Explain This – AI explanations in a web app instead of chatbot
"Explain This" was inspired by Github Copilot, where you can get an easy code explanation. So we bring this into a web app for customer support. I believe that chatbots are not it for customer support and that AI has better uses. "Explain This" allows the user to pick any part of web app and get it explained. The explanation is generated on the fly from the knowledge base; no need to have the content prepared; it will figure out the user's context and find the most fitting parts of the text we can then use to generate the content. When implemented it reduces the number of chatbot…
What it does
In the maker’s words, at launch
"Explain This" was inspired by Github Copilot, where you can get an easy code explanation. So we bring this into a web app for customer support. I believe that chatbots are not it for customer support and that AI has better uses. "Explain This" allows the user to pick any part of web app and get it explained. The explanation is generated on the fly from the knowledge base; no need to have the content prepared; it will figure out the user's context and find the most fitting parts of the text we can then use to generate the content. When implemented it reduces the number of chatbot interactions. And also tells which parts of the product are not clear, so it can be then improved upon later. The setup takes less than 5 minutes. We use the same approach for Tooltips. You set them once, e.g. attach to all page titles and the content gets generated if requested.
Does the same job
all alternatives →
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, March 2024
the whole month →
- 3Y
Life & fun · 2024 · github.com
Microlaunch▲1,116Launch and get feedback on both the idea and product
Dev tools · 2024 · microlaunch.net
