Harnessing large language models (LLMs) for next-generation enterprise applications
This presentation will explore the role of large language model (LLMs) frameworks in bridging the gap between LLMs and enterprise solutions.
This presentation will explore the role of LLM frameworks in bridging the gap between LLMs and enterprise solutions. We will present three LLM applications: Retrieval Augmented Generation, Long Document Recursive Text Summarization, and Text to SQL Generation. These applications will help reduce LLM hallucination, overcome LLM token limits and facilitate various data format structured/un-structured answer generations. We will illustrate the solutions and demo results using public data.