Systems | Development | Analytics | API | Testing

AI

Snowflake's Arctic-TILT: A State-of-the-Art Document Intelligence LLM in a Single A10 GPU

The volume of unstructured data — such as PDFs, images, video and audio files — is surging across enterprises today. Yet documents, which represent a substantial portion of this data and hold significant value, continue to be processed through inefficient and manual methods.

Behind The Scenes Of Snowflake Open Source LLM Arctic

Snowflake CEO Sridhar Ramaswamy and Snowflake Head of AI Baris Gultekin join Adrien Treuille, Director of Product Management, to discuss the launch of Snowflake Arctic, the latest enterprise-grade, truly open large language model (LLM). Snowflake Arctic stands out in the competitive landscape with its exceptional efficiency and cost-effectiveness, emphasizing Snowflake's commitment to open-source development and the future of enterprise AI. Join us to explore how Arctic is set to revolutionize industries by making advanced AI more accessible and trustworthy.

Using Moesif, Kong, and Stripe to Monetize Your AI APIs - Part 1: Integrating The Platforms

As the wave of AI sweeps through the technology landscape, many have hopped on board. Interestingly enough, and often overlooked, is that many AI capabilities are served through APIs. Fancy user interfaces integrate with the actual mechanisms where the magic happens: the APIs. So, when generating revenue through AI platforms, the APIs drive the revenue.

What Are the Security Risks Associated with AI-Generated Code? | Vandana Verma | #QonfX 2024

In this session, Vandana Verma explores the intersection of AI and security in software development. Vandana delves into the potential of AI-powered coding tools like GitHub Copilot and ChatGPT to accelerate project delivery while highlighting the inherent security challenges they pose. Through a hands-on demonstration, Vandana showcases the construction of a demo app using GitHub Copilot, followed by the identification and exploitation of vulnerabilities within the AI-generated code.

Unveiling the 'Black Box': How Explainable AI Transforms Decision-Making in Business

There is an increasing demand for openness and accountability in Artificial Intelligence (AI) decision-making processes. Explainable Artificial Intelligence (XAI) is a developing idea as organizations attempt to comprehend and trust AI’s suggestions and insights. Gartner expects that explainable AI will reach the pinnacle of expectations. Over the next fifteen years, XAI will enter the decisive stages of development.

Analyze documents in BigQuery with Document AI

Turn your documents into actionable data! This video explores the power of BigQuery's integration with Document AI. Learn how to transform unstructured documents – think invoices, contracts, forms – into neatly structured tables within your data warehouse, unlocking smarter insights using familiar SQL syntax.

Introducing Testim Copilot: Accelerate test creation through generative AI

We are thrilled to announce the arrival of Tricentis Testim Copilot, the first of many Tricentis Copilot solutions. Tricentis Copilot solutions are a collection of advanced generative AI capabilities available as add-ons across our products that help customers boost their efficiency throughout the entire testing lifecycle. With Testim Copilot, we’ve added new advanced generative AI capabilities to Testim, an already AI-driven test automation platform.

Harnessing Generative AI for Flood Insurance Risk Evaluation and Mitigation

Floods are the most common natural disaster worldwide. A flood is demarcated as an overflow of water that submerges land that is usually dry. Flash flooding befalls when heavy rainfall over a short period hits areas with inadequate drainage. Other causes of flood events comprise high tides, storm surges, river overflow, and snow melt. Each year, floods extinguish assets worth billions of dollars. In the last five years alone, monetary losses caused by floods worldwide were estimated at 299 billion U.S.

What are LLMs? An intro into AI, models, tokens, parameters, weights, quantization and more

To keep up with everything happening in the world of artificial intelligence, it helps to understand and grasp key terms and concepts behind the technology. In this introduction, we are going to dive into what is generative AI, looking at the technology and models they are built on. We'll discuss how these models are built, trained, and deployed into the world.