
Announcing TextChunker: Flexible Semantic Text Chunking for Elixir
Introduction Today, we’re excited to announce the open-source release of TextChunker! This library empowers Elixir developers to break down large text documents into meaningful…
Introduction Today, we’re excited to announce the open-source release of TextChunker! This library empowers Elixir developers to break down large text documents into meaningful…
Institutions of higher learning have long been hotbeds of innovation. Unfortunately, that innovation hasn’t always extended to their administrative processes. Enter artificial intelligence (AI),…
Businesses of all sizes and industries are eager to take advantage of Generative AI right now, so I’m going to share some details of Revelry’s journey with this emerging technology over the past year.
In a recent Revelry webinar, I had the opportunity to explore a topic that continues to challenge business leaders in new and troubling ways:…
Elevating the College Experience with Artificial Intelligence Technology The chalkboard is out, the smartboard is in, and increasingly, so is artificial intelligence; AI, the…
Part II: Tokens, Embeddings, and Memory This post is the second in a series where we will explore the limits of large language models (LLMs)…
In our latest webinar, Good vs. Evil: Cybersecurity In the Age of Artificial Intelligence, Revelry Senior Software Engineer Eric Streeper explores how artificial intelligence is being…
The field of artificial intelligence (AI) has taken center stage in recent months; Large Language Models (LLMs) like ChatGPT and LLaMA have caught the…
… and why you might just want to stick with the Chat Completion API Not unlike the rest of the world, Revelry has been…
In this e-book, Revelry product strategy expert Heather Bourdaux and software engineering leader Jason Pollentier share both best practices and key considerations from early…
Part I: Introduction to Large Language Models, Context, and Tokens This post is the first in a series in which we will explore the…
In my previous post, I wrote about using OpenAI‘s Functions API to force their large language models (LLMs) to return structured, machine-readable responses. The natural…
With a certain level of confidence, it appears yes! In July, a group of software engineers and strategists from Revelry attended Pinecone’s AI Transformation…
Like so many others, I’ve been playing around with language models lately. Also like so many others, I’ve been alternately amazed and amused at…
Semantic search is used across a wide variety of problem domains to use natural language inputs to find results. It allows us to compare…