Vikram Bala@vikram_bala217

Messenger apps like Discord & Slack have "channels" where multiple parties can send hundreds of texts daily. This can get out of hand pretty quickly if you've been offline, and we've sometimes had to scroll through hundreds of messages to understand what we've missed. The issue is that there isn't a quick & accessible way to figure things out. Tal;dera is a Discord bot that provides an easy-to-read, semantically rich summary of a channel's Discord activity in a particular time range. The summary is split into parts, and each part has a timestamp/link to its original messages. Users can call Tal;dera to extract message history and generate summaries (tl;dr's) of previous message chunks, given parameters such as number of messages, start time/date, output format, and chunk sizes. Summaries are given in an organized, embedded format, and are linked to where the conversations took place in the chats. Even though this was a challenging project for us, we were happy with what we were able to get done, and believe that this project has potential for B2B SaaS applications to team managers, employees, and chat service providers. We hope to continue this project by running pilot tests with smaller communities so that they can give feedback on Tal;dera, the summarizer bot for missed activity in Discord channels.

Come to the Cohere Thanksgiving Hackathon and let's build, create, and innovate together! This is a perfect opportunity to use your skills and creativity to support a cause or make a difference. You could build a business idea or a social cause project – it's up to you! 👉 There is not only incredible prizes up for grabs, this is also a perfect opportunity to get into the absolute 🔥🔥🔥 hottest 🔥🔥🔥 trend in technology. <b> <br/><br/>Sign up now and let's make a difference this <u>Thanksgiving!</u></b> Both seasoned AI / Tech pros as well as people with other domain knowledge are welcome, our team matchmaking system will make sure you find a team to work with, or create your own and invite your friends / colleagues.

Transformers are context-learning neural networks. They learn by tracking relationships in sequential data, for example, words in sentences. You might know them as some of the best AI models in the market - OpenAI’s GPT-3 and Cohere In our 3-day Hackathon, organized along with the Swiss AI Association, you’ll use context-learning neural networks to build solutions with people from all around the globe and have an opportunity to pitch your AI Prototypes worldwide. Jump in to learn more about harnessing the power of Transformers!

Join us for a hackathon where we will be using OpenAI Whisper to create innovative solutions! Whisper is a neural net that has been trained to approach human level robustness and accuracy for English speech recognition. We will be using this tool to create applications that can transcribe in multiple languages, as well as translate from those languages into English. This will be a great opportunity for you to learn more about speech processing and to create some useful applications!