Large language models have revolutionized the field of natural language processing and have numerous applications in various domains. However, the choice of deploying these models in the cloud or on-premise can greatly affect their performance, accessibility, and security. In this session, we will hear from two experts about their experiences with large language models in different deployment environments.
They will discuss the challenges of maintaining and scaling these models, as well as the importance of data privacy and security.
They will be addressing API access or lack thereof. They will discuss the benefits of scalability and accessibility. Through this session, attendees will gain a better understanding of the trade-offs and considerations when deploying large language models in different environments. They will also learn about the practical challenges and solutions for managing and accessing these models, and how to make informed decisions based on their specific needs and requirements.
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