The best large language models (LLMs) in 2024

The text discusses Large Language Models (LLMs) and their increasing presence in various applications, including chatbots, AI writing generators, and search engines. LLMs have been trained on huge corpora of data, enabling them to generate text that sounds authoritative on a wide range of subjects. They are becoming increasingly useful and powerful, with the emergence of multimodal models (LMMs) that can handle images, audio, and video in addition to text. The article highlights various LLMs, including GPT, Gemini, Llama, Claude, Command, Falcon, DBRX, Mixtral, Phi-3, Grok, and others, discussing their developers, parameters, context windows, and access levels. It also touches on the reasons for the proliferation of LLMs, such as advances in AI research, the availability of computing power, and the incentives provided by big tech companies. The article concludes that we can expect to see more LLMs in the near future, including efficient models tailored for smartphones and large multimodal models that combine text generation with other modalities.