agents or other generative AI-enabled applications to help their employees easily discover and process information from common enterprise applications and systems, saving employees time that they can spend on more valuable and interesting work. Check out an example of Github repository to get started...
So, along with its remarkable productivity prospects, generative AI brings new potential business risks—such as inaccuracy, privacy violations, and intellectual property exposure—as well as the capacity for large-scale economic and societal disruption. For example, generative AI’s productivity benefits...
To navigate this complexity, from ensuring operational readiness, to tech development and enhancing the employee and customer experience, this collection of insights explores the application and adoption of gen AI across the Operations value chain. ...
Learn about generative AI examples including DALL-E 2 for images, 3D-GAN for shapes, chatbots & investment strategies. See how AI is changing various industries.
Generative AI is a game-changer in software development. It aids in brainstorming new ideas and suggesting code. GenAI coding tools like GitHub Copilot, for example, can predict coding sequences and brainstorm coding solutions. This not only saves you much time in coding but also shifts your...
What Is Generative AI? Generative AI is a form ofartificial intelligencethat can analyze large datasets based on criteria extracted from prompts to create new content—including text, images, videos, audio, and code—with the same patterns and structures. GenAI models continue to train on or lear...
Certain algorithmic architecturesare better suited than others for specific types of prompts, which can come in the form of text, a code snippet, an enterprise data set, an image, a video, a design, musical notes or any input that the AI system can process. Diffusion models, for example,...
microsoft / generative-ai-for-beginners Star 78.1k Code Issues Pull requests Discussions 21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/ ai azure transformers openai gpt language-model semantic-search dall-e prompt-engineering llms...
The example implements a GPU-accelerated pipeline for creating and querying knowledge graphs using RAG by leveraging NIM microservices and the RAPIDS ecosystem for efficient processing of large-scale datasets. Knowledge Graphs for RAG with NVIDIA AI Foundation Models and Endpoints Agentic Workflows with...
Managers can perform evaluations faster and more accurately with generative AI-powered recommendations for answers to questions in agent evaluation forms.