Category: FAANG

Foundational models are trained on extensive unlabeled data and used for downstream  generative AI tasks, such as text, images, and music generation. They are increasingly popular as businesses explore their potential to create new products and services. You can use foundational models for use cases like image generation. Diffusion models are generative models that have …

Read more “Deploying your Generative AI model in only four steps with Vertex AI and PyTorch”

Creating conversational interfaces has become increasingly important as businesses look to provide more personalized and efficient customer service. One way to achieve this is by using Natural Language Processing (NLP) and React to build conversational interfaces that can understand and respond to user input naturally. Understanding Natural Language Processing Before we dive into creating conversational …

Read more “Creating Conversational Interfaces with React and Natural Language Processing”

Self-training has been shown to be helpful in addressing data scarcity for many domains, including vision, speech, and language. Specifically, self-training, or pseudo-labeling, labels unsupervised data and adds that to the training pool. In this work, we investigate and use pseudo-labeling for a recently proposed novel setup: joint transcription and translation of speech, which suffers …

Read more “Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data”

Businesses rely every day on various systems and pieces of equipment to keep their operations running smoothly. But all systems inevitably require upkeep. It could be intangible software, like an IT service network that has accumulated enough bugs to break an important feature, sending developers scrambling for a fix. Or it could be a piece …

Read more “MTTR vs. MTBF: What’s the difference?”

We have had an amazing week with IBM clients, partners, and stakeholders at our annual Think® Conference in Orlando, Florida. For IBM, Think is a perfect time for us to connect, collaborate and help our clients and partners continue to forge ahead with digital transformation and innovation.  As we wrap up Think 2023, we’re excited …

Read more “IBM IT Automation: Reflections from IBM Think”

Whether it’s predictive text, real-time language translation, or voice assistants, code is the foundation of every AI-driven application. While AI plays a critical role in the output of the software development lifecycle (SDLC), AI also can accelerate it. Tabnine, an AI-powered code completion assistant, is helping developers get next-generation applications from planning to development and …

Read more “How CI&T accelerated development by 11% with AI from Tabnine and Google Cloud”