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Responsible AI at Google Research: Perception Fairness focuses on advancing fairness and inclusion in multimodal machine learning systems, including analyzing bias properties, measuring representation of people in media, and advancing AI responsibly.

This blogpost discusses the work of Google Research's Perception Fairness team in advancing the frontiers of fairness and inclusion in multimodal ML systems, including analyzing bias properties of perceptual systems and advancing AI responsibly.

Utilizing AI and foundation models for efficient banking complaint handling

The partnership between OpenAI and Scale enhances enterprise model fine-tuning support.

Improving banking complaint handling and reducing costs through the implementation of AI.

Efficiently access and manage your favorite websites and applications on Cloudflare by starring them in the dashboard

Exploring the use of FlashAttention-2 on Lambda Cloud and comparing benchmark results between NVIDIA H100 and A100 GPUs for training GPT-3-style models.

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.