A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.

2025年1月22日 · Large Language Models (LLMs) are advanced AI systems utilizing deep learning techniques to process and generate human language, with applications ranging from text generation to language translation, while facing challenges such as high training costs and environmental impact.

2023年11月2日 · Large language models are AI systems capable of understanding and generating human language by processing vast amounts of text data.

2024年4月30日 · Large Language Models (LLMs) have dramatically transformed natural language processing (NLP), excelling in tasks like text generation, translation, summarization, and question-answering. However, these models may not always be ideal for specific domains or tasks.

2024年9月6日 · Define language models and large language models (LLMs). Define key LLM concepts, including Transformers and self-attention. Describe the costs and benefits of LLMs, along with common use cases.

Learn how to use large language models (LLMs), "general purpose" AI models that can analyze text, images, and audio, to improve your workflow. After completing this module, you'll be able to: Explain what a large language model (LLM) is. Describe what LLMs can and can't do. Understand core concepts like prompts, tokens, and completions.

2023年7月12日 · Large Language Models (LLMs) have recently demonstrated remarkable capabilities in natural language processing tasks and beyond. This success of LLMs has led to a large influx of research contributions in this direction.