Summary of Online Training Of Large Language Models: Learn While Chatting, by Juhao Liang et al.
Online Training of Large Language Models: Learn while chatting
by Juhao Liang, Ziwei Wang, Zhuoheng Ma, Jianquan Li, Zhiyi Zhang, Xiangbo Wu, Benyou Wang
First submitted to arxiv on: 4 Mar 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 Medium Difficulty summary: This research paper proposes an innovative approach to interacting with Large Language Models (LLMs) in Natural Language Processing (NLP). Current LLM interaction paradigms are inflexible, limiting users’ ability to personalize models without programming skills. To address this issue, the authors introduce “Online Training using External Interactions,” which combines real-time model updates with customization capabilities through external interactions like AI agents or online/offline knowledge bases. This framework aims to overcome existing limitations in computational efficiency and user-friendly interfaces. The proposed paradigm leverages LLMs’ remarkable capabilities while providing users with unprecedented flexibility. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Low Difficulty summary: Imagine having a super smart language model that can help you with tasks, but you can’t tell it what to do or make it better without being an expert programmer. This paper tries to fix this problem by creating a new way for people to interact with these models, called “Online Training using External Interactions.” It lets users give the model new information and tasks in real-time, so it can learn and improve over time. This makes the model more helpful and flexible, which is important for many applications like chatbots or language translation tools. |
Keywords
» Artificial intelligence » Language model » Natural language processing » Nlp » Translation
