Capital One builds agentic AI modeled after its own org chart to supercharge auto sales
Capital One’s head of AI foundations explained at VB Transform on how the bank patterned its AI agents after itself.Read More
A Pro-Russia Disinformation Campaign Is Using Free AI Tools to Fuel a ‘Content Explosion’
Consumer-grade AI tools have supercharged Russian-aligned disinformation as pictures, videos, QR codes, and fake websites have proliferated.
RisingAttacK: New technique can make AI ‘see’ whatever you want
Researchers have demonstrated a new way of attacking artificial intelligence computer vision systems, allowing them to control what the AI “sees.” The research shows that the new technique, called RisingAttacK, is effective at manipulating all of the most widely used AI computer vision systems.
Flux Kontext is great changing titles
Flux Kontext can change a poster title/text while keeping the font and style. It’s really simple, just a simple prompt. Prompt: “replace the title “The New Avengers” with “Temu Avengers”, keep the typography and style, reduce font size to fit.” Workflow: https://github.com/casc1701/workflowsgalore/blob/main/Flux%20Kontext%20I2I submitted by /u/nazihater3000 [link] [comments]
Linear Layers and Activation Functions in Transformer Models
This post is divided into three parts; they are: • Why Linear Layers and Activations are Needed in Transformers • Typical Design of the Feed-Forward Network • Variations of the Activation Functions The attention layer is the core function of a transformer model.
LayerNorm and RMS Norm in Transformer Models
This post is divided into five parts; they are: • Why Normalization is Needed in Transformers • LayerNorm and Its Implementation • Adaptive LayerNorm • RMS Norm and Its Implementation • Using PyTorch’s Built-in Normalization Normalization layers improve model quality in deep learning.
From R&D to Real-World Impact
Palantir’s Advice for the White House OSTP’s AI R&D Plan Editor’s Note: This blog post highlights Palantir’s response to a Request for Information regarding the redrafting of the National AI R&D Plan. For more information on Palantir’s contributions to AI policy, visit our website here. Improving the Nation’s AI R&D Plan As the AI race evolves, so too …
Build and deploy AI inference workflows with new enhancements to the Amazon SageMaker Python SDK
Amazon SageMaker Inference has been a popular tool for deploying advanced machine learning (ML) and generative AI models at scale. As AI applications become increasingly complex, customers want to deploy multiple models in a coordinated group that collectively process inference requests for an application. In addition, with the evolution of generative AI applications, many use …
How to build Web3 AI agents with Google Cloud
For over two decades, Google has been a pioneer in AI, conducting groundwork that has shaped the industry. Concurrently, in the Web3 space, Google focuses on empowering the developer community by providing public goods resources like BigQuery blockchain datasets and testnet faucets, as well as the cloud infrastructure builders will need to bring their decentralized …
Kayak and Expedia race to build AI travel agents that turn social posts into itineraries
Planning a trip may soon be more agentic as companies like Kayak and Expedia reimagine the travel agent as an AI agent.Read More