To illustrate, Figure 1 shows how a single base image was augmented in four distinct ways using straightforward text prompts. Traditionally, a technical artist would require several hours to implement such modifications and regenerate new images. Generative AI accomplishes this task in a fra...
Generative AI is a powerful tool to build intelligent apps that enhance patient engagement, automate care management, and streamline workflows. With the Microsoft Azure AI application platform, healthcare organizations can develop intelligent applications that improve patient health outcomes, reduce costs, ...
NVIDIA NeMo™ is an end-to-end platform for developing custom generative AI—including large language models (LLMs), vision language models (VLMs), video models, and speech AI—anywhere. Deliver enterprise-ready models with precise data curation, cutting-edge customization, retrieval-augmented ...
MegaMolBARTandMoFloware generative chemistry AI models in BioNeMo. MegaMolBart is a large, transformer-based generative chemistry model used for molecular optimization. It uses SMILES, a string notation for representing the chemical structure of small molecules. Developed by AstraZeneca and NVIDIA, ...
Bring your data to life with generative AI Generative AI has quickly become the generation-defining technology shaping how we search and consume information every day, and it’s been wonderful to see customers across industries embraceMicrosoft Azure OpenAI Service. In March, we announced the prev...
Using generative AI to create generative AI It’s this process that Monster API is trying to solve. And it has decided that, in order to help fine-tune and customize generative AI models, the best approach is to turn to generative AI itself. Using its API, developers can simply utter a...
started in generative AI app development. These include the underlying large language models, vector data management tools, prompt handling systems and so on. “These blueprints provide a prescriptive path for customers to unlock the potential of generative AI for their enterprise use cases,” he ...
“We’ve already realized an increase in revenue per visit and conversion rates had great success using Google Cloud’s AI technology and are looking forward to exploring how these latest announcements bring together Natural Language Processing and Generative AI capabilities to deliver next-gen...
How Gencore AI enables the construction of production-ready generative AI pipelines using any data system, vector database, AI model, and prompt endpoint.
(RAG) combines content retrieval and generation for neural text generation. Recent advances in LLMs have led to models that can generate coherent and fluent text. However, these models often struggle with generating factually accurate and consistent text since ...