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o1-pro is probably the best model i've used for coding, hands down i gave it a pretty complicated codebase and asked it to refactor while referencing docs the difference between claude/gemini/o1 and o1 pro is night and day. first time in a while i've been this impressed. full comparison...

255,348 просмотров • 1 год назад •via X (Twitter)

Комментарии: 10

Фото профиля Sully
Sully1 год назад

On youtube as well

Фото профиля Dino
Dino1 год назад

I wish you didn't have to manually upload the codebase for O-1 Pro Mode. I'd pay $200 to have it in Cursor or Github Copilot.

Фото профиля Sully
Sully1 год назад

yeah.. this is the most annoying thing iMO please integrate with ide

Фото профиля Luis Roque
Luis Roque1 год назад

I don’t think it justifies the 10x

Фото профиля Sully
Sully1 год назад

remains to be seen

Фото профиля Matt Ferrante
Matt Ferrante1 год назад

People are quickly going to find ways to justify $200/month for this. It would be interesting to see you actually try to implement each of the solutions and compare. And I’d love to get o1 pro in an ide, copying and pasting sucks

Фото профиля Sully
Sully1 год назад

Yeah honestly once it’s in an ide it’s gonna be 10x more useful

Фото профиля Jordan Thibodeau
Jordan Thibodeau1 год назад

:) welcome home brother. For the non coding proletariat I did a side by side comparison:

Фото профиля Sully
Sully1 год назад

🫡

Фото профиля Sid Bharath
Sid Bharath1 год назад

I wasn’t expecting that. I compared o1 with Claude and found Claude to be way better. o1 made mistakes even when generating the openai api call

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OpenAI just announced API access to o1 (advanced reasoning model) yesterday. I'm delighted to announce today a new short course, Reasoning with o1, built with OpenAI, and taught by Colin Jarvis, Head of AI Solutions at OpenAI, to show you how to use this effectively! 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. It is great at complex reasoning -- including planning for agentic workflows, coding, and domain-specific reasoning in STEM fields like law. But how you should use it is quite different from other LLMs. I think o1 will be a game changer for many AI applications; and in this course, you'll learn how to use it effectively. In detail, you’ll: - Learn to recognize what tasks o1 is suited for, and when to use a smaller model, or combine o1 with a smaller model - Understand the new principles of prompting reasoning models: Be simple and direct; no explicit chain-of-thought required; use structure; show rather than tell - Implement multi-step orchestration in which o1 plans, and hands tasks over to gpt-4o-mini to execute specific steps; this illustrates a design pattern to optimize intelligence (accuracy) and cost - Use o1 for a coding task to build a new application, edit existing code, and test performance by running a coding competition between o1-mini and GPT 4o - Use o1 for image understanding and learn how it performs better with a "hierarchy of reasoning," in which it incurs the latency and cost upfront, preprocessing the image and indexing it with rich details so it can be used for Q&A later - Learn a technique called meta-prompting, in which you use o1 to improve your prompts. Using a customer support evaluation set, you'll iteratively use o1 to modify a prompt to improve performance You'll also learn about how OpenAI used reinforcement learning to produce a model that uses "test-time compute" to improve performance. I think you'll find this course enjoyable and valuable. Please sign up for it here:

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357,401 просмотров • 1 год назад