Everybody is talking about (and with) ChatGPT. I tried it and was impressed by how well the language model behaves and finally how real and humanly it appears, despite the obvious nonsense that it outputs. I was wondering how machine learning practically works and how to build a neural network.
Project Description
Learn about AI, ML, neural networks and get a better idea on limitations, risks and opportunities.
Goal for this Hackweek
Understand the concepts, create a demo case for machine learning with OS software.
Resources
Needs time in the first place to view documentation, and probably a Cray EX235a towards the end of the week :-)
Looking for hackers with the skills:
This project is part of:
Hack Week 22
Activity
Comments
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almost 3 years ago by maritawerner | Reply
Interesting Link: https://en.wikipedia.org/wiki/Hallucination(artificialintelligence)
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Description
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Goals
Evaluate how CLAP can be used for song searching and determine which types of queries yield the best results by developing a Minimum Viable Product (MVP) in Python. Based on the results of this MVP, future steps could include:
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In this MVP we implemented:
- Async Song Analysis with Clap model
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We also documented what went well and what can be improved in the use of AI.
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References
- CLAP: The main model being researched;
- huggingface: Pre-trained models for CLAP;
- Free Music Archive: Creative Commons songs that can be used for testing;