AI Modeling Explainable AI Generative AI Natural Language Processing 
IBM Journey to AI blog
JUNE 26, 2023
Possibilities are growing that include assisting in writing articles, essays or emails; accessing summarized research; generating and brainstorming ideas; dynamic search with personalized recommendations for retail and travel; and explaining complicated topics for education and training. What is generative AI?
Unite.AI
JANUARY 12, 2024
The field of artificial intelligence (AI) has seen tremendous growth in 2023. Generative AI, which focuses on creating realistic content like images, audio, video and text, has been at the forefront of these advancements. Enhancing user trust via explainable AI also remains vital.
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IBM Journey to AI blog
FEBRUARY 9, 2024
2022 was the year that generative artificial intelligence (AI) exploded into the public consciousness, and 2023 was the year it began to take root in the business world. The evolution of generative AI has mirrored that of computers, albeit on a dramatically accelerated timeline.
IBM Journey to AI blog
OCTOBER 16, 2023
Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data. The development and use of these models explain the enormous amount of recent AI breakthroughs.
IBM Journey to AI blog
SEPTEMBER 20, 2023
Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications. IBM watsonx consists of the following: IBM watsonx.ai
IBM Journey to AI blog
AUGUST 11, 2023
Automate the ML lifecycle—Once the models are built, trained and tested, teams set up the automation within ML pipelines that create repeatable flows for an even more efficient process. How generative AI is evolving MLOps The release of OpenAI’s ChatGPT sparked interests in AI capabilities across industries and disciplines.
NVIDIA
DECEMBER 13, 2023
And generative AI in the hands of fraudsters only promises to make this more profitable. AI for fraud detection uses multiple machine learning models to detect anomalies in customer behaviors and connections as well as patterns of accounts and behaviors that fit fraudulent characteristics.
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