Not unlike others, IBM is initially unveiling a LLM-based offering for text-based applications, as well as a code generating and reviewing tool. Finally, ernance is a tool for tracking the process of the model's creation, providing an auditable record of all the data going into the model, how it's created and more.Īnother part of IBM's announcement was the debut of several of its own foundation models that can be used with the watsonx toolset or on their own. Watsonx.data, is a datastore optimized for AI workloads that's used to gather, organize, clean and feed data sources that go into those models. Notably, companies can use it to create original models or customize existing foundation models. Watsonx.ai is the core AI toolset through which companies can build, train, validate and deploy foundation models. The initial iteration of watsonx consists of three key components – watsonx.ai, watsonx.data and ernance – that are designed to work together, but in the spirit of IBM open-ness and interoperability, can also work with similar components from other vendors. In the process, they're also hoping to reinvigorate the entire IBM software story. With watsonx, IBM is inserting a critical new layer of capabilities into the heart of their software stack and hybrid cloud platform. The original Watson system was arguably much of the world's introduction to artificial intelligence. IBM certainly isn't new to the world of AI. They reflect the tool-focused, open technical heritage of the company as well as a great deal of work being done by IBM Research. At their annual Think conference in Orlando, they unveiled a range of new AI offerings that have a clear sense of "IBM-ness" to them under the new moniker watsonx. Such is the case with IBM, the most recent entrant to the generative AI product and service world. Of course, this is not terribly surprising in one way, but it also seems to reflect the fact that many of these generative AI efforts represent substantive changes emanating from the core of each company's ethos and overall philosophy. As these debuts start to roll out, it's interesting to note how each company is taking a unique angle related to their organization's product history and their overall view of and approach to the tech world. In context: With the surge of news and excitement surrounding AI, it appears that virtually every major tech company has either released or is on the verge of announcing their efforts in this burgeoning new area.
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