DeepLearning.AI has released a new, free short course titled ‘Reasoning with o1’. The course is introduced in partnership with Colin Jarvis, head of AI solutions at OpenAI.
“Unlike previous language models which generate output directly, o1 thinks before it responds and generates many reasoning tokens before returning a more thoughtful and accurate response,” DeepLearning.AI founder Andrew Ng said on his Linkedin.
Recently, OpenAI announced API access to its o1 model, a reasoning-focused AI designed for advanced tasks such as workflow planning, coding, and domain-specific problem-solving.
This is interesting as OpenAI hopes to release a smarter, more accelerated version in the 0-series models, o3, today. “Fine one clue, should have said oh oh oh,” OpenAI chief Sam Altman posted on X, hinting about the release of the next model.
The course teaches users how to optimise o1’s capabilities. It covers task identification, new prompting techniques, multi-step orchestration with models like GPT-4o-mini, coding applications, and image understanding. It also introduces meta-prompting, where o1 refines prompts for improved results. The course highlights how reinforcement learning enhances o1’s performance, preparing users to leverage the model effectively in AI applications.
DeepLearning.AI currently offers over 50 free, concise courses on effective and safe techniques for deploying generative AI products. The platform also provides specialised courses and programmes on a wide range of topics, including data engineering, machine learning, and deep learning.
Andrew has played a pivotal role in making AI education accessible. He has reached over 7 million learners worldwide who use the platform to stay ahead in their careers. Notably, he is also a co-founder of Coursera and was recently appointed to Amazon’s board of directors.
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