What you'll Learn
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Grasp the evolution, core features, and how OpenAI o3-mini differs from standard large language models.
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Explore o3-mini’s performance on various benchmarks and compare it with other state-of-the-art (SOTA) LLMs.
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Conduct real-world tasks and compare o3-mini’s reasoning capabilities against similar SOTA models in practical hands-on examples.
About the Instructor
Dipanjan Sarkar - Head of Community and Principal AI Scientist, Analytics Vidhya
Dipanjan Sarkar is a distinguished Lead Data Scientist, Published Author, and Consultant, having a decade of extensive expertise in Machine Learning, Deep Learning, Generative AI, Computer Vision, and Natural Language Processing. His leadership spans Fortune 100 enterprises to startups, crafting end-to-end data products and pioneering Generative AI upskilling programs. A seasoned mentor, Dipanjan advises a diverse clientele, from novices to C-suite executives and PhDs, across Advanced Analytics, Product Development, and Artificial Intelligence.
Who Should Enroll?
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AI practitioners, software developers, and system architects aiming to deepen their understanding of multi-agent systems.
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Learners enthusiastic about entering the world of collaborative AI systems and mastering LangGraph to lead innovative projects in technology.
FAQ
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What is OpenAI o3-mini?
OpenAI o3-mini is the most cost-effective reasoning model available in both ChatGPT and OpenAI. It supports structured output, function calling, and Batch API, while excelling in STEM, coding tasks, and logical reasoning.
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How is OpenAI o3-mini different from earlier GPT model versions?
OpenAI's o3 Mini is the most cost-effective reasoning model available in both ChatGPT and OpenAI than earlier GPT model versions.It excels in: Structured output generation Function calling Batch API processing STEM, coding tasks, and logical reasoning
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Are there hands-on exercises?
Absolutely! You’ll test-drive o3-mini within ChatGPT as well as using its APIs in Python, practice problem solving real-world tasks, and compare its capabilities to other reasoning LLMs like OpenAI o1 and DeepSeek R1 in practical hands-on exercises.
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Will the course cover performance benchmarks?
Yes. You’ll learn how o3-mini was compared on various benchmarks and see how it measures up against other state-of-the-art large language reasoning models like OpenAI o1 and DeepSeek R1.
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Is o3-mini part of GPT-3.5 or GPT-4?
It’s a specialized variation built on GPT foundational models leveraging reinforcement learning and chain of thought, but with optimized features like reasoning and performance tailored for specific tasks.
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Will I get a certificate of completion?
Yes, a certificate will be awarded upon successful completion of the course and assessments.