LLMs Will Be Integrated to Solve
Posted: Thu Feb 13, 2025 4:06 am
More Challenging Problems
Technologies like LangChain, which allow users to feed the results of one LLM into another LLM, will become much more important for corporate users than the next, all-knowing LLM. Imagine using an LLM that measures the anger of a caller in a call center (furious), and that anger is fed into a follow-on model that combines the anger with the france whatsapp number data fundamental issue being addressed in the call to predict the likelihood of that caller canceling their service, or buying a competing product. Combinational AI is the next big step for corporate AI, be it in customer support, buyer purchase behavior, or any other fundamental business problem.
NLP Will Become More Relevant as LLMs Lead to Surge in Unstructured Data Volumes
LLMs are a trigger that encourages companies to utilize all of the unstructured data that they typically ignore because it’s hard to work with. LLMs are a gateway to this content, but powerful NLP that can tear apart unstructured and semi-structured content by speakers, regions, or problem areas will bring the diagnostic abilities of LLMs to the next level.
Technologies like LangChain, which allow users to feed the results of one LLM into another LLM, will become much more important for corporate users than the next, all-knowing LLM. Imagine using an LLM that measures the anger of a caller in a call center (furious), and that anger is fed into a follow-on model that combines the anger with the france whatsapp number data fundamental issue being addressed in the call to predict the likelihood of that caller canceling their service, or buying a competing product. Combinational AI is the next big step for corporate AI, be it in customer support, buyer purchase behavior, or any other fundamental business problem.
NLP Will Become More Relevant as LLMs Lead to Surge in Unstructured Data Volumes
LLMs are a trigger that encourages companies to utilize all of the unstructured data that they typically ignore because it’s hard to work with. LLMs are a gateway to this content, but powerful NLP that can tear apart unstructured and semi-structured content by speakers, regions, or problem areas will bring the diagnostic abilities of LLMs to the next level.