Very good products from IBM.
September 13, 2024

Very good products from IBM.

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM watsonx.ai

We use watsonx.ai to build an RFP bid automation system. We leverage the large language models available on watsonx.ai, such as Meta llama2, Meta llama3, and IBM Granite, to perform several steps of the RFP analysis process. The analysis includes profiling, question answering, etc. We also did some work with prompt tuning to classify the document sections.

Pros

  • The models are up to date.
  • New models are available almost immediately (such as llama 3.1).
  • It has an easy web interface.
  • It provides a ready-to-use model endpoints.

Cons

  • The prompt-tuned model sometimes fails; I need to try again in a few seconds for it to work. This happens often.
  • Prompt tune more up to date models (e.g: llama3 or llama3.1 instead of llama2 only).
  • Better documentation on how to use the endpoints.
  • The models I leveraged can convert unclear text into clear sentences that are ready to be presented to stakeholders.
  • The cost is so small compared to the benefits that it is considered a really good ROI.
  • The cost is also competitive compared with other llm solutions on the market.
I needed some time to understand the different parts of the web UI. It was slightly overwhelming in the beginning. However, after some time, it made sense, and I like the UI now. In terms of functionality, there are many useful features that make your life easy, like jumping to a section and giving me a deployment space to deploy my models easily.
This is actually my first job, and I haven't had any experience with products other than IBM's because I am working for an IBM business partner. However, we leverage Watson.data for other tasks, such as storing data or creating an elastic search database for all our documents and requests.

Do you think IBM watsonx.ai delivers good value for the price?

Yes

Are you happy with IBM watsonx.ai's feature set?

Yes

Did IBM watsonx.ai live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of IBM watsonx.ai go as expected?

Yes

Would you buy IBM watsonx.ai again?

Yes

Preparing a model for classification using a pre-trained model can be very easy. You just need to provide the data needed for training in a specific JSON format, and you can even use the default parameters for training. The results are really good and less costly than fine-tuning the whole model.

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