Hew there! As we gear up for the much-anticipated Chatbot Conference this November, we find ourselves constantly driven by one central purpose: to serve the vibrant community of professionals, enthusiasts, and enterprises navigating the rich landscape of Conversational AI and LLMs. This year, we’re taking a collaborative approach to curating our conference agenda, and who better …
Posted by Haolin Jia, Software Engineer, and Qifei Wang, Senior Software Engineer, Core ML In recent years, we have witnessed rising interest across consumers and researchers in integrated augmented reality (AR) experiences using real-time face feature generation and editing functions in mobile applications, including short videos, virtual reality, and gaming. As a result, there is …
Read more “MediaPipe FaceStylizer: On-device real-time few-shot face stylization”
In this blog post, you’ll learn how to record SSH sessions on a Red Hat Enterprise Linux (RHEL) VSI in a private VPC network using in-built packages. The VPC private network is provisioned through Terraform and the RHEL packages are installed using Ansible automation. Additionally, you’ll learn how to set up a highly available bastion …
Read more “Securely record SSH sessions on RHEL in a private VPC network”
Posted by Haolin Jia, Software Engineer, and Qifei Wang, Senior Software Engineer, Core ML In recent years, we have witnessed rising interest across consumers and researchers in integrated augmented reality (AR) experiences using real-time face feature generation and editing functions in mobile applications, including short videos, virtual reality, and gaming. As a result, there is …
Read more “MediaPipe FaceStylizer: On-device real-time few-shot face stylization”
Large language model (LLM) agents are programs that extend the capabilities of standalone LLMs with 1) access to external tools (APIs, functions, webhooks, plugins, and so on), and 2) the ability to plan and execute tasks in a self-directed fashion. Often, LLMs need to interact with other software, databases, or APIs to accomplish complex tasks. …
For any company, naming a product or service is complex and time-consuming. This process is particularly challenging in the pharmaceutical industry. Typically, companies start by brainstorming and researching thousands of names. They must ensure that the names are unique, compliant with regulations, and easy to pronounce and remember. With so many factors to consider, multiplied …
Read more “Applying Generative AI to product design with BigQuery DataFrames”
Posted by Gabriel Barcik and Duc-Hieu Tran, Research Engineers, Google Research In today’s digital age, smartphones and desktop web browsers serve as the primary tools for accessing news and information. However, the proliferation of website clutter — encompassing complex layouts, navigation elements, and extraneous links — significantly impairs both the reading experience and article navigation. …
Read more “On-device content distillation with graph neural networks”
Figure 1: IBM Cloud connected to other clouds and enterprise networks. As enterprises modernize and migrate workloads to IBM Cloud, they often run into requirements that certain components of their application workloads to run on other cloud service provider networks. These requirements create a technical challenge for enterprises—especially in regulated industries (e.g., insurance, banking, healthcare, …
Read more “Multicloud connectivity for regulated industry workloads on IBM Cloud”
Posted by Gabriel Barcik and Duc-Hieu Tran, Research Engineers, Google Research In today’s digital age, smartphones and desktop web browsers serve as the primary tools for accessing news and information. However, the proliferation of website clutter — encompassing complex layouts, navigation elements, and extraneous links — significantly impairs both the reading experience and article navigation. …
Read more “On-device content distillation with graph neural networks”
“Data locked away in text, audio, social media, and other unstructured sources can be a competitive advantage for firms that figure out how to use it“ Only 18% of organizations in a 2019 survey by Deloitte reported being able to take advantage of unstructured data. The majority of data, between 80% and 90%, is unstructured …
Read more “Build a classification pipeline with Amazon Comprehend custom classification (Part I)”