Generative AI | News, how-tos, features, reviews, and videos
Azure AI Studio, while still in preview, checks most of the boxes for a generative AI application builder, with support for prompt engineering, RAG, agent building, and low-code or no-code development.
Great documentation is important for humans, but more so for machines. The concept of ‘tiered documentation’ means that both developers and LLMs get what they need.
A new firm, founded by a former Stability AI executive, is providing certifications to generative AI systems, which have been trained on “consented” data.
Pinecone expects its new serverless vector database to cater to demand around generative AI while reducing costs and the need to manage infrastructure.
Best for individuals, Copilot Pro brings advanced help with writing, coding, design, and more, and works across devices.
There is so much interest in GPUs for generative AI deployment and for some good reasons. However, in some cases, they are overkill and too expensive.
AWS researchers have published a paper that pitches a proprietary LLM-based debugger, dubbed Panda, against OpenAI’s GPT-4.
The first wave of generative AI-augmented software testing and automation tools has arrived. Here’s how QA and devops teams will measure their impact.
Ever-larger datasets for AI training pose big challenges for data engineers and big risks for the models themselves.
Rate limits mean everyone is waiting for better compute resources or different generative AI models.