OpenAI just lately launched o1 and o1 professional of their 12 Days of OpenAI – Stay updates, providing limitless entry by way of a $200 ChatGPT Professional subscription. With a lot hypothesis surrounding their capabilities, I questioned – Is that this premium subscription well worth the funding? To reply this, I pitted these two AI fashions towards one another in six difficult duties. This text explores their strengths, weaknesses, and general efficiency. By the tip, you’ll have a transparent understanding of whether or not the $200 ChatGPT Professional subscription is the fitting alternative for you or not!
Problem 1. Fixing a Zebra Drawback
As the primary take a look at of o1 vs o1 professional, I’m taking a zebra downside – onerous degree from this web site. Let’s see which one cracks it higher!
Immediate:
Clear up this zebra downside:
o1 Resonse:
Placing this resonse as the answer, it seems to be incorrect:
o1 professional Response:
Placing this resonse as the answer, it seems to be appropriate:
Remark:
o1 professional took far more time than o1 to reply. o1 fails to resolve the issue, whereas o1 professional succeds!
Verdict:
o1 ❌ | o1 professional ✅
Problem 2: Discover Distinction
Immediate:
Discover 3 variations within the two photos:
o1 Response:
- Merchandise in hand: Within the left picture, she’s holding a spoon. In the fitting picture, she’s holding an ice cream cone as an alternative.
- Hair accent: Within the left picture, her hair is apparent. In the fitting picture, she is sporting a small pink bow in her hair.
- Background object: Within the left picture, there’s a inexperienced stitching machine on the shelf behind her. In the fitting picture, the stitching machine is changed by a easy inexperienced field (or body).
Remark:
Solely the second distinction is appropriate which is the hair accent lacking, relaxation 2 are incorrect.
o1 professional Response:
- The lady’s coiffure accent: In the fitting picture, she has a pink bow in her hair, which isn’t current within the left picture.
- What she’s holding in her hand: Within the left picture, she’s holding a spoon. In the fitting picture, she’s holding an ice cream cone as an alternative.
- The colour of the center scoop within the ice cream bowl: Within the left picture, the center scoop is pink, whereas in the fitting picture, that scoop has turned white.
Remark:
Solely the primary distinction is appropriate. Relaxation 2 are incorrect.
Each o1 and o1 professional weren’t capable of reply correctlty. Nonetheless, o1 was sooner in producing the response.
Verdict:
o1 ❌ | o1 professional ❌
Problem 3: Clear up a Math Drawback
On this problem, I will likely be giving a computing Indefinite Integrals downside to the fashions. Let’s see which one is ready to resolve it!
Immediate:
Clear up this math downside:
o1 and o1 professional Response (Identical):
Remark:
Each the fashions supplied the proper reply however the o1 was a lot sooner than o1 professional to find the answer.
Verdict:
o1 ✅ | o1 professional ✅
Problem 4: Analyzing Article
Immediate:
Learn the article – https://www.analyticsvidhya.com/weblog/2024/07/building-agentic-rag-systems-with-langgraph/ to know the method of constructing a vector database for Wikipedia knowledge. Summarize the important thing steps in a concise method.
o1 Response:
o1 Professional Response:
Remark:
The “o1 professional response” is nearer to the precise implementation within the article. Right here’s why:
The article offers a way more detailed, step-by-step implementation involving:
- Utilizing particular libraries like LangChain and OpenAI embeddings
- Loading Wikipedia knowledge from a particular archive
- Utilizing Chroma because the vector database
- Implementing superior RAG parts like:
- Question rephrasing
- Doc relevance grading
- Internet search integration
- A posh LangGraph workflow
The o1 professional response captures extra nuance by mentioning:
- Particular embedding fashions (sentence-transformers)
- Vector database choices
- Metadata storage
- Testing retrieval
- Integration with a RAG pipeline
In contrast, the preliminary “o1 response” is extra generic and lacks the technical depth demonstrated within the article. So the o1 professional response is considerably nearer to the article’s precise implementation, although nonetheless a simplified model of the great strategy detailed within the full article.
Verdict:
o1 ❌ | o1 professional ✅
Problem 5: Picture Creation
Immediate:
Create a picture of a cat.
o1 Response:
o 1 professional Response:
Remark:
Each o1 and o1 professional weren’t capable of generated photos indicating each the o1 variations don’t help picture technology. Nonetheless, on giving the identical immediate to GPT 4o, I obtained the response:
Therefore, it’s secure to say that solely GPT 4o is thrashing each o1 and o1 professional in picture technology!
Verdict:
o1 ❌ | o1 professional ❌
Problem 6: Making a Logical Circulate Chart
Immediate:
Create a complete move chart illustrating the Reflection Sample in Agentic AI.
o1 Response:
o1 Professional:
Each supplied incomplete move chats, so I made a decision to replace my immediate. Right here’s my up to date immediate:
New Immediate:
These are the steps concerned in reflection patter –
- Generate Preliminary Output
- Self-Overview/Critique the Output
- Determine Errors, Gaps, or Enchancment Areas
- Develop Enchancment Recommendations
- Revise/Refine the Output
- Repeat Steps 2-5 Till Passable Result’s Achieved
- Create a brand new move chart now
o1 Response:
o1 professional Response:
Remark:
Though the content material in each the responses is similar, o1 is definetly successful by offering an precise move chart, whereas o1 professional solely supplied the proper content material.
Verdict:
o1 ✅ | o1 professional ❌
Consequence Chart: o1 vs o1 professional
| Problem | Verdict |
|---|---|
| Zebra Drawback | o1 professional succeeded, however was slower |
| Discover Variations | Each fashions carried out poorly |
| Math Drawback | Each solved accurately, o1 was sooner |
| Analyzing Article | o1 professional supplied extra depth |
| Picture Creation | Neither may generate photos (GPT 4o may) |
| Making a Logical Circulate Chart | o1 gained by creating an precise move chart |
o1 professional appears to have a slight edge by way of problem-solving depth and accuracy, significantly in advanced duties like fixing the zebra downside and analyzing technical articles. Nonetheless, o1 tends to be sooner and performs effectively in less complicated duties.The decision seems to be that o1 Professional is marginally higher, particularly for extra advanced or technical challenges that require deeper understanding.
Additionally Learn: Is the New o1 Mannequin Higher than GPT-4o?
Finish Word
Whereas o1 professional exhibits promise in advanced problem-solving, it’s vital to think about your particular wants and price range. For fundamental to intermediate duties, GPT-4o or different extra reasonably priced alternate options would possibly suffice. Provided that OpenAI is frequently refining these fashions, it may be sensible to attend for additional updates earlier than making a definitive choice. If advanced problem-solving is a precedence and also you’re keen to take a position, o1 professional may very well be a beneficial instrument.
What are your ideas on this? Let me know within the remark part under.
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