When everyone touts the benefits of generative artificial intelligence, telling the world how much easier it will make all of our lives, many developers who actually have to build those miracle apps are of a different opinion, according to a new survey sponsored by IBM. The survey gathered input from more than 1,000 enterprise developers…
As generative AI continues to surge in popularity, we are already seeing it evolve into the next generation of machine-learning-driven technology: agentic AI. With agentic AI, we are not just prompting models and receiving an answer in a simple one-step process. The AI is engaging in complex multi-step processes, often interacting with different systems to…
At a developers conference I attended not too long ago, attendees did little to hide their disdain every time the term “AI” was bandied about. (And it was bandied about a lot!) So I was careful on a recent call attended by about 250 engineers to preface the AI portion of the discussion with, “I know…
Since ChatGPT arrived in late 2022, large language models (LLMs) have continued to raise the bar for what generative AI systems can accomplish. For example, GPT-3.5, which powered ChatGPT, had an accuracy of 85.5% on common sense reasoning data sets, while GPT-4 in 2023 achieved around 95% accuracy on the same data sets. While GPT-3.5…
Generative AI is no longer a novelty in the software development world: it’s being increasingly used as an assistant (and sometimes a free agent) to write code running in real-world production. But every developer knows that writing new code from scratch is only a small part of their daily work. Much of a developer’s time…
Word that a group of former Google executives plans to build an operating system for AI agents underscores the fact that there is a distinction between what application platforms are doing with agents today and what an AI agent-first OS would entail, said industry analyst Brian Jackson. Jackson, principal research director at Info-Tech Research Group,…
There has been a lot of speculation about what generative AI can do for businesses. The possibilities are endless — streamlined creative processes, automated business operations, self-service for customers, and more. Indeed the productivity implications of generative AI are huge, prompting McKinsey to assert that the technology could add trillions of dollars in value to…
Anthropic’s Claude 3.5 Sonnet large language model has gained a new ability: operating a computer. The new ability, which the company is calling “computer use,” is currently in beta test. It enables developers to instruct Claude 3.5 Sonnet, through the Anthropic API, to read and interpret what’s on the display, type text, move the cursor,…
When IBM announced in May 2023 that its generative artificial intelligence tools were in use by its AI assistant, watsonx, to help enterprises modernize their mainframe applications by translating COBOL code into Java, it was just the beginning of its efforts to leverage generative AI for developers. The company has taken another leap forward with…
Many organizations are building generative AI applications driven by large language models (LLMs), but few are transitioning successfully from prototypes to production. According to an October 2023 Gartner survey, 45% of organizations are currently piloting generative AI, while only 10 % have fully deployed it. The lack of AI success is similar for enterprises, product…
