Artificial Intelligence | News, analysis, features, how-tos, and videos
The cloud computing market is just the latest of many historical precedents showing that markets coalesce around a few big companies.
GenAI is undoubtedly changing how data scientists and analysts work, including tools, processes, and deliverables. Here’s what data scientists can do now to prepare.
Recent advances in AI, such as foundation models, make it possible for smaller companies to build custom models to make predictions, reduce uncertainty, and gain business advantage.
OpenAI’s latest generative AI model is much better at code generation than previous models, but slower and more expensive — and not quite ready for production.
Smaller and faster variant of 1.5 Flash features half the price, twice the rate limits, and lower latency on small prompts compared to its forerunner.
The updates could help OpenAI compete better with rivals such as Anthropic, Google, and AWS which already offer similar capabilities.
Realtime API supports multi-model text and speech experiences including natural speech-to-speech conversations using preset voices already supported in the API.
Spring’s ambitious new enterprise AI framework provides a familiar entry point for Java developers getting started with generative AI. It also leverages Java's strengths as a time-tested enterprise integration platform. Let's get star
OpenAI library for .NET provides full OpenAI REST API support and full support for OpenAI flagship models including GPT-4o, GPT-4o mini, o1-preview, and o1-mini.
Torchao is a PyTorch native library that makes machine learning models faster and smaller for training or inference by leveraging low-bit dtypes, sparsity, and quantization.