Summary of Generative Ai Systems: a Systems-based Perspective on Generative Ai, by Jakub M. Tomczak
Generative AI Systems: A Systems-based Perspective on Generative AI
by Jakub M. Tomczak
First submitted to arxiv on: 25 Jun 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: 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 Large Language Models (LLMs) have transformed AI systems by enabling communication with machines using natural language. Recent advancements in Generative AI (GenAI), such as Vision-Language Models (GPT-4V) and Gemini, have demonstrated the potential of LLMs as multimodal systems. This paper introduces Generative AI Systems (GenAISys), capable of multimodal processing, content creation, and decision-making, utilizing natural language as a communication means and modality encoders as I/O interfaces for various data sources. GenAISys also incorporate databases and external specialized tools, communicating through a module for information retrieval and storage. The paper explores research directions in GenAISys, including compositionality, reliability, verifiability, training, and insights from the system-based perspective. Cross-disciplinary approaches are necessary to understand the inner workings of GenAI systems. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper talks about how computers can understand and create natural language like humans do. It’s a new kind of artificial intelligence called Generative AI Systems (GenAISys). These systems can process different types of data, create content, and even make decisions. They use natural language as a way to communicate with us and other machines. The paper is trying to figure out how to design and build these GenAISys so they’re reliable, trustworthy, and work well together. |
Keywords
» Artificial intelligence » Gemini » Gpt
