I made free versions of GPTs
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…
What it does
In the maker’s words, at launch
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 credits they get when they signup, for extended use. My goal is to create more powerful versions of GPTs. The idea is that since I have full control over the backend and the front end, I should be able to create more useful "GPTs", especially when I allow the user to integrate with third party applications. Some examples of this: 1. GitHub Repo Quick Analyzer (https://www.mithrin.ai/experts/github-repo-quick-analyzer/): This allows users to connect public or their private Github repositories to an llm and get insights on it, and basically chat with it. 2. Research Insight Provider (https://www.mithrin.ai/experts/research-insight-provider/): This helps users to research topics using Pubmed, arXiv and Google Scholar. I've only just begun with these two and there is a lot of room for improvement. I currently have more than 1000 of these Experts. Most of them are quite basic, but, as stated above, I'd gradually make many of them more powerful. Thoughts?
Does the same job
all alternatives →
Omni Channel Custom GPT Chatbot 2023 · ▲124Create GPT chatbots for your data & publish on all platforms
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, October 2024
the whole month →
Softr for Notion▲925Turn Notion databases into portals & apps with no code
Dev tools · 2024 · softr.io
One inbox for all your work discussions
Work · 2024 · generalcollaboration.com