Generative AI | News, how-tos, features, reviews, and videos
The excitement and turmoil surrounding generative AI is not unlike the early days of open source, or the Wild West. We can resolve the uncertainty and confusion.
Microsoft’s Cognitive Search API now offers vector search as a service, ready for use with large language models in Azure OpenAI and beyond.
Zenhub is adding AI capabilities to automate task labeling, prioritize work, estimate completion dates, and provide insights into challenges and blockages.
Putting AI on cloud versus on-premises systems may seem like a simple decision, but it's much more complex (and potentially expensive).
Many low-code and no-code development and RPA platforms now include AI capabilities, often using a version of GPT.
Humans must be the custodians for preserving high-quality data as AI use continues to advance.
Google Cloud service combines Codey-powered AI assistance and templates for popular JavaScript frameworks in a cloud-hosted Linux VM. Google said support for Python, Go, and other languages is coming soon.
Generative AI isn't just for chatbots. Here are 10 ways AI and machine learning are transforming how we store, structure, and query data.
Prompt engineering is still telling a computer what to do. Studying large language models and the limits of generative AI will keep your job security.
Einstein Studio can also help enterprises connect their data from Salesforce Data Cloud to third-party AI offerings including Amazon SageMaker and Google’s Vertex AI for model training.