Artificial intelligence (AI) is revolutionizing digital advertising, enabling brands to deliver personalized and engaging experiences at scale. However, despite the advancements in generative AI, one ...
Through two half-days of lectures, demos, and hands-on exercises, you’ll learn how to build and optimize retrieval-augmented generation (RAG) systems that incorporate your business data.
LLMs rely on retrieval-augmented generation to fine-tune results. But RAG expands AI's attack surface. Learn how to minimize ...
Large language models (LLMs) show promise in assisting knowledge-intensive fields such as oncology, where up-to-date information and multidisciplinary expertise are critical. Traditional LLMs risk ...
Punnam Raju Manthena, Co-Founder & CEO at Tekskills Inc. Partnering with clients across the globe in their digital transformation journeys. Retrieval-augmented generation (RAG) is a technique for ...
Frontier Large Language Models have improved. More data became accessible. Neither solved the hardest questions. Here's what ...
Everyone's watching the frontier models, but the real work in your AI agent happens in the small stuff. Here's why that's ...
Development and validation of an AI model for predicting germline BRCA1/2 mutations from HR+/HER2- breast cancer histology images.
Recognition underscores Progress Software’s innovation in removing barriers to GenAI research and making trustworthy RAG accessible to organizations of any size Progress Agentic RAG is a breakthrough ...
AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...