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. 2024 thus stands to be a pivotal year for the future of AI, as researchers and enterprises seek to establish how this evolutionary leap in technology can …
Enterprises are seeking to quickly unlock the potential of generative AI by providing access to foundation models (FMs) to different lines of business (LOBs). IT teams are responsible for helping the LOB innovate with speed and agility while providing centralized governance and observability. For example, they may need to track the usage of FMs across …
Given Altman’s impressions, it makes a lot of sense that OpenAI already shipped a visionOS version of the ChatGPT app last week.Read More
Ditch the cards and flowers. Gift yourself or your partner(s) something more buzz-worthy.
A team of AI researchers at Google’s DeepMind project, working with a colleague from the University of Southern California, has developed a vehicle for allowing large language models (LLMs) to find and use task-intrinsic reasoning structures as a means for improving returned results.
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This article was written by Gemini Advanced (Ultra 1.0) on the day of its public release. Hey Gemini, tell me about yourself Absolutely! Here’s a bit about me: What I am: A Large Language Model (LLM): I’m a complex computer program designed to process and generate text. I’ve been trained on a massive dataset of …
We’re bringing Gemini to more Google products.
The term ESG, or environmental, social and governance, is well-known in the investor community. It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. But while the term ESG was first coined in 2004 by the United Nations …
Read more “The history of ESG: A journey towards sustainable investing”
Generative AI agents are a versatile and powerful tool for large enterprises. They can enhance operational efficiency, customer service, and decision-making while reducing costs and enabling innovation. These agents excel at automating a wide range of routine and repetitive tasks, such as data entry, customer support inquiries, and content generation. Moreover, they can orchestrate complex, …