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Democratizing the magic of ChatGPT with open models

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  17. 17OS

    Hi friends! I've been waiting for ChatGPT Code Interpreter access for so long that I decided to just build my own. I figured maybe some of you are in the same boat so decided to do it as an Open Source project.

    2023 · ricklamers.io

  18. 18AL

    Hi HN! I wanted to share my freshly finished open-source project. It is similar to ChatGPT Code Interpreter, but the interpreter runs locally and it can use open-source models like Llama 2. It allows you to work with sensitive data without uploading it to the cloud. Either you use a local LLM (like Llama 2), or an API (like GPT-4). For the latter case, there is an approval mechanism in the UI, which separates your local data from the remote services. I would be very interested in your valuable feedback!

    2023 · github.com

  19. 19CA

    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://github.com/clarkmcc/chitchat 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…

    2023 · clarkmccauley.com

  20. 20LO

    Hi HN! I built LLM OneStop (https://www.llmonestop.com), a unified interface for accessing multiple AI language models in one place. The main problem I wanted to solve: constantly switching between different AI platforms, managing multiple subscriptions, and losing conversation context when comparing outputs across models. Key features: Switch between GPT-4, Claude, Gemini, Llama, and other models mid-conversation Compare responses side-by-side Single interface instead of juggling multiple tabs/subscriptions Free tier available to try it out (no credit card needed) "Connect"…

    Nov 2025 · llmonestop.com

  21. 21IM

    Hi guys, For my startup at www.mithrin.ai which is about create AI Chatbot Agents for websites, I wanted to create some free tools to attract traffic to the site and decided to create specialized chatbots powered by LLMs, similar to OpenAI's Custom GPTs. I realized that by using gpt-4o-mini, I could create quite powerful alternatives to GPTs that are free to the public for a very small cost (given how cheap the model api cost is). I've employed some throttling to prevent abuse and to avoid being charged too much. Then I integrated this with my main service and allowed users to use the…

    2024 · mithrin.ai

  22. 22OS

    Hey everyone, DNDGenerate is my little adventure into the world of AI and D&D. I wanted to learn more about using ChatGpt to build software and about the openai apis. When I saw how much fun my 9-year-old was having, creating his own D&D worlds. That got me thinking – why not make a tool that uses ChatGPT to help build cool D&D campaigns? It's been a blast mixing my love for tech and D&D. I showed this at our latest dnd game, and my fellow party members seemed to like the results, so I thought I'd share it here as well.

    2024 · github.com

  23. 23CP

    I'm building an AI platform, FlowChai and found a neat use case for it today that I thought would be useful to HN readers. I use GPT4 heavily for writing / editing code, but a major downside is that it doesn't know about new projects. I made the connection today that I could upload the zip file of a Github repo to FlowChai and then write prompts just like with ChatGPT with code questions. While the original intent for this platform is more around natural language, it's neat how this works so well. It's powered underneath by pgvector and OpenAI embeddings.

    2023 · flowch.ai

  24. 24MC

    Hey everyone! Many of you might have come across the Mamba paper a few days ago, which introduced an LLM based on a state space model architecture. The Mamba architecture is quite useful as its complexity scales subquadratically with input length and is therefore way more efficient than transformer models: https://github.com/state-spaces/mamba I got really excited about the paper, so I decided to fine-tune the model on a chat dataset. It turns that this actually worked quite well! The model is quite suitable for casual chatting, which honestly surprised me given that it…

    2023 · github.com

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