Show HN: A few small games not only for kids (made with my programming language) https://ift.tt/ILhvWqK

Show HN: A few small games not only for kids (made with my programming language) https://ift.tt/SUQFDxI May 25, 2024 at 11:18PM

Show HN: I built obsidian plugin to create notes from BibTeX https://ift.tt/I81q6AK

Show HN: I built obsidian plugin to create notes from BibTeX With this plugin you can create literature notes from BibTeX entries, display formatted reference lists, and instantly generate citations. https://ift.tt/I7VgSwK May 24, 2024 at 01:48AM

Show HN: Split-Test Different Voice AI Providers (Playground) https://ift.tt/ivE5O14

Show HN: Split-Test Different Voice AI Providers (Playground) I'm currently working on a "home for voice AI developers" called Vocalized. Here is a link to the playground where you can split-test different voice AI providers (I'm still working on making it mobile-responsive so try it on desktop!). I want the playground to be an complete documentation of every offering that exists in the space (whether relevant or not) so each can be compared. The intent for the site is to be a lightweight site you can bookmark & come back to to poke around if interested. The site also has a company directory that I'm working on. I wanted to offload my browser bookmarks into a navigable site others interested could read & contribute to. other notes: - when GPT-4o for voice is available I will add it - I'm looking for contributors to the company directory - I'm open to open-sourcing the site if there's interest https://ift.tt/WeaXQB7 May 25, 2024 at 03:59AM

Show HN: ServerlessMaps – Host your own maps in the cloud https://ift.tt/YVobExK

Show HN: ServerlessMaps – Host your own maps in the cloud Have a look at the website with an example map, https://ift.tt/2Hv1hGb , or read the accompanying blog post https://ift.tt/cLMhNFx https://ift.tt/VxcstNC May 24, 2024 at 01:49PM

Show HN: A faster way to switch LLM models https://ift.tt/VsElmSu

Show HN: A faster way to switch LLM models Really excited to release our universal model router for LLM models. We monitor usage across all your LLM models and now make it even easier to switch between them, no more time rebuilding your app when a new model is released. https://twitter.com/getPropsAI/status/1794085232951574529 May 25, 2024 at 01:01AM

Show HN: Spot – Simple, cross-platform, reactive desktop GUI toolkit for Go https://ift.tt/YHgnNra

Show HN: Spot – Simple, cross-platform, reactive desktop GUI toolkit for Go Hi HN, I’m excited to share Spot, a simple, cross-platform, React-like GUI library for Go. It is just a few days old and has lots of missing features but I'm happy with the results so far, and looking for some design feedback. Spot is designed to be easy to use and provide a consistent API across different platforms (mainly Mac & Linux). It’s inspired by React, but written in Go, aiming to combine the best of both worlds: the easy tooling & performance of Go with a modern, reactive approach to UI development. Key features: - Cross-platform: Leveraging FLTK[1] & Cocoa[2], Spot works on Mac, Linux, and the BSDs with plans for native Windows support in the future. - Reactive UI: Adopts a React-like model for building UIs, making it intuitive for those familiar with reactive frameworks. - Traditional, native widget set: Utilizes native widgets where available to provide a more traditional look and feel. Why I built it: I was searching for a cross-platform GUI toolkit for Go that had a more traditional appearance, and none of the existing options quite met my needs. I then started playing with Gocoa and go-fltk and suddenly I worked on an experiment to see how challenging it would be to build something like React in Go, and it kinda evolved into Spot. ¯\_(ツ)_/¯ In 2024, is there a still place for classic desktop GUIs—even with a modern spin? I’d love to hear your thoughts, feedback, and any suggestions for improvement. Also, contributions are very welcome. Thank you for checking it out! [1] https://ift.tt/7Riw3OT [2] https://ift.tt/lihTQr3 https://ift.tt/2nUauTi May 25, 2024 at 12:49AM

Show HN: We open sourced our entire text-to-SQL product https://ift.tt/pXqk9ae

Show HN: We open sourced our entire text-to-SQL product Long story short: We (Dataherald) just open-sourced our entire codebase, including the core engine, the clients that interact with it and the backend application layer for authentication and RBAC. You can now use the full solution to build text-to-SQL into your product. The Problem: modern LLMs write syntactically correct SQL, but they struggle with real-world relational data. This is because real world data and schema is messy, natural language can often be ambiguous and LLMs are not trained on your specific dataset. Solution: The core NL-to-SQL engine in Dataherald is an LLM based agent which uses Chain of Thought (CoT) reasoning and a number of different tools to generate high accuracy SQL from a given user prompt. The engine achieves this by: - Collecting context at configuration from the database and sources such as data dictionaries and unstructured documents which are stored in a data store or a vector DB and injected if relevant - Allowing users to upload sample NL <> SQL pairs (golden SQL) which can be used in few shot prompting or to fine-tune an NL-to-SQL LLM for that specific dataset - Executing the SQL against the DB to get a few sample rows and recover from errors - Using an evaluator to assign a confidence score to the generated SQL The repo includes four services https://ift.tt/Pc5qzdy : 1- Engine: The core service which includes the LLM agent, vector stores and DB connectors. 2- Admin Console: a NextJS front-end for configuring the engine and observability. 3- Enterprise Backend: Wraps the core engine, adding authentication, caching, and APIs for the frontend. 4- Slackbot: Integrate Dataherald directly into your Slack workflow for on-the-fly data exploration. Would love to hear from the community on building natural language interfaces to relational data. Anyone live in production without a human in the loop? Thoughts on how to improve performance without spending weeks on model training? https://ift.tt/74uajsP May 23, 2024 at 09:20PM