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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.
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.
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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Offers insightful techniques for managing context windows.
Provides clear insights into choosing the right OpenAI model.
Learn to effectively reduce API spending.
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Skill IQ and Role IQ diagnostic benchmark assessments, hands-on lab environments, and curated learning paths designed by technology leaders.
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