The free DeepLearning.AI course "Reasoning with o1" explains how to perform reasoning using o1.

What is Reasoning with O1?

Reasoning with o1 is OpenAILaunched in collaboration with Andrew NgfreeThis course focuses on developing deep reasoning skills. It aims to teach developers how to effectively utilize the O1 model for advanced reasoning tasks, including planning, coding, and visual reasoning. The O1 model is renowned for its superior performance on abstract reasoning tasks, particularly coding and visual reasoning. The course covers the workings of the O1 model, best-practice scenarios, and how to optimize hints to improve model performance. By learning this course, developers will master how to identify suitable tasks for the O1 model and learn how to apply it effectively.intelligentFind a balance between cost and profit.

What you will learn from Reasoning with o1

• Learn about o1, how it works, its performance, and the best scenarios for using it.
• Learn how to effectively prompt o1 and when to delegate tasks to more cost-effective, lower-latency models.
• Learn how o1 excels in coding and visual reasoning tasks, and how to apply meta-hints to optimize your application.

This course is about Reasoning with o1

Learn how to effectively prompt and use Open in “Using o1 Reasoning”.AI The o1 model, which is related to OpenAI Short courses developed in collaboration with OpenAI of AI The course was conducted by Colin Jarvis, the solutions manager.

The o1 model performs exceptionally well on abstract reasoning tasks and has achieved record-breaking performance on domain-specific reasoning tasks such as planning, coding, analysis, and law, as well as other STEM subjects.

In this course, you will learn about OpenAI How can reinforcement learning be used to generate a model that improves performance on many inference tasks using "test-time computation"? Understand what "thought chains" are and how O1 autonomously uses them to break down problems into smaller steps, try multiple strategies, and carefully consider answers before responding.

Specifically, you will:

• Learn to identify o1 What tasks are the models suitable for, and when might it be necessary to use smaller or faster models or combine both?
• Learn how to use o1 The four key principles of the prompt, starting from "SimpleFrom "direct" to "showing rather than telling," and explore the differences in presentation.
• Implement a multi-step taskIn this model, o1 acts as the coordinator, creating a plan and assigning it to the 4o-mini model for sequential execution, balancing the process.intelligentThe trade-off between cost and profit.
• Use o1 to perform encoding tasks:To build new applications, edit existing code, and through o1-mini and GPT A coding contest was run between the four teams to test performance.
• Image understanding using o1And understand how it achieves better performance through hierarchical reasoning, where it incurs latency and cost upfront, preprocesses images and indexes them with rich details so that they can be used for question answering later.
• Learning a technique called meta-hintsYou can use o1 to improve your prompts. Using the customer support evaluation set, you can iteratively use o1 to modify prompts for improved performance.

Reasoning with O1 Course Address

• Course address:reasoning-with-o1

Reasoning with O1 is suitable for:

• People with basic Python knowledgeThe course content involves coding tasks and image understanding, so a certain level of Python programming knowledge is required.
• familiarLLM(Large-scale language model) prompts and application development groupsThe course aims to help learners understand and effectively use Open.AIThe O1 model is used for complex inference tasks, including task planning and code generation.
• People interested in developing deep reasoning skillsThe course focuses on developing deep reasoning skills and is suitable for learners who want to gain a deeper understanding and use O1 for complex reasoning tasks.
• haveLLMPeople with application development experienceThe course content covers the core features of the O1 model, prompting techniques, task planning and execution, coding tasks and image understanding, etc., and is suitable for learners with relevant experience to study in depth.

Reasoning with O1 Course Syllabus

• introduce Video - 3 minutes
• o1 Introduction Video - 11 minutes
• Hint o1 with code example Video - 12 minutes
• Planning with o1 Video with code examples - 13 minutes
• Encoding using o1 Video with code examples - 7 minutes
• Image reasoning Video with code examples - 9 minutes
• Meta hint Video with code examples - 12 minutes
• in conclusion Video - 1 minute
• appendix – Tips, Help, and Downloads Code Example • 1 minute

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