APP ON COMPUTER TO OPEN CARRIEREDITOR CODE
For example, fm.de powers Watson Code Assistant, IBM’s answer to Copilot, which allows developers to generate code using plain English prompts across programs including Red Hat’s Ansible.
APP ON COMPUTER TO OPEN CARRIEREDITOR SOFTWARE
IBM is using the models itself, it says, across its suite of software products and services. “It’s for use cases where people want to have their own private instance, whether on a public cloud or on their own premises.” “We allow an enterprise to use their own code to adapt models to how they want to run their playbooks and their code,” Arvind Krishna, the CEO of IBM, said in the roundtable. But IBM claims that the models are differentiated by a training dataset containing “multiple types of business data, including code, time-series data, tabular data and geospatial data and IT events data.” We’ll have to take its word for it. These might not sound novel on their face. And fm.model.geospatial makes predictions to help plan for changes in natural disaster patterns, biodiversity and land use, in addition to other geophysical processes. Fm.model.NLP comprises text-generating models for specific and industry-relevant domains, like organic chemistry. Similar to code-generating models like GitHub’s Copilot, fm.de lets a user give a command in natural language and then builds the corresponding coding workflow. The three that the company is highlighting at Think are fm.de, which generates code fm.model.NLP, a collection of large language models and fm.model.geospatial, a model built on climate and remote sensing data from NASA. (For its part, IBM is pledging to contribute open source AI dev software to Hugging Face and make several of its in-house models accessible from Hugging Face’s AI development platform.) It’s also partnering with Hugging Face, the AI startup, to include thousands of Hugging Face–developed models, datasets and libraries. In any case, IBM is offering seven pretrained models to businesses using Watsonx.ai, a few of which are open source. “And that is a key element of the horizontal capability that IBM is bringing to the table.” “You still need a very large organization and team to be able to bring innovation in a way that enterprises can consume,” Dario Gil, SVP at IBM, told reporters during the roundtable. IBM makes the case, however, that Watsonx is the only AI tooling platform in the market that provides a range of pretrained, developed-for-the-enterprise models and “cost-effective infrastructure.” On the Azure side, there’s Azure AI Platform. Amazon’s comparable product is SageMaker Studio, while Google’s is Vertex AI. Using Watsonx.ai, which IBM describes in fluffy marketing language as an “enterprise studio for AI builders,” users can also validate and deploy models as well as monitor models post-deployment, ostensibly consolidating their various workflows.īut wait, you might say, don’t rivals like Google, Amazon and Microsoft already provide this or something fairly close to it? The short answer is yes. Watsonx solves this, IBM asserts, by giving customers access to the toolset, infrastructure and consulting resources they need to create their own AI models or fine-tune and adapt available AI models on their own data. “AI may not replace managers, but the managers that use AI will replace the managers that do not,” Rob Thomas, chief commercial officer at IBM, said in a roundtable with reporters. Thirty percent of business leaders responding to an IBM survey cite trust and transparency issues as barriers holding them back from adopting AI, while 42% cite privacy concerns - specifically around generative AI. It’s a bit of a slap in the face to IBM’s back-office managers, who just recently were told that the company will pause hiring for roles it thinks could be replaced by AI in the coming years.īut IBM says the launch was motivated by the challenges many businesses still experience in deploying AI within the workplace. IBM, like pretty much every tech giant these days, is betting big on AI.Īt its annual Think conference, the company announced IBM Watsonx, a new platform that delivers tools to build AI models and provide access to pretrained models for generating computer code, text and more.
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