🗓️ This will be a week of hacking and fun from 24 February to 3 March
💻 Create innovative new apps with OpenAI's latest AI tools
💡 Learn from top AI professionals
⚒️ Combine GPT-3, Codex, Dalle-2, and Whisper to build your AI app
🐱‍💻 Now is the time to register and let's get started!

OpenAI Stack Hack

🛠️ Build your MVP in 7 days
🤝 Find your team on the platform
📈 Hours of educational context
🦾 Generative AI tools to build with
🏅 Further support for winners

AI Startup Hackathon

🗓️ Take part in this 7-day virtual hackathon from March 10 to March 17!
💻 Create AI applications utilizing Cohere's LLM-powered Multilingual Text Understanding model and Qdrant's vector search engine.
✔️ Are you new to AI or an experienced data scientist? Designer, or business developer? Regardless of your experience and background, we welcome you and value your domain expertise.
🐱‍💻 Join us for free and let's get started!

Cohere and Qdrant Multilingual Semantic Search Hackathon

No-rank

Apprentice

Zelda

A team to create tools to help children with learning difficulties with AI powered technology.

EYE READ

Alejandro Guirau

MicaBelli

Eye read aims at: 
Provide children with fun and interactive game allow them to acquire all the must have skills during reading acquisition critical age.
Provide children with developmental dyslexia access to daily exercises to guarantee their progress.
Provide parents with insights how their children progress and how they can support their children with the weakness being identified during playing.
Provide specialist who work with children have reading difficulties the progress, the insight and what shall be focused on face to face session.
Provide instituted the statistics a group of users how their progress and what can be done.   

Eye read is a research based, fun, interactive reading acquisition platform aims at provide personalized learning experiences. 

Eye read

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

OpenAI Codex is an artificial intelligence platform that enables developers to translate natural language into code. 

Codex

DALL·E 2 is a new AI system that can create realistic images and art from a description in natural language.

DALL-E-2

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.

Cohere

AI21 Labs is a platform for building AI applications. It provides a suite of tools and guides for building AI applications and training models. AI21 Labs helps developers and businesses use cutting-edge language models, with no NLP expertise required. Access powerful language models using an API that makes you smile

AI21 Labs

Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.

Whisper

YOLOv7 is the new state-of-the-art object detector in the YOLO family. According to the paper, it is the  most accurate and fastest real-time object detection to date.

YOLOv7

ChatGPT is a large language model trained by OpenAI to generate human-like text in a conversational style. It is a variant of the GPT-3 model, which was specifically designed to be used to generate text in response to user input. The ChatGPT model has been trained on a vast amount of text data, including conversations and other types of human-generated text, which allows it to generate text that is similar in style and content to human conversation. ChatGPT can be used to generate responses to questions, code, make suggestions, or provide information in a conversational manner, and it is able to do so in a way that is often indistinguishable from human-generated text. The initial model has been trained using Reinforcement Learning from Human Feedback (RLHF), using methods similar to InstructGPT, but with slight differences in the data collection setup. The model is trained using supervised fine-tuning, where human AI trainers provided conversations in which they played both sides—the user and an AI assistant. The trainers would have had access to model-written suggestions to help them compose their responses.

Zhanxian Wang@Zelda

🤓 Submissions

Eye read

👌 Attended Hackathons

OpenAI Stack Hack

AI Startup Hackathon

Cohere and Qdrant Multilingual Semantic Search Hackathon

📝 Certificates

AI Startup Hackathon | Certificate