfort. As a system, it is composed of four parts: a data collection tool, a home dataset, a pretrained vision model, and a policy fine-tuning recipe. We teach our robots with imitation learning, and for data collection, we created the “Stick”, a tool made out of $25 of hardware and an iPhone. Then, using the Stick, we collected a 13 hour dataset in 22 New York homes, called Homes of New York (HoNY). HoNY has 1.5M frames collected over 216 different "environments" which is an order of magnitude larger compared to similar open source datasets. Then we trained a foundational vision model that we can fine-tune fast (15 minutes!) on a new task with only 5 minutes (human time)/ 90 seconds (demo time) of data. So from start to finish, it takes about 20 minutes to teach the robot a new task. Over a month, we visited 10 homes, tried 109 tasks, and got 81% success rate in simple household tasks. We also found a line of challenges, from mirrors to heavy objects, that we must overcome if we are to get a general purpose home robot. We open-sourced our entire system because our primary goal is to get more robotics and AI researchers, engineers, and enthusiasts to go beyond constrained lab environments and start getting into homes! So here is how you can get started: 1. Code and STL files: https://ift.tt/fGCYph4 2. Technical documentation: https://ift.tt/OBw5MPR 3. Paper: https://ift.tt/5YzXafw 4. More videos and the dataset: https://dobb-e.com 5. Robot we used: https://hello-robot.com https://dobb-e.com/ November 29, 2023 at 04:53AM