Azure OpenAI Service vs. Hugging Face

The pricing doesn't seem fair to me if we compare the limitations and errors in the models. Also, they are currently working on new unified portal for all AI projects which is in beta preview. So, I guess we should wait until it matures, and fixes all the issues and should use once pricing and performance improves.

Incentivized

If an organisation has more access to data and have access to high end computers like GPUs it’s recommended to use Hugging face as it will give better accuracy than any other models. If an organisation having less data and has less access to GPUsis looking for decent performance then traditional algorithms are more appropriate than hugging face

Incentivized

• It's generative AI like ChatGPT but you get advanced models, so it's more powerful.
• You can use API to automate the process of Generative AI tasks.
• It also provides a sample script code on how we can use the API.

Incentivized

• Model APIs
• Hugging Face Spaces for deploying demo apps
• Latest updated models available easily
• Vast support for language parsing and other relevant tasks

Incentivized

• The user interface is similar to the Azure, so it's bit laggy, they should improve it.
• The chat models sometimes return nothing, I guess they are still testing them.
• The models we use have quota limitation on tokens and number of requests.

Incentivized

• Most of the Hugging face models are of big size, hence difficult to work if there is no access to high computational system like GPU.
• It’s good to have some visualization tool in hugging face for viewing model architecture.
• I recommend to implement hugging face lite version so that it can run on any system with less specifications.

Incentivized

Overall, Azure OpenAI services are not worth using, but only reason I used it because I got it under Startup sponsorship from Microsoft. Pricing is very high.

Incentivized

There are some other services offer similar capacity as to Hugging Face, but not entirely the same. For example, amazon web services have a machine learning service called Comprehend, which offer a set of easy to use APIs to do machine translation and entity recognition and some other common NLP use case.

Incentivized

• Honestly, I just started using it a few months ago, and I haven't seen any major benefits.
• It has almost similar capabilities as free version of ChatGPT, so it's worth paying for chat models unless we need to use API.
• ROI has not been impacted at all, as I mostly use free version over this to avoid higher charges.

Incentivized

• Hugging Face is cost and time saving.
• Pay is less, you pay what you use, doesn't affect much.
• Overall positive impact on business.

Incentivized