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As everyone prepares to jump headlong into generative AI and large language models, cloud will continue its strong performance.
At some point, cloud will be baked into all of IT—just another building block of how we automate business. All the more reason to get it right the first time.
The company has been trying out GPT-based features for its low-code platform, planning to add capabilities to streamline app development and offer guidance on best practices.
Google’s generative AI offering is now capable of helping developers write and debug code in 20 programming languages including Python and Typescript, the company said.
Digital twins have enormous potential for bridging IT and OT, but developing them is not cheap. Here's how to ensure a successful rollout.
The evolution of generative AI models will further lower barriers to using low-code and no-code development tools, and potentially lead to the birth of a whole new class of intelligent developer technology.
Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT.
Perhaps the biggest thing since open source or Google, LLMs may have companies fighting for supremacy, but it’s the developers who come out ahead.
The new AWS cloud service, Amazon Bedrock, is designed to let enterprises select foundation models for building their own generative AI applications for targeted use cases and commercial use.
Open-source based large language models like Dolly are in high demand as enterprises want to use them for targeted or specific use cases, analysts said.