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!

Transformers AI Online Hackathon

No-rank

Apprentice

Sacha Gunaratne

The goal is to provide an interactive tool for visualizing research papers in a 2D map where the papers are placed on the map based on some vector embedding of the summary. The papers that are similar to each other will cluster together. This will allow researchers to identify papers that have similar concepts and even allow users to look at concepts from different fields that are applicable in their own field. 

Research Paper Clustering

GPT-3 stands for Generative Pre-trained Transformer 3 and it is an autoregressive language model that uses deep learning to produce human-like text. It is the third-generation language prediction model in the GPT-n series created by OpenAI. GPT-3 is currently in open beta.

GPT-3

One of the best AI labs in the world. By using the Cohere platform we are able to use one of the best and most powerful language models for our own! There are many tutorials, including our own one, that show how to use Cohere.

Sacha Gunaratne@sacha_gunaratne652

Events attended

Submissions made

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Socials

🤝 Top Collabolators

Sacha Gunaratne

Rahel Gunaratne

🤓 Submissions

Research Paper Clustering

📝 Certificates

Transformers AI Online Hackathon | Certificate