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OpenAI Model Selection and Integrations

OpenAI publishes several large language models (LLMs), each optimized for different use cases. This course teaches you how to select the right model to balance performance, accuracy, and cost.

Tim Warner - Pluralsight course - OpenAI Model Selection and Integrations
Tim Warner
What you'll learn

OpenAI offers customers access to their world-leading large language models and APIs via a straightforward REST interface. The developer's challenge lies in choosing the right model for the right use case. In this course, OpenAI Model Selection and Integrations, you’ll gain deep familiarity with the OpenAI model family and which to choose, when. First, you’ll differentiate the models themselves. Next, you’ll discover how to balance performance, accuracy, and cost. Finally, you’ll understand how context windows work and how to optimize your applications for the least cost and maximum effectiveness. When you’re finished with this course, you’ll have the skills and knowledge of the OpenAI models needed to provide generative AI power to your line-of-business solutions in a performant and cost-effective manner.

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About the author
Tim Warner - Pluralsight course - OpenAI Model Selection and Integrations
Tim Warner

Tim Warner is a Microsoft Most Valuable Professional (MVP) and Microsoft Certified Trainer (since 1997) with nearly three decades of experience as an IT professional and technical educator.

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