In recent years, there has been a growing demand for machine learning models capable of handling visual and language tasks effectively, without relying on large, cumbersome infrastructure. The ...
Recommender systems are essential in modern digital platforms, enabling personalized user experiences by predicting preferences based on interaction data. These systems help users navigate the vast ...
Diffusion models have pulled ahead of others in text-to-image generation. With continuous research in this field over the past year, we can now generate high-resolution, realistic images that are ...
Function calling has emerged as a transformative capability in AI systems, enabling language models to interact with external tools through structured JSON object generation. However, current ...
Red teaming plays a pivotal role in evaluating the risks associated with AI models and systems. It uncovers novel threats, identifies gaps in current safety measures, and strengthens quantitative ...
Retrieval-augmented generation (RAG) architectures are revolutionizing how information is retrieved and processed by integrating retrieval capabilities with generative artificial intelligence. This ...
Natural neural systems have inspired innovations in machine learning and neuromorphic circuits designed for energy-efficient data processing. However, implementing the backpropagation algorithm, a ...
The rapid growth in AI model sizes has brought significant computational and environmental challenges. Deep learning models, particularly language models, have expanded considerably in recent years, ...
Alex Garcia has released a major update to sqlite-vec, an extension for SQLite that enables vector search. The latest version, 0.1.6, introduces several new features, including metadata columns, ...
Semiconductors are essential in powering various electronic devices and driving development across telecommunications, automotive, healthcare, renewable energy, and IoT industries. In semiconductor ...
Creating, editing, and transforming music and sounds present both technical and creative challenges. Current AI models often struggle with versatility, specializing in narrow tasks or lacking the ...
Reinforcement Learning (RL) represents a robust computational approach to decision-making formulated through the Markov Decision Processes (MDPs) framework. RL has gained prominence for its ability to ...