Show HN: Interesting Maps https://ift.tt/EbzeiwU

Show HN: Interesting Maps https://ift.tt/5Nsu2wX July 23, 2023 at 02:40AM

Show HN: Chitchat, an easy-to-use, cross-platform, chat-based LLM interface https://ift.tt/9vPUHmV

Show HN: Chitchat, an easy-to-use, cross-platform, chat-based LLM interface Just finished the first draft of my weekend project. Sadly my industry is far away from all the exciting machine learning developments happening right now, so I wrote this project as my first exploration into the world of LLMs. It's not perfect, but I'm excited to see where the project goes from here! https://ift.tt/DGvXiWe My main motivations were: - Easy-of-use: Many models are supported out-of-the-box so users don't have to figure out how to download, where to save, etc. - Intuitive: A clean interface - Cross platform: The project is written in Rust and cross-compiled to other platforms. You don't have to have Python or the C++ toolchain installed to use. - Chat-based experience: Model sessions are persisted so the model is contextually aware of your conversation. https://ift.tt/yP27Usd July 22, 2023 at 10:06PM

Show HN: News Radar, an experiment on generating news with AI https://ift.tt/0Sobqj5

Show HN: News Radar, an experiment on generating news with AI Hey folks! This is a project that I've been working in my free time for the past few months. It's a news aggregator that uses AI to select relevant articles and summarize them. The default sources are frameworks and libraries' updates, popular HN topics, and languages' subreddits threads that make past a certain threshold. You can run a local instance (needs an OpenAI key) and customize it with your own sources, and adjust the prompt as well. The resulting website can be browsed at https://dev-radar.com/ My next experiment will be with local news. I'm building some feeds with public information from my town (the town's hall official news, the legislators weekly meeting notes, weather reports, waze, etc), and based on that make it generate news items. The thing about it is that its sources will be (nearly) primary - it will not copy content from other journalists (apart from the official town hall news, which I will need to tell the AI that will be biased towards the current administration). When analyzing the local records, it might be able to catch shady stuff that regular journalists would not notice. Imagine feeding some purchase records from the town and asking the AI some questions like "is something illegal going on here?" or "are any of these items overpriced?". https://ift.tt/rUyd96K July 22, 2023 at 11:48PM

Show HN: Trivia Book made with GPT-4 https://ift.tt/K983DMH

Show HN: Trivia Book made with GPT-4 Free for the next 5 days. https://ift.tt/DUylFPs July 22, 2023 at 08:21PM

Show HN: Vanity, Recognition and Fighting Perfectionism – Buildlog for Git Vain https://ift.tt/RjlBxNF

Show HN: Vanity, Recognition and Fighting Perfectionism – Buildlog for Git Vain https://ift.tt/xEls6yn July 22, 2023 at 02:19PM

Show HN: I trained a 65B LLM on my texts to talk to myself (details inside) https://ift.tt/Yona0ES

Show HN: I trained a 65B LLM on my texts to talk to myself (details inside) I trained the 65b model on my texts so I can talk to myself. It's pretty useless as an assistant, and will only do stuff you convince it to, but I guess it's technically uncensored? I'll leave it up for a bit if you want to chat with it. I posted this to Reddit and had several hundred people talking to it. Salient points from that discussion: LLAMA 1 65b Rank 128 5 epochs Batch size 1, 256 cutoff Trained in the Oobabooga suite using bitsandbytes 4-bit quantization for the lora Loss around 1.5 seems to give the most coherent results Trained on raw text dumps that is then parsed by a crappy Blazor Server app I threw together in a few hours. Text format is just "Sender:The Message\n" Trained on 2x 3090 Training took about 16 hours at a 90% power cap on the 3090's Trained on ~30k texts (I talk a lot, that was just 2 years) There's nothing telling it that it's a robot, though it sometimes seems to know It was largely inspired by the Unreal Engine lora tutorial I generated a list of fake names and addresses, pulled a list of my contacts, and then scripted out swapping the names and addresses for fictitious PII. I don't really send other sensitive data through text and my account is so thoroughly associated with my real name/location that the data leakage risk is manageable for the short period of time I'll have this available. It tends to halucinate fake PII as well which I think is partially a side effect of the data scrubbing. You'll notice it says things like that I live at 420 Ligma. I'll need to mix in some actual assistant tasks to the dataset before it will actually be useful as an assistant. Right now it's largely just for idle conversation. It's pretty ADHD and will randomly go off on its own tangents. I don't think it's the model. I think I just talk like that. Let me know if you have any questions or comments. I built it for myself, but figured I'll let the communities that have taught and entertained me so much play with it a little, too. Note: it says some pretty unhinged stuff. There's absolutely no guardrails. It also tends to talk like you're already friends with history. https://ift.tt/MJ6UQgT July 21, 2023 at 09:31PM

Show HN: Datalake for Computer Vision Projects https://ift.tt/tYQan2W

Show HN: Datalake for Computer Vision Projects Buddhika, Kelum, and Chong Han here. We are building a self-hosted data infrastructure platform for computer vision. Our community page is https://ift.tt/QA0tbHg In the past, we worked on a couple of high-scale computer vision projects in retail, farming, and hospitals in various capacities. These projects involved 2D object sections, 3D object tracking, and more advanced 3D perception. Like other CV Engineers, we observed a common factor during these projects: one needs a large volume of high-quality data to build a production-deployable CV system. Our biggest challenge was not having a robust data infrastructure to handle large volumes of data. Our S3 buckets were like a data swamp; we had so much raw image and video in storage buckets without tracking. Instead of working on CV, we had to develop tools for data operations. We understand that many of us have our own custom scripts and stitch them together to make things happen in the CV pipeline. However, it is brittle and cumbersome to maintain. We wanted to build a system on top of the cloud buckets such as S3 that store all file indexes, labels, metadata attributes, inference outputs, model training outcomes, and literally anything related to machine learning/computer vision. This makes it possible for us to search for anything and consume efficiently. This behaves as a DataLake (by the way, "DataLake" is an overused term). All other downstream processes in the CV pipeline can access data more efficiently via SDK and can also return data back to the Lake (e.g., training/inference outcomes). The reason we made it self-hosted is to address data security and privacy concerns. Since data is fundamental to AI, we believe that companies and organizations should have complete control over it. Currently, we support AWS, GCP, and Azure cloud buckets; soon, we will support local storage. We ship this as a Docker container so you can just install it on any VM or local server. The installation script will do all the configuration automatically. The Python SDK and documentation are available but not perfect yet. We’ve launched this under MIT and Elastic licenses so any developer can use it. Our goal is not to charge individual developers. We make money by charging a license fee for things like multiple users, multiple buckets, scalability with K8, and providing support. Give it a try: https://ift.tt/QA0tbHg Let us know what you think. July 22, 2023 at 04:45AM

Show HN: Guiding LLM outputs using Zod https://ift.tt/Pqcypi3

Show HN: Guiding LLM outputs using Zod https://ift.tt/3pFiYAJ July 22, 2023 at 02:32AM

Show HN: TextToSample – Desktop App to generate audio with MusicGen locally https://ift.tt/SL87QKe

Show HN: TextToSample – Desktop App to generate audio with MusicGen locally https://ift.tt/PQ3krz4 July 21, 2023 at 09:23PM

Show HN: CopilotKit – a hackable OSS copilot for any react app https://ift.tt/flSk4wT

Show HN: CopilotKit – a hackable OSS copilot for any react app CopilotKit is a typescript library for adding a hackable copilot to any react app. You can let the copilot interact with your app via plain typescript closures , and give it (explicit) read access to app data. An example user interaction could look like: - "Which of these travel destinations has a rich architecture history?" - [Copilot answers] - "Great. Add these to my august trip folder, except the ones where it's typically rainy then" - [Added] Recursive agent integration (via Langchain) is in the works - if you have ideas I'd love to hear them here or on the discord. https://ift.tt/7KhAvEe July 22, 2023 at 12:29AM

Show HN: Open Video Game Data: A new approach to evaluating games https://ift.tt/AKGEvOn

Show HN: Open Video Game Data: A new approach to evaluating games > Introduction Our idea is to offer an alternative to well-known sites like Metacritic and OpenCritic, but with a different approach. Instead of being a score aggregator, we will be a list aggregator. Metacritic brings together reviews from multiple review sites in one place, providing a final score of 0-100 based on a weighted arithmetic average, where some critics carry more weight than others. An alternative to Metacritic is OpenCritic, where all critics are weighted equally in the final average. However, both still work with numeric scores. > Why relying on scores can be problematic? - Ratings only reflect the state of the game at launch Today, more than ever, games are constantly evolving. It is common to have "patch day one", that is, games released with bugs and incomplete content. However, with time and help from the community, these games can be improved, as was the case with No Man's Sky. When No Man's Sky was released in 2016, its average on Metacritic was just 61, due to the troubled release. However, over the years, the game has evolved significantly with updates, but its Metacritic score remains frozen at 61. Alternative: As the lists are constantly evolving and updating, they more accurately reflect the current quality of the games, tracking their improvements and changes over time. - The average score can be unfair as it is based on the amount of critics Sometimes, the amount of crits heavily influences a game's rating. An example of this is The Legend of Zelda: Ocarina of Time, with an average of 99 on Metacritic, based on 22 critics. While The Legend of Zelda: Breath of the Wild averages a 97, based on 109 critics. Getting a high average based on a large number of critics is extremely difficult, and this can influence the overall perception of a game. Alternative: When a final list is created, all games have an equal chance of appearing in different lists. For example, game A might be included in 3 out of 11 lists, while game B might be mentioned in 5 out of 11 lists. The total amount of lists will always be the same for all games. - Relying on an average can be inaccurate Metacritic converts the different rating scales of review sites into a single percentage-based quantitative scale. However, this conversion can be inaccurate and unfair, as each site uses different rating systems. This approach can result in important information being lost during conversion, affecting the accuracy of the final result. Alternative: With our ranked lists approach, we eliminate the need to convert rating systems, as all lists, regardless of site, follow the same common logic. In all lists, there will always be first place, second place, and so on. > A great alternative: *Open Video Game Data* Our site aims to be just another alternative to note-based sites. Our approach to aggregating lists allows users to have a more comprehensive and up-to-date view of games as these lists are constantly updated by the community. The calculation method is quite simple and transparent. All lists on the site have a maximum size of 15 games. When a game ranks first in a list, it is rewarded with 15 points, while if it ranks last, it only receives 1 point. > Conclusion Open Video Game Data seeks to provide gamers and game enthusiasts with a reliable tool to make informed decisions about which games to play, taking into account critics' opinions and the ongoing evolution of the gaming industry. With the active participation of the community, users can add critic lists and can also create personal lists that are also aggregated, we hope to build an inclusive and reference platform for the gaming community, promoting a more complete and updated analysis about the games that so much we love. Come be part of our community! Create an account and join us to explore the world of playlists. Welcome to Open Video Game Data! Visit us at: https://ift.tt/NUkdvRC July 21, 2023 at 05:56AM

Show HN: A fine-tuned Stable Diffusion model for generating Minecraft skins https://ift.tt/Kht1igy

Show HN: A fine-tuned Stable Diffusion model for generating Minecraft skins https://ift.tt/cSgaqti July 21, 2023 at 04:10AM

Show HN: Spends https://ift.tt/Ag46RkG

Show HN: Spends https://www.spends.ca July 21, 2023 at 02:03AM

Show HN: Playback – Interactive Programming and Print Debugging Reimagined https://ift.tt/gBsr5iy

Show HN: Playback – Interactive Programming and Print Debugging Reimagined Ladies and gentlemen of a Lisp persuasion, Clojurians and Clojuristas, followers of the paren and everyone else covetously eyeing the greener grass, I made an open-source thing that I would like to share with you. My elevator pitch is that it'll make you forget all about regular print debugging in 10 minutes straight. The slightly longer pitch is this: #>(tag'n'trace any Clojure(-Script) form to `tap>` and Portal with automatic last-input function replay on eval, instant re-render and hassle-free insertion of traced data into the REPL) And before I end up pasting half the README here in bits and pieces, just go and check out the damn thing, will ya. There's a screencast and everything. https://ift.tt/V4McoCI https://ift.tt/V4McoCI July 20, 2023 at 10:33PM

Show HN: Jnigen – Experimental Java interop for Dart / Flutter on Android https://ift.tt/wDjEUZC

Show HN: Jnigen – Experimental Java interop for Dart / Flutter on Android https://ift.tt/kS6iYB4 July 20, 2023 at 08:31PM

Show HN: LLTZ – World’s First Compiler from MLIR to Blockchain VM https://ift.tt/3gJHq7d

Show HN: LLTZ – World’s First Compiler from MLIR to Blockchain VM https://ift.tt/SIntfNW July 20, 2023 at 03:55PM

Show HN: Make Matrix Google-Searchable (Linen.dev) https://ift.tt/dQeFw1z

Show HN: Make Matrix Google-Searchable (Linen.dev) https://ift.tt/i05UdDy July 20, 2023 at 12:38AM

Show HN: Snapify – open-source Loom alternative https://ift.tt/aInphFK

Show HN: Snapify – open-source Loom alternative https://ift.tt/a3AgJnK July 19, 2023 at 11:53PM

Show HN: Efficient intermediate data sharing for Kedro pipelines https://ift.tt/UNxIrT2

Show HN: Efficient intermediate data sharing for Kedro pipelines Data processing pipelines are becoming increasingly complex, and intermediate data sharing is becoming the bottleneck, especially for data-intensive analytics and data preprocessing in machine learning and AI. This blog shows the possibility of efficient data sharing in data science pipelines, which naturally fits the settings of Kubernetes. It demonstrates how existing codebases can benefit from it without requiring an overhaul of the engineering effort. https://ift.tt/0v1tUoP July 19, 2023 at 03:23PM

Show HN: Ansible update playbook for Fedora Silverblue https://ift.tt/4s1ugTP

Show HN: Ansible update playbook for Fedora Silverblue I've been a reader of Hacker News for many years, but this will be my first post. I love using Ansible and have created a simple Playbook for updating Fedora Silverblue, along with Flatpaks and Distroboxes. This is version 1.0 and I though that some else might find it useful as well, hence why I am posting it here. https://ift.tt/bquxdKN Have a great summer :-) July 19, 2023 at 01:45PM