IBM Data and AI Ideas Portal for Customers


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watsonx.ai

Showing 197
155 VOTE

Regarding Mistral Large, I would like the context size to be able to use up to the model size limit (128K) in order to implement RAG & Agentic applications.

There are the following limitations when using Mistral Large via watosonx.ai. Mistral Large model limit: 128K watsonx.ai limit: 32K https://dataplatform.cloud.ibm.com/docs/content/wsj/analyze-data/fm-models.html?context=wx#mistral-large Currently,...
13 days ago in watsonx.ai 1

Custom Image Approach to Integrate Advanced IDEs such as PyCharm or Visual Studio Code (VSCode) in Watsonx/CP4D

In the Graphical User Interface (GUI) of Watsonx/CP4D, Python development is currently facilitated through Watson Studio Notebook and JupyterLab Integrated Development Environment (IDE). While these tools are sufficient for many users, more techni...
16 days ago in watsonx.ai 0 Submitted

Keep and maintain at least 2 or 3 Python and R runtime versions in each release of CP4D

Multiple companies and industries work with CP4D for data science models. These models use multiple versions of Python or R runtimes and different open-source libraries that are compatible with the runtime version used to build the model. Clients ...
8 months ago in watsonx.ai 1 Not under consideration

Add ability to modify the default, or create custom, deployment configurations for pods that are created when a deployment is pushed from the watson.ai UI

Add the ability to modify the default, or create custom, deployment configuration specs for pods that are created when a deployment is pushed from the watson.ai UI For example, when troubleshooting issues with deployments, or assets that are deplo...
about 1 month ago in watsonx.ai 0 Submitted

Allow to use the Prompt Tuning feature from the Tuning Studio with any model

Model evolution is very fast. The client wants to leverage the last models as soon as they are released. Being able to prompt tune them is key to clients since: - it is a quick win to improve prompt engineering - does not requires a lot a time and...
6 days ago in watsonx.ai 0 Submitted

Support for mixed MIG strategy in a single GPU node

Clients have heterogeneous GPU infrastructure. They are using A30 (un dev environment only), A100 and H100. They have GPU servers that have 8 x A100 GPU on it. These GPU servers are bare metal worker nodes on their Openshift clusters. Since they u...
6 days ago in watsonx.ai 0 Submitted

Unrestricted context window for Mistral Large and Llama Models for watsonx.ai Software/ on-prem

One of the differentiators of Mistral large is its large context window. In watsonx however, we restrict this context window for Mistral and Llama models because of performance reasons, see here: https://www.ibm.com/docs/en/watsonx/w-and-w/2.0.x?t...
about 2 months ago in watsonx.ai 0 Functionality already exists

Have an Auditor role in watsonx.ai

As an Auditor, I need to be able to see all the AI models that exist in the organization so I can be sure we know all of them and can audit them for any risks and account for their existance. The priority for me would be to support this first in I...
about 2 months ago in watsonx.ai 1 Under review

wx.ai Synthetic Data - Allow the user to insert formulas and code to generate synthetic data

Currently, wx.ai Synthetic Data works with the statistical model identified in the source column and generates the data according to the identified pattern without allowing customization by the user. For example, if the column contains numbers the...
4 months ago in watsonx.ai 0 Under review

wx.ai Synthetic Data - Generating synthetic data using information from more than 1 source at the same time

Currently, wx.ai Synthetic Data allow to consume data from only 1 table in a relational database or 1 csv file at a time. This limitation prevents the user from generating synthetic data using information from more than 1 source at the same time.I...
4 months ago in watsonx.ai 0 Under review

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