Choice between Pytorch and Tensor Still one of the most discussed decisions in the development of AI. Both frameworks have evolved dramatically since their inception, converging in certain areas while maintaining unique advantages. This...
Google Cloud recently launched five dedicated AI agents designed to simplify developer workflows – reducing manual work, speeding up analytics and reducing barriers to advanced data and code automation. From data pipeline orchestration to...
Model Context Protocol (MCP) As commonly described in the industry, it has quickly become a common standard for connecting AI models to a variety of applications, systems and tools,...
Microsoft has officially introduced it Co-pilot function In Excel for Windows and Mac, bring the power of large language models (LLM) directly into spreadsheets. This move represents a fundamental...
Evaluation of large language models (LLMs) is both scientifically and economically expensive. As the field competes towards more and more models, methods for evaluating and comparing them become increasingly important, not just benchmark scores,...
Why predictable routines make us seek digital risks Why predictable routines make us seek digital risks ...
Florence AI is an AI-powered image generation tool that enables users to create high-quality imaginative images in seconds. Florence AI offers optional premium upgrades for free, combining user-friendliness with advanced image customization, making it...
In this tutorial, we implemented a fully functional Horama The environment inside Google Colab to replicate self-hosted LLM workflows. We first install Ollama directly on the COLAB VM using the official Linux installer, and...
In the future, home robots can manage their own trivia every day and learn family models from ongoing experiences. Over time, it may serve coffee without asking. For multimodal agents, this intelligence depends on...
NVIDIA unveiled the Nemotron Nano 2 family, introducing a series of hybrid Mamba-Transformer Big Speech models (LLMS) that not only improve the latest inference accuracy, but also provide higher recommended throughput than similarly sized...