Harnessing large language models (LLMs) for next-generation enterprise applications

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.

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Fine-tuning generative large language models
Fine-tuning generative large language models

In this presentation, we go over three fine-tuning techniques, namely Instruction fine-tuning, Domain ada...

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Accelerate ML innovation with Amazon SageMaker JumpStart
Accelerate ML innovation with Amazon SageMaker JumpStart