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OpenAI API Platform Reviews and Ratings

Rating: 9.3 out of 10
Score
9.3 out of 10

Reviews

3 Reviews

OpenAI API Platform from an RD perspective

Rating: 8 out of 10
Incentivized

Use Cases and Deployment Scope

We have utilized the OpenAI API platform to develop document data extraction and analysis capabilities. Also for agenting and chatbot applications as well as speech-to-text capabilities. So, I think you could say that we have used a very large scope of features from the API in our products and services.

Pros

  • The developer experience is top notch. Their SDKs are super easy to use
  • Organization and project billing separation. You know where everything was consumed.
  • Playground. The playground is super useful to prototype without writing a single line of code

Cons

  • I would like to be able to make structured outputs in prompts with pdfs included.
  • The speech to text model (whisper) can be found in other inference providers like Groq for a cheaper price
  • The rate limits can be a bit steep if you neeed to roll out quickly

Likelihood to Recommend

I would recommend it from junior to senior developers and in a non cost sensitive scenario. There can be found other models, like the Google Gemini model family, with almost the same performance but at a fraction of the cost. If the use case needs every bit of performance possible, I would definitely recommend the OpenAI API Platform.

VU
Verified User
Program Manager in Engineering (11-50 employees)
Vetted Review
OpenAI API Platform
3 years of experience

Great for lean develpment with LLMs

Rating: 10 out of 10
Incentivized

Use Cases and Deployment Scope

There is a need for a knowladge-base and the custom LLM APIs generally don't respond as fast. OpenAI's API is fast and the answers are better structured comapred to other LLM models. We use RAGs and fine-tuning and both are supported by the OpenAI API. There are different options to optimize for speed, cost or quality of the answers.

Pros

  • Consistent answers, the temperature control works well to limit halusination.
  • Speed is a major advantage.
  • Fast development process. It is a turnkey solution and don't require much development.

Cons

  • Cost improvement
  • better support for different files.
  • Multi-media integeration

Likelihood to Recommend

For smaller organizations that run lean and would like to get to deploy a solution quickly. This is a solution that is easy and quick to develop. It has a good amount of customization. However, for advanced customization this might not be a good solution. I suggest experimenting with OpenAI API and then if the experimentation is successful then it is a good idea to optimize and try other LLM models.

FM
Farrokh Mansouri
Head of Data Science in Research & Development at COMMB (11-50 employees)
Vetted Review
OpenAI API Platform
2 years of experience
Verified on LinkedIn

My Openai whit Wenesday by it.lopez-be.ch und lopez.codes

Rating: 10 out of 10
Incentivized

Use Cases and Deployment Scope

My model, Wensday, assists me in a lot of tasks with NLP and NLU (Neuroscience Literature Understanding). It's possible for me as one person to multiply the efficiency with Wensday's help. Additionally, I have deployed my own infrastructure and several components such as containers and VPNs to further enhance my capabilities. These deployments have allowed me to streamline processes and improve the overall functioning of my work environment. With the combination of Wensday and my deployed infrastructure, I am able to handle complex tasks with ease and achieve optimal results.

Pros

  • Codes
  • Text
  • Images
  • Sound

Cons

  • Restrictions are sometimes too strong

Likelihood to Recommend

Evolving own Business.

NL
Nelson Lopez
CEO (Chief Executive Officer) in Research & Development at it.lopez-be.ch (1-10 employees)
Vetted Review
Reseller
OpenAI API Platform
3 years of experience
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