Large Language Models
Last updated
Last updated
An LLM (Large Language Model) is a type of artificial intelligence designed to understand, generate, and respond to human language. These models are trained on massive amounts of text data, allowing them to learn patterns, context, and meaning in language. They can then generate text or respond to questions in a way that often feels natural and coherent.
In the context of Katara, an LLM serves as the foundation for building more advanced . Katara AI leverages base LLM models, which are pre-trained on broad data, and combines them with and specialized . This combination allows the creation of intelligent agents that can perform specific tasks and workflows. In essence, Katara AI tailors these general-purpose models to focus on particular domains or processes, making them more effective for specialized use cases.
Katara taps into the LLM's APIs and enables these models to do more, by extending their context, providing them more specialized data, and taking advantages of their individual strength to build more complex and help agents. LLM's are hard to manage, there is a balance between the cost and result that needs to be maintained, additionally the right queries at the right time will provide better outcomes.