Survey of LLMs
Reviews three popular families of LLMs (GPT, Llama, PaLM), their characteristics, contributions, and limitations.
Includes a summary of capabilities and techniques developed to build and augment LLM.
It also discusses popular datasets for LLM training, fine-tuning, and evaluation, and LLM evaluation metrics.
Concludes with open challenges and future research directions.
Reviews three popular families of LLMs (GPT, Llama, PaLM), their characteristics, contributions, and limitations.
Includes a summary of capabilities and techniques developed to build and augment LLM.
It also discusses popular datasets for LLM training, fine-tuning, and evaluation, and LLM evaluation metrics.
Concludes with open challenges and future research directions.
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