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The advent of advanced AI development tools is revolutionizing the way researchers and engineers transform groundbreaking academic ideas into powerful real-world applications. Release from the University of Hong Kong researchers Deep coding. DeepCode proposes...
Driven by strategic government investment, corporate research and open source collaboration, South Korea is rapidly establishing itself as a key innovator of the Big Language Model (LLMS) to create models tailored to Korean language...
Keevx is an AI-powered tool that enables studio-quality avatar videos without cameras, microphones or editing expertise. Designed for marketers, educators, content creators and businesses, Keevx converts written scripts, themes or templates into polished, multilingual...
Liquid AI has been officially released LFM2-VLa new visual foundation model, optimized for low latency, device deployment. With two efficient variants –LFM2-VL-450M and LFM2-VL-1.6B– This launch marks the bringing multimodal AI to smartphones, laptops,...
DeepSpeed team unveiled ZenflowThis is a new uninstall engine designed to overcome the main bottleneck of large language model (LLM) training: CPU-induced GPU stalls. Traditional frameworks like Zero Local Framework and Zero Intelligence often...
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,...