We use GPT-4 to automatically write explanations for the behavior of neurons in large language models and to score those explanations. We release a dataset of these (imperfect) explanations and scores for every neuron in GPT-2.
In today’s digital world, business and IT leaders are turning to automation to improve operational efficiency, increase employee productivity and, ultimately, boost business performance. At IBM, we believe that organizations need AI coupled with automation to help developers reduce time to productivity. By empowering employees with automation and AI technologies like machine learning, deep learning, …
Read more “Reshaping IT automation with IBM Watson Code Assistant”
Amazon SageMaker Serverless Inference allows you to serve model inference requests in real time without having to explicitly provision compute instances or configure scaling policies to handle traffic variations. You can let AWS handle the undifferentiated heavy lifting of managing the underlying infrastructure and save costs in the process. A Serverless Inference endpoint spins up …
Read more “Announcing provisioned concurrency for Amazon SageMaker Serverless Inference”
Generative AI is poised to transform and streamline many of the most common processes and tasks each of us performs every day at work — like how we communicate, how we analyze data, how we interface with apps, or even how we summarize content and conversations. At Google Cloud, our open approach to generative AI …
Read more “Bringing Google Cloud generative AI to popular workplace apps”
ThoughtSpot today announced new AI-driven features, including an AI assistant called Sage, to simplify data analytics for enterprises.Read More
From discounted weighted blankets to tablets, we’ve got you covered for Mom’s special day.
ChatGPT seems to be everywhere. Morgan Stanley, Duolingo, Snapchat, Coca-Cola and Instacart have signed on, as have programmers, web designers, pharmaceutical companies, writers, musicians, translators and businesses of all types.
I wanted to share my process, tips and tricks, and encourage you to do the same so you can develop new ideas and share them with the community as well! I’ve never been an artistic person, so this technology has been a delight, and unlocked a new ability to create engaging stories I never thought …
Artificial intelligence (AI) is polarizing. It excites the futurist and engenders trepidation in the conservative. In my previous post, I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. This blog continues the discussion, now investigating the …
With Amazon SageMaker, you can manage the whole end-to-end machine learning (ML) lifecycle. It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. This post provides a solution tailored to customers that are already using MLflow, an open-source platform for managing ML workflows. …
Read more “Securing MLflow in AWS: Fine-grained access control with AWS native services”