The Failed Promise of Large Language Models

Once upon a time Major trends in technology rarely have a clear date of birth. The internet is a classic example. From the “Intergalactic Computer Network” imagined in the early 1960s to packet switching to ARPANET in 1969 to email in 1971 to the worldwide web and the Mosaic browser – the modern internet developed […]

The Infinitive Metadata-driven Framework for Generating Data Pipelines in Databricks

Introduction As a Databricks partner, Infinitive empowers clients to unlock value from data dispersed across various systems. Implementation of these strategies typically involves building data pipelines. Data pipelines automate the collection and processing of data, reduce manual errors and ensure high quality data, so that business decisions can be made with confidence. Infinitive has streamlined […]

Apple, Google, and Anthropic: The New AI Arms Race for Your Devices

Apple gets Intelligence. Apple released its Intelligence capability for certain iPhones, IPads, and Macs. In this blog we’ll focus on iPhones. Accessing Apple Intelligence requires two newer products – the phone and the operating system. You must first get a newer Apple iPhone – iPhone Version 15 Pro or Pro Max, or any type of […]

The Future of AI: Optimism, Pessimism, and What Lies Ahead

Setting the stage. The sudden emergence of Large Language Models (LLMs) has sparked renewed interest in artificial intelligence. As usual, this has brought out both the “fanboys” who see AI as an Earth-shattering change and the “naysayers” who believe that the recent excitement around AI, as catalyzed by LLM makers like OpenAI, is just another […]

Common Enterprise GenerativeAI Use Cases With Examples

Overview As GenerativeAI has moved from research to consumer use to enterprise use, a series of enterprise use cases have come to the fore. These areas can benefit from GenAI now. Software development Generative AI is helping make software development more productive by automating code generation, documentation, and bug detection, allowing developers to focus on […]

The Rise of Compound AI Systems: Shifting Beyond Single Models

LLMs are not enough In 2023, Large Language Models (LLMs) took center stage in the AI world, showcasing their ability to perform general tasks through simple prompting. However, as we move through 2024, a significant shift is occurring in the AI landscape. State-of-the-art AI results are increasingly being achieved not by single, monolithic models, but […]

A Recap of Databricks Data & AI World Tour, 2024 – New York City

Introduction On Sept 17, Infinitive sent representatives to the Databricks Data & AI World Tour in New York City. This one-day conference is one of several conferences held in different locations around the globe where Databricks highlights their accomplishments and vision for the future. For those that attended the Databricks Data & AI Summit held […]

Infinitive Uses Retrieval Augmented Generation (RAG) F1 Scores to Guide Development

Summary Retrieval Augmented Generation (RAG) is a relatively new architecture which allows private data to be accessed through natural language queries using Large Language Model (LLM) technology. Applications like customer service have benefitted from this architecture. Swedish fintech company Klarna reports that it has implemented RAG for customer service with the RAG-based application doing the […]

Using Databricks-based RAG for Employee Onboarding at Infinitive

Summary Infinitive has finished the first phase of implementing a Retrieval Augmented Generation (RAG) application to help onboard new employees. Infinitive is a data and AI consultancy headquartered in Ashburn, Va – outside Washington, DC. Like most consulting firms, we are continually hiring new employees to meet our business growth. To help new employees understand […]