Show HN: Phind.com – Generative AI search engine for developers Hi HN, Today we're launching phind.com, a developer-focused search engine that uses generative AI to browse the web and answer technical questions, complete with code examples and detailed explanations. It's version 1.0 of what was previously known as Hello (beta.sayhello.so) and has been completely reworked to be more accurate and reliable. Because it's connected to the internet, Phind is always up-to-date and has access to docs, issues, and bugs that ChatGPT hasn't seen. Like ChatGPT, you can ask followup questions. Phind is smart enough to perform a new search and join it with the existing conversation context. We're merging the best of ChatGPT with the best of Google. You're probably wondering how it's different from the new Bing. For one, we don't dumb down a user's query the way that the new Bing does. We feed your question into the model exactly as it was asked, and are laser-focused on providing developers the most detailed and comprehensive explanations to code-related questions. Secondly, we've focused the model on providing answers instead of chatbot small talk. This is one of the major improvements we've made since exiting beta. Phind has the creative abilities to generate code, write essays, and even compose some poems/raps but isn't interested in having a conversation for conversation's sake. It should refuse to state its own opinion and rather provide a comprehensive summary of what it found online. When it isn't sure, it's designed to say so. It's not perfect yet, and misinterprets answers ~5% of the time. An example of Phind's adversarial question answering ability is https://ift.tt/bfqZRt3... . ChatGPT became useful by learning to generate answers it thinks humans will find helpful, via a technique called Reinforcement Learning from Human Feedback (RLHF). In RLHF, a model generates multiple candidate answers for a given question and a human rates which one is better. The comparison data is then fed back into the model through an algorithm such as PPO. To improve answer quality, we're deploying RLAIF — an improvement over RLHF where the AI itself generates comparison data instead of humans. Generative LLMs have already reached the point where they can review the quality of their own answers as good or better than an average human rater tasked with annotating data for RLHF. We still have a long way to go, but Phind is state-of-the-art at answering complex technical questions and writing intricate guides all while citing its sources. We'd love to hear your feedback. Examples: https://ift.tt/F8MUsmS... https://ift.tt/QmRuCvW... https://ift.tt/JutBFb3 https://ift.tt/nrqig1s... https://ift.tt/d124xPF... Discord: https://ift.tt/t0MYBeS https://phind.com February 21, 2023 at 11:56PM
Show HN: Tape It, iOS recording app for musicians Hello HN, Over the last 15 months, two friends and I developed the music recording app we felt we wanted based on our own needs as musicians. It's called Tape It [1] and has just recently hit the Apple App Store [2]. We put a lot of effort into a good UX to help musicians really focus on playing their instrument instead of pretending to be a recording engineer. The app records in stereo on newer iPhones (although that's a premium feature; the free version only records in standard mono audio quality). I would be really grateful for advice from this community on how to best approach marketing. We had a great TechCrunch article covering our launch [3], and we posted it on various music websites. Turns out advertising on Google or Apple Search is a dark art, though. We have some good ideas for developing a good social media presence, but they will take time. Please hit us with feedback, opinions and advice that you think a young ind...
Comments