Seems to me that IBM is trying to differentiate their AI from others by offering a complete solution that can be self-hosted.
The part that cannot be produced locally, the core model, IBM publishes the inputs and indemnifies. From there, IBM and RedHat provide a holistic solution for fine-tuning, pipelines, and a platform to run on (RHEL AI and OpenShift) that endeavors to "just work."
The fine-tunning tool can be used on any model from Huggingface. So could the pipeline tooling. IBM is saying that they are trying to build core models that are more friendly to fine-tuning. Smaller, faster, and more focused.
They are not trying to be OpenAI or Anthropic, but the IBM models could be a really nice fit for many applications.
Doubt many are excited about an AI feature from IBM.
Why not?
Seems to me that IBM is trying to differentiate their AI from others by offering a complete solution that can be self-hosted.
The part that cannot be produced locally, the core model, IBM publishes the inputs and indemnifies. From there, IBM and RedHat provide a holistic solution for fine-tuning, pipelines, and a platform to run on (RHEL AI and OpenShift) that endeavors to "just work."
The fine-tunning tool can be used on any model from Huggingface. So could the pipeline tooling. IBM is saying that they are trying to build core models that are more friendly to fine-tuning. Smaller, faster, and more focused.
They are not trying to be OpenAI or Anthropic, but the IBM models could be a really nice fit for many applications.