Summary of Recent Advances in Generative Ai and Large Language Models: Current Status, Challenges, and Perspectives, by Desta Haileselassie Hagos et al.
Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives
by Desta Haileselassie Hagos, Rick Battle, Danda B. Rawat
First submitted to arxiv on: 20 Jul 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper delves into the current state of Generative Artificial Intelligence (AI) and Large Language Models (LLMs), highlighting their remarkable advancements and far-reaching applications. The authors demonstrate the technical foundations, practical uses, and emerging challenges in this rapidly evolving field. By providing a comprehensive perspective on the generative capabilities of AI systems and LLMs, the paper aims to inform researchers, practitioners, and policymakers about the responsible integration of these technologies into various domains. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is all about really smart computers called Generative Artificial Intelligence (AI) and Large Language Models (LLMs). These supercomputers can do amazing things like create new text or pictures. The people who made this paper want to show everyone how well these AI systems are working right now and what they’re good for. They also talk about the challenges that come with having these powerful computers. The main goal is to help experts, people who work with these systems, and even government officials understand how to use them in a responsible way. |
