Summary of Recording First-person Experiences to Build a New Type Of Foundation Model, by Dionis Barcari et al.
Recording First-person Experiences to Build a New Type of Foundation Model
by Dionis Barcari, David Gamez, Aliya Grig
First submitted to arxiv on: 31 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
Summary difficulty | Written by | Summary |
---|---|---|
High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Foundation models have revolutionized AI in recent years, with massive investments pouring in during the current AI boom. Trained on vast amounts of Internet data, popular models like Chat-GPT have achieved impressive results. However, concerns are growing that this data will soon be exhausted, prompting technology companies to seek new sources for training the next generation of foundation models. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary Foundation models have had a big impact in recent years and billions of dollars are being invested in them. Trained on large amounts of Internet data, these popular models like Chat-GPT have achieved impressive results. But it’s becoming clear that this data will soon be exhausted, so companies are looking for new sources to train the next generation. |
Keywords
» Artificial intelligence » Gpt » Prompting