Testing the limits of generative AI
As part of the learning curve with AI and LLMs, experiment all you want, but take the results with some skepticism, especially if you’re using it to write your code.
As part of the learning curve with AI and LLMs, experiment all you want, but take the results with some skepticism, especially if you’re using it to write your code.
LangChain is a modular framework for Python and JavaScript that simplifies the development of applications that are powered by generative AI language models.
AI has the potential to raise productivity over the next decade, but we’re still some way from it transforming the enterprise in the short term.
IBM Granite series foundation models apply generative AI to natural language and coding tasks. Plus, Watsonx generative AI capabilities are coming to the Watsonx data lakehouse.
Dell Technologies has partnered with NCS to collaborate on localising generative AI solutions for enterprises across Asia Pacific and Japan.
In addition to controlling the use of ChatGPT and other standalone tools, companies now have to grapple with generative AI being built into the productivity apps their employees use every day.
Generative AI is ripe with opportunity, and CTOs are definitely paying attention. Here's how three technical leaders see the present and future of GenAI.
A new survey shows widespread awareness among developers of generative AI risks, but adoption for development tasks is increasing.
The agency move is part of an ongoing effort to gather public feedback on why AI can sometimes flagrantly use copyrighted materials to produce content. The agency plans to hand over its findings to Congress.
Both tech bigwigs are making a play for customers with genAI tools running in the cloud. But one company has a natural advantage.
GenAI is a small piece of the artificial intelligence pie, not the whole pie itself. Keep paying attention to deep learning and machine learning.
Code Llama is expected to take on foundation models from Microsoft, IBM, Google, and AWS.
Highlights include a private AI platform developed with Nvidia that lets enterprises run generative AI applications on their proprietary data within VMware’s hybrid cloud infrastructure.
Enterprises—and their technology vendors—continue to fall over themselves to add gen AI capabilities to tools and platforms. But moving too fast can expose companies to present and future compliance risks, as well as potential legal liabilities.
The global revenue opportunity for semiconductors designed for AI workloads is set to hit US$53.4 billion in 2023.
By Kalyan Madala, CTO, IBM ASEANZK