Learn how connected assets and data-driven insights can impact manufacturing operations, drive efficiency, and create new revenue streams for manufacturers.
As the impact of AI on technology and the Salesforce ecosystem grows, these Salesforce AI podcast episodes made by Salesforce Admins, Devs, and Architects will help boost your understanding of AI's future and its benefits for your role.
You’re not the only one with that AI question. We asked our Trailblazer community what burning AI questions are on their minds and then got experts to answer.
By automating routine tasks, coordinating workflows, and facilitating real-time communication, agents mitigate many of the challenges that arise with hybrid work teams.
Introduction Imagine you’re working on an AI product that can summarize customer success phone calls for training purposes. Your company’s product leverages large language models (LLMs) to summarize, synthesize, triage, and generate…
You might have a lot of customer data that needs to be pieced together — but you don’t have to completely transform your marketing strategies to see the bigger picture.
Neural Machine Translation (NMT) systems, introduced only in 2013, have achieved state of the art results in many MT tasks. MetaMind’s submissions to WMT ’16 seek to push the state of the art in one such task, English→German newsdomain…
Neural network architectures with memory and attention mechanisms exhibit certain reasoning capabilities required for question answering. One such architecture, the dynamic memory network (DMN), obtained high accuracy on a variety of…
Today, we published new state of the art results on a variety of natural language processing (NLP) tasks. Our model, which we call the Dynamic Memory Network (DMN), combines two lines of recent work on memory and attention mechanisms in…
Imagine you were a young child and wanted to ask about something. Being so young (and assuming you are not exceedingly precocious), how would you describe a new object, the name of which you have yet to learn? The intuitive answer: point…
The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike…
Humans learn natural languages, such as English, starting from basic grammar to complex semantics in a single brain. How do we build such a single model to handle a variety of natural language processing (NLP) tasks in computers?
In deep learning, there are two very different ways to process input (like an image or a document). Typically, images are processed all at once, with the same kind of computation happening for every part of the image simultaneously.