🗓️ 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
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OpenAI Stack Hack

🗓️ This will be a 5-days of hacking and fun from 10-14 March
💻 Build with the latest AI tools to create innovative new apps and solutions
💡 Work with top AI professionals and learn from them
⚒️ Create your AI app by combining different generative AI models
🎟️ 100 Free tickets to salz21 conference in Salzburg Austria - get them below
✅ Register now and let's get started!

Salz21 AI Hackathon

No-rank

Apprentice

azzasalim

Finding bias and discrimination in job descriptions

Devrain team

sashaeve

EugeneLazakovich

 A potential app using NLP and machine learning algorithms could address bias and discrimination in job descriptions by analyzing the language used in job descriptions and providing suggestions for more inclusive language. ​
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Our app would suggest changing gendered pronouns to gender-neutral language and replacing language emphasizing masculine traits with language emphasizing job skills. The app could also provide real-time feedback and would need to be trained on a diverse dataset of job descriptions and language guidelines. The app has the potential to promote diversity and inclusion in the workplace and increase the number of qualified candidates from a broader range of backgrounds.

NLP/ML app fights job desc bias and suggests inclusive language (neutral pronouns, skill emphasis) with real-time feedback & diverse dataset training. Promotes diversity, and expands candidate pool.

Bias and discrimination

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

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

DALL-E-2

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

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.

ChatGPT

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

Azza Salim@azzasalim

Events attended

Submissions made

I built with

Socials

🤝 Top Collabolators

Oleksandr Krakovetskyi

🤓 Submissions

Bias and discrimination

👌 Attended Hackathons

OpenAI Stack Hack

Salz21 AI Hackathon

📝 Certificates

OpenAI Stack Hack | Certificate