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  1. Mar 31, 2023 · In this survey, we review the recent advances of LLMs by introducing the background, key findings, and mainstream techniques. In particular, we focus on four major aspects of LLMs, namely pre-training, adaptation tuning, utilization, and capacity evaluation.

  2. Feb 9, 2024 · In this paper, we review some of the most prominent LLMs, including three popular LLM families (GPT, LLaMA, PaLM), and discuss their characteristics, contributions and limitations. We also give an overview of techniques developed to build, and augment LLMs.

    • arXiv:2402.06196 [cs.CL]
  3. Oct 30, 2023 · This survey endeavors to offer a panoramic perspective on the evaluation of LLMs. We categorize the evaluation of LLMs into three major groups: knowledge and capability evaluation, alignment evaluation and safety evaluation.

    • arXiv:2310.19736 [cs.CL]
    • 111 pages
  4. Mar 1, 2024 · In this survey paper, we mainly focus on Open AI LLMs like GPT-3 models, GPT-3.5 models (InstructGPT, ChatGPT etc.) and GPT-4, which we refer to as GPT-3 family large language models (GLLMs). This survey paper provides a comprehensive review of research works related to GLLMs in multiple dimensions.

  5. Large language models (LLMs) have demonstrated impressive capabilities in natural language processing. However, their internal mechanisms are still unclear and this lack of transparency poses unwanted risks for downstream applications.

  6. Large language models are a type of artificial intelligence that have emerged as powerful tools for a wide range of tasks, including natural language processing (NLP), machine translation. Expand. d197for5662m48.cloudfront.net. Save to Library. Create Alert. Cite. Figures and Tables from this paper. figure 10. figure 11. figure 12. figure 14.

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  8. 1. A Survey on Large Language Models: Applications, Challenges, Limitations, and Practical Usage. I. INTRODUCTION. Human beings possess the remarkable ability to express and communicate...

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