Show HN: Turn your kid's drawing into a hardcover storybook (using GPT vision) https://ift.tt/CfsHaNF

Show HN: Turn your kid's drawing into a hardcover storybook (using GPT vision) Here's a video demo if you're just curious to see it in action: https://ift.tt/1S0MLJt Feedback welcome. https://ift.tt/9jkrtJK November 18, 2023 at 01:36AM

Show HN: Challenge Your AI Agents/custom GPTs – Can They Survive My Tester? https://ift.tt/ASsI0T6

Show HN: Challenge Your AI Agents/custom GPTs – Can They Survive My Tester? I've pivoted to create AI Agent Tester, a SaaS platform dedicated to testing and validating AI agents from OpenAI, Character.ai, and FlowGPT.com. The platform offers: - Hassle-Free Setup: Get your first simulation up and running in just 5 minutes. - Realistic Simulations: Rigorous user interaction tests to prep your AI agent for real-world scenarios. - Intelligent Scoring: Each response is meticulously evaluated, scoring from 0 to 100(GPT-4 smart enough to evaluate it for you). - Broad Platform Support: Initially rolling out with OpenAI, Character.ai, and FlowGPT.com compatibility. The link: https://ift.tt/DqIMt6J Eager to hear your thoughts and discuss improvements! https://ift.tt/DqIMt6J November 17, 2023 at 07:46PM

Show HN: I made a really silly personal landing page https://ift.tt/pHReUcV

Show HN: I made a really silly personal landing page Also, yes I am looking for a new role. And yes, I should have been spending my time looking for suitable roles instead of building this. https://ift.tt/qg2Se0V November 17, 2023 at 02:36AM

Show HN: Tiny LLMs – Browser-based private AI models for a wide array of tasks https://ift.tt/CGVa2xI

Show HN: Tiny LLMs – Browser-based private AI models for a wide array of tasks https://ift.tt/WPdKBE1 November 17, 2023 at 02:13AM

Show HN: Version code, models, & datasets together in GitHub https://ift.tt/3Wcp48H

Show HN: Version code, models, & datasets together in GitHub Hi HN! We just launched a GitHub integration that scales your Git repos to handle 100 terabytes of files in a single repo. XetData enables data scientists and machine learning engineers to version code, models, and datasets together. Most teams have glued together clunky workflows using S3, DVC, Git, Git LFS, and other tools and make true reproducibility difficult: https://ift.tt/NmsfrUx We instead embrace and extend Git so end-users don’t need to learn a new tool and a new set of commands. Our implementation is similar to Git LFS, where we take over the .gitattributes file, push pointers to large files in GitHub, and push the raw, large files to us. We have a few distinct features that we’re proud of that improve the user experience: - Our XetData bot comments on your pull requests to provide links to useful dataset views and model diffs. We’re working on rendering these inside GitHub itself using browser extensions. - Git LFS and similar tools only implement file-level deduplication. We created a new technique called block-based deduplication (published in CIDR’23 conference) specifically for data and ML workflows. The ML lifecycle consists of making lots of iterative changes and our technique helps save storage and time spent downloading and uploading changes. - You can mount large repos to your local machine using git-xet mount for exploratory work. Individual files that are needed are streamed in just in time behind the scenes. We open sourced our implementation of mount and it was well received here on HN: https://ift.tt/35OCZFz - To give more users access to your data, just add them to your GitHub repo. This is a beta product and we would love all of your feedback. You can find all instructions to try this out here: https://ift.tt/JpMm7Pd While we’re in beta, our product is completely free to use. We have a Slack you can join or a GitHub issue tracker. - Slack: https://ift.tt/Cz7Klpa - GitHub: https://ift.tt/fGwzdup November 16, 2023 at 11:56PM

Show HN: AI Receptionist, Speaks 64 Languages https://ift.tt/1Mjpv8P

Show HN: AI Receptionist, Speaks 64 Languages If you are looking for a receptionist for your startup, consider using Lomni. Lomni is an AI receptionist that can: * Read your website to answer questions * Upsell your product or service according to your instructions * Send texts and emails to you or the caller, for example: * Send links and confirmation texts to callers * Forward customer feedback to support@startup.com * Connect to any API or webhook, in order to: * Generate leads * Book appointments * Process payments * Integrate with any application * Read from and write to your database * Do all of the above in any language, all day, everyday. * Do all of the above over SMS messaging or a chatbot that you could embed into your website. * Coming very soon: Do all of the above over WhatsApp, Facebook Messenger, and Google’s Business Messages. * Coming very soon: generate actionable insights from conversational data using state-of-the-art machine learning. Pricing: Lomni can do all of the above starting at $89/month, approximately 9 cents per minute of calling. This is 1/10th to 1/20th of the standard pricing of calling centres. Custom Demo: Set up in 30 minutes using our user-friendly dashboard and start testing. Alternatively, email hello@lomni.ai for a free custom demo. https://lomni.ai/ November 16, 2023 at 01:59AM

Show HN: Multi-Object Tracking in Python https://ift.tt/WD28MdH

Show HN: Multi-Object Tracking in Python Hello! I've created a small library for tracking, along with a tutorial. I plan to continue developing it. Tracking is an important topic, closely related to object detection. However, I've noticed that it doesn't receive as much attention compared to machine learning approaches. Or, the focus is on filters like the Kalman filter. This tutorial begins with single object tracking and progressively complicates the tasks, introducing various models and a hypothesis tree to solve them. https://ift.tt/Or3tg5M November 16, 2023 at 12:06AM