Emerging trends in LLM technologies
As LLMs continue to evolve, they are rapidly being used by more people, not only as tools for natural language processing (NLP) but they are also becoming great engines driving the future of software development!
Emerging trends in LLM technologies are defining what these systems can do and how they can be used more effectively in a development context.
One key trend is domain-specific LLMs. As models such as GPT-4 become increasingly tailored to specific industries and coding practices, they will be more adept at solving specialized problems. You should expect to see more custom-built LLMs, optimized for industries and fields of research (e.g., data analytics, healthcare, finance, or aerospace).
Multimodal LLMs
Another trend has been the push towards multimodal LLMs (MLLMs)—models capable of understanding and generating multiple forms of data, such as text, images, and even code and video. This ability could revolutionize areas...
