🗓️ 48 hours of building (24-26th March)
💻 Create innovative new apps with OpenAI's latest ChatGPT and Whisper APIs
💡 Learn from top AI professionals
⚒️ Combine new GPT 3,5 Turbo and Whisper APIs to build your AI app
🐱‍💻 Now is the time to register and let's get started!

ChatGPT API & Whisper API Global Hackathon

No-rank

Apprentice

Asspunchman

Meet Tengri AI, a team of Data Scientist, AI/ML engineers hailing from the heart of Central Asia.

Tengri AI

natalia_alexz

Clients go to our website, where they can paste the URL or video itself and select the desired language for translation. The model using GPT-3 automatically determines the language for generation, translates into the required language. Also, the model automatically determines intonation, pronunciation speed, age, gender of the speaker and could make sample of own voice. The client receives the video in the language selected at the beginning.
For the future, we want to link our site to virtual assistants so that videos are accessible to people with disabilities. And also connect the ability to translate into all languages ​​of the world


Make available any open source video for every person, including those with disabilities. Help promote the conservation of endangered or endangered languages

AI video translator

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

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.

Aspandiyar Nurimanov@Asspunchman

Events attended

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Nataliia Aleksandrova

🤓 Submissions

AI video translator

👌 Attended Hackathons

ChatGPT API & Whisper API Global Hackathon

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ChatGPT API & Whisper API Global Hackathon | Certificate