5 days ago - Generative AI is artificial intelligence (AI) that can create original content in response to a user’s prompt or request.

July 21, 2025 - Generative AI refers to deep-learning models that can generate high-quality text, images, and other content based on the data they were trained on.

Create and deploy an AI-based application onto a web server using IBM Watson AI Libraries and Flask ... Explain the core concepts of generative AI, including large language models, speech technologies, and platforms such as IBM watsonX, and Hugging Face

November 17, 2025 - Generative AI is a type of AI that uses sophisticated models to generate new content according to an input prompt. The generative model is the computer program that employs data and algorithms to facilitate the practice of generative AI.

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November 17, 2025 - The training yields a neural network of billions of parameters encoded representations of the entities, patterns and relationships in the data that can generate content autonomously in response to prompts. This is the foundation model. This training process is compute-intensive, time-consuming and expensive. It requires thousands of clustered graphics processing units (GPUs) and weeks of processing, all of which typically costs millions of dollars. Open source foundation model projects, such as Meta's Llama-2, enable gen AI developers to avoid this step and its costs.

Experience generative AI in action with IBM SkillsBuild - unlock innovative solutions and insights using cutting-edge artificial intelligence techniques.

November 17, 2025 - But generative AI is not predictive AI. Predictive AI is its own class of artificial intelligence, and while it might be a lesser-known approach, it’s still a powerful tool for businesses.

March 7, 2025 - IBM-Generative-AI is a Python library built on IBM's large language model REST interface to seamlessly integrate and extend this service in Python programs. - IBM/ibm-generative-ai

The badge earner is able to competently engage in conversations with clients about generative and agentic AI technology, capabilities, value, risks, and ethical concerns. They are able to use the generative and agentic AI capabilities of IBM Consulting Advantage to be more productive and to create higher quality work products and client solutions.

October 17, 2024 - With generative AI, IBM is pushing beyond traditional machine learning to develop systems that can perform complex reasoning tasks and produce new data types, such as images or text, that mimic human creativity.

September 10, 2024 - You will understand the applications of generative AI in industries such as IT, finance, healthcare, education, entertainment, and human resources. You will also discover the features of popular tools and models, including GPT, DALL-E, Stable Diffusion, and Synthesia. Hands-on labs provide opportunities to practice using IBM Generative AI Classroom and tools such as ChatGPT.

The IBM Institute for Business Value uses data-driven research and expert analysis to deliver thought-provoking insights to leaders on the emerging trends that will determine future success.'

October 7, 2023 - IBM's Generative AI is a powerful tool that includes a variety of models such as GANs, transformer-based designs and variational auto-encoders. By utilizing deep learning methods, the company seeks to use this technology to generate outputs ...

... IBM watsonx.ai is the next-generation enterprise studio for AI builders – bringing together new generative AI capabilities and traditional machine learning into a powerful studio spanning the AI lifecycle.

February 19, 2025 - This article dives into the key highlights and my observations from the event. ... Let’s get grounded amidst all the hype. Generative AI (GAI) is a form of AI that employs deep learning models to generate content based on user input.

November 17, 2025 - Today, smartphones have become essential tools for individuals and organizations worldwide, driving connectivity and productivity. The next paradigm-shifting new technology? AI (artificial intelligence), particularly generative AI, which is revolutionizing how we do business and interact with tech.

November 17, 2025 - Data analysis: Generative AI can analyze vast amounts of data and use that analysis to discover patterns and trends. The gen AI models can streamline complex workflows, especially when it comes to the supply chain and drive a better customer experience. Adaptability: Gen AI can adapt its outputs based on the input it receives from the user. If the user is providing specific feedback to the model the outcome shifts to align more to what the user is seeking and in turn refine the output.