engblogs

Using AI to handle banking complaints improves efficiency and customer satisfaction while saving money.

This blog post explores an approach to teaching language models algorithmic reasoning capabilities through in-context learning and algorithmic prompting.

This blogpost discusses how to compare a noisy quantum processor to a classical computer in terms of computational cost and introduces the concept of effective quantum volume to measure the computational cost of a quantum experiment.

This blogpost discusses how to compare a noisy quantum processor to a classical computer and introduces a framework for measuring the computational cost of a quantum experiment.

Track and visualize detailed hardware performance data for your model training workloads with Amazon SageMaker Profiler.

The blogpost discusses teaching language models to reason algorithmically through an approach that leverages in-context learning and algorithmic prompting.

A one-week summer program for high schoolers to foster a deeper understanding of machine-learning approaches in health.

The MIT and Accenture Convergence Initiative for Industry and Technology selects three new research projects to support.

Exploring encouragement designs and instrumental variables for A/B testing at Spotify

Discover how to maximize your development productivity by utilizing templating features in GitHub Codespaces.

Building generative AI apps using MLflow AI Gateway and Llama 2 with a focus on Retrieval Augmented Generation (RAG) applications

OpenAI and Scale collaborate to assist enterprises in fine-tuning models