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Number of IBM Clients requesting capabilities requiring more than 900 tokens output and/or larger than 4k Context Windows. The following use cases have come up that require the increased context window. Client names available upon request Complex ...
Db2 type connection to support user specific connection hook parameters
Our Db2 database requires additional user specific parameters for a connection.Format: jdbc:db2://<<server>>:<<port>>/<<database>>:clientApplicationInformation=<<xxxxx>>;clientAccountingInformation=&...
OOTB Integration of watsonx.ai with watsonx.data for fine-tuning foundational models for the organization
Our customer participated in watsonx.ai early adoption program, however, they have raised critical points required for Enterprise consumption of foundational models. This is a roadblock to their adoption of watsonx. One of them is the OOTB Integra...
CP4D: Watson Pipeline High Availability (HA) and disruption free upgrades during version /OCP upgrades.
Our customer is requiring a “highly available” deployment (described as 99.5% up time) to support a business critical workload. They are using many of cloud Pak for data services. However , they are running few mission critical data analytics pipe...
Desjardins has a data scientist team and they would like to customize Spark images for various data scientist. Similar to what is documented here, but with Spark https://www.ibm.com/docs/en/cloud-paks/cp-data/4.6.x?topic=environments-building-cust...
In the prompt lab, I would like to have a 4th option to generated streamlit application
To streamline wow factor of the platform and increase starting with AI, the UI should be able to generate a sample/starter streamlit application, which will include the API with the prompt which will show the outcome This option could increase pro...
watsonx.ai to allow the clients to retrain or build their foundational models on IBM HPC (VELA)
Our customer participated in watsonx.ai early adoption program, and has raised critical points required for Enterprise consumption of foundational models. They want to build and retrain the foundational models in watsonx.ai hosted on IBM HPC compu...
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