LLMs are evolving rapidly, and within the enterprise space, organizations are iterating on their AI strategies by using different model providers and platforms to address their unique use cases. We launched BYO LLM earlier in 2024 to give customers the ability to connect their own models, hosted on OpenAI, Microsoft Azure, Google Vertex AI, or […]
When it comes to innovation, Cloud for Good has always been on the front lines. We’ve been a part of Salesforce’s Nonprofit and Education Cloud Design Partner group and are among the first to see the newest products, features, and enhancements in action. We’re consistently looking at how the latest and greatest innovations can be
Agentforce for Nonprofits and Higher Education: What You Need to Know Read More »
About 20% of the world’s population is neurodiverse – and I’m one of those people. When I come across Salesforce pages and forms that are dense with fields and lack an easy-to-follow structure, it hurts my brain. And then the UX designer in me snaps to attention, listing all the ways to make the user
5 Ways to Design for Neurodiversity with SLDS Read More »
Agentforce is now generally available, empowering enterprises to build, customize, and deploy autonomous and assistive artificial intelligence (AI) agents. This technology helps you foster both customer and employee success. But where does Prompt Builder fit in? Does Agentforce replace Prompt Builder? Should you bypass prompt creation and dive straight into build agents? We’ll show you
How Agents Can Take Smarter Actions With Prompt Builder Read More »
You’ve heard about AI agents that can take on tasks and innovate at companies in ways we never thought possible. But what can they do for you? How can they save your company money and make your operations more efficient? How will they shape the future? If you’re asking these questions, you’re an Agentblazer. And
Who Is an Agentblazer? Read More »
Imagine a world where AI agents handle many of your everyday tasks, freeing you up to focus on what truly matters — building relationships, making strategic decisions, and innovating. This isn’t a distant dream, though: It’s the reality we’re shaping in partnership with our customers at Salesforce. But the potential of artificial intelligence (AI) agents
5 Ways To Build Trustworthy AI Agents Read More »
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 language tasks. However, it was not shown whether the architecture achieves strong results for question answering when supporting facts are not marked during training
Dynamic Memory Networks for Visual and Textual Question Answering Read More »
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 deep learning. Memory components give models the ability to store various facts internally, to access
New Deep Learning Model Understands and Answers Questions Read More »
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 translation. We integrate promising recent developments in NMT, including subword splitting and back-translation for monolingual data
MetaMind Neural Machine Translation System for WMT 2016 Read More »
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 License. Compared to the preprocessed version of Penn Treebank (PTB), WikiText-2 is over 2 times larger and WikiText-103 is over 110
The WikiText Long Term Dependency Language Modeling Dataset Read More »
