Category: Engineering

Introduction Retrieval-Augmented Generation (RAG) is a powerful process that is designed to integrate direct function calling to answer queries more efficiently by retrieving relevant information from a broad database. In the rapidly evolving business landscape, Data Analysts (DAs) are struggling with the growing number of data queries from stakeholders. The conventional method of manually writing […]

Introduction Retrieval-augmented generation (RAG) has revolutionized how enterprises harness their unstructured knowledge base using Large Language Models (LLMs), and its potential has far-reaching impacts. Intercontinental Exchange (ICE) is a global financial organization operating exchanges, clearing houses, data services, and mortgage technology, including the largest stock exchange group in the world, the New York Stock Exchange (NYSE). […]

Introduction Applying Large Language Models (LLMs) for code generation is becoming increasingly prevalent, as it helps you code faster and smarter. A primary concern with LLM-generated code is its correctness. Most open-source coding benchmarks are designed to evaluate general coding skills. But, in enterprise environments, the LLMs must be capable not only of general programming […]

The buzz around compound AI systems is real, and for good reason. Compound AI systems combine the best parts of multiple AI models, tools, and systems to solve complex problems that a single AI, no matter how powerful, might struggle to tackle efficiently. A Look Back: From Monolithic to Microservices Before diving into the magic […]

Many of our customers are shifting from monolithic prompts with general-purpose models to specialized compound AI systems to achieve the quality needed for production-ready GenAI apps. In July, we launched the Agent Framework and Agent Evaluation, now used by many enterprises to build agentic apps like Retrieval Augmented Generation (RAG. Today, we’re excited to announce […]

As Southeast Asia’s leading super app, Grab serves millions of users across multiple countries every day. Our services range from ride-hailing and food delivery to digital payments and much more. The backbone of our operations? Machine Learning (ML) models. They power our real-time decision-making capabilities, enabling us to provide a seamless and personalised experience to […]

eBay’s commitment to innovation takes center stage at eBay Open 2024, our 9th annual seller conference. This year we’re unveiling a suite of advanced tools and services designed to enable our seller community, streamline their operations, and connect them with passionate buyers like never before. A Year of ProgressIn the past year, we introduced several innovative […]

“Like most sellers, I’m always looking for little tips and tricks to work smarter, not harder,” said Ashley Moulder, whose eBay shop Millennial Mouse specializes in pre-loved and vintage fashion items.  Ashley isn’t just looking to improve her own workflow. She’s also passionate about sharing helpful information with other sellers so they can benefit as […]

eBay has unveiled another artificial intelligence-powered feature to save sellers time and effort as they create listings for their products. Using the new magical bulk listing tool, sellers can simply upload batches of product images, and eBay will generate draft listings with suggested categories, titles, and item specifics in a matter of seconds. After reviewing […]

Imagine a world where finding the right data is like searching for a needle in a haystack. In today’s data-driven landscape, companies are drowning in a sea of information, struggling to navigate through countless datasets to uncover valuable insights. At Grab, we faced a similar challenge. With over 200,000 tables in our data lake, along […]