Summary of A Complete Survey on Llm-based Ai Chatbots, by Sumit Kumar Dam et al.
A Complete Survey on LLM-based AI Chatbots
by Sumit Kumar Dam, Choong Seon Hong, Yu Qiao, Chaoning Zhang
First submitted to arxiv on: 17 Jun 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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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 presents a comprehensive survey of the evolution and deployment of Large Language Model (LLM)-based chatbots across various sectors. The authors first summarize the development of foundational chatbots, followed by the evolution of LLMs, and then provide an overview of current and developing LLM-based chatbots. They explore diverse applications across industries, discussing open challenges such as data quality and misuse of generated knowledge. The paper concludes by outlining the future outlook for augmenting efficiency and reliability in various applications. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about how artificial intelligence (AI) has become super good at talking to us! It’s like having a conversation with a friend who can understand what we’re saying. The authors talk about how this technology started, how it got better over time, and what kind of things it can do now. They also mention some problems that come with this kind of AI, like using fake information or talking to us in ways that aren’t nice. Overall, the paper is all about how AI chatbots are changing the way we communicate and what we need to do to make them better. |
Keywords
* Artificial intelligence * Large language model
