🗓️ 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

No-rank

Apprentice

xg427

An AI app that helps users in solving quantum computing problems.

Dijkstra

balogvn

Karo_15

Yaya11234

FaisalLatif710

FERCHAKHI

We're excited to introduce you to our new AI app designed to help solve some of the most challenging problems in quantum computing. Quantum computing holds enormous promise for solving complex problems that are beyond the reach of classical computers. However, the complexity of quantum systems makes it incredibly difficult to design and optimize efficient quantum circuits. That's where our app comes in. By using generative AI techniques, such as those employed by OpenAI and Cohere, our app can help users generate quantum circuits, optimize gate sequences, and find efficient quantum algorithms. We believe that our app has the potential to revolutionize the field of quantum computing and accelerate progress towards practical quantum applications. So, without further ado, let's dive into the features and benefits of our app and see how it can help researchers, students, and professionals in the quantum computing field.

An AI app that helps users in solving quantum computing problems using  generative AI

quantumaide

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.

hu xg@xg427

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🤝 Top Collabolators

Kayode Balogun

Ossama Ferjani

Bolaji Alimi

Faisal Latif

🤓 Submissions

quantumaide

👌 Attended Hackathons

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AI Startup Hackathon | Certificate