The shift from RAG to agent-based architectures represents a natural evolution in enterprise AI implementation. As organizations gain practical experience, they're adapting their approaches to better ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Because of this unique architecture, liver disease investigation has been limited by the lack of lab-grown models that accurately show how the disease progresses, as it is challenging to recreate ...

The demo creates a linear support vector regression model, evaluates the model accuracy on the training and test data, and then uses the model to predict the target y value for x = [-0.1660, 0.4406, ...

ByteDance’s Doubao Large Model team yesterday introduced UltraMem, a new architecture designed to address the high memory access issues found during inference in Mixture of Experts (MoE) models.

Chao Chen, Xingyuan Zhang, Research on laser ultrasonic surface defect identification based on a support vector machine, Science Progress (1933-), Vol. 104, No. 4 (2021), pp. 1-17 ...

Marine data prediction plays an increasingly important role in marine environmental monitoring. The support vector machine (SVM) is viewed as a useful machine learning tool in marine data processing, ...

The company said its database is getting support for vector search and retrieval-augmented generation, as well as integration with LlamaIndex and LangChain.

“Vercel’s mission is to help the world ship the best products, and in the age of GenAI that requires Pinecone as the vector database component,” said Guillermo Rauch, CEO and founder of Vercel.