LLMs, Data and Vector Databases
The field of natural language processing has seen a surge in the development of large language models, which are capable of processing vast amounts of text data with high accuracy. Meta’s LLaMA or Google’s Gemini are some of the most popular LLMs, growing in accuracy and capabilities with each release. Alongside these models, there has also been an increase in the creation of data stores and vector databases, which enable the storage and retrieval of large amounts of text-based information. The potential of these advancements is vast, as they can revolutionise various industries that rely on language processing, such as customer service, language translation, and content creation.