Generative AI | News, how-tos, features, reviews, and videos
Survey of 13,000 developers finds that most believe AI will reduce their workload and want to use AI more, but many remain skeptical.
OpenAI’s GPT store promises to expand the user base for the company and will contribute to the growing AI ecosystem.
Microsoft Research is experimenting with the development of tailored AI models that minimize resource usage.
GPT Store helps users find custom versions of ChatGPT developed by OpenAI partners and the community. A GPT builder revenue program is in the works.
Succeeding with generative AI requires the expertise to design new use cases and the ability to develop and operationalize genAI models. These are major challenges.
Our unrealistic expectations of genAI are like hoping a two-year-old will calmly act like an adult. Try patiently experimenting with prompts and spending ‘quality time’ with this developing technology.
GenAI offers an opportunity to make data integration and business process automation not only easier to implement, but accessible to non-technical staff. That spells relief for IT teams.
Cloud and AI are the most important technologies today, and both have outstripped open source licenses. It’s time for a new open source definition.
High-level skills such as validating and monitoring LLMs and learning the AI stack are good areas for technologists to tackle.
Model quantization bridges the gap between the computational limitations of edge devices and the demands for highly accurate models and real-time intelligent applications.