Our Journey: Building with Generative AI, Part II
In a recent article, I shared Revelry’s journey into building with generative AI. As a brief recap: since 2013, Revelry has been at the…
Machine Learning
ProdOps: Optimizing Product Delivery with the Power of AI
As someone who’s spent well over 25 years leading product delivery and process for some of the biggest companies out there, I’ve witnessed firsthand…
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…
Our Journey: Building with Generative AI, Part I
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.
Beyond the Blackboard: How AI Is Transforming Higher Education For Students
Elevating the College Experience with Artificial Intelligence Technology The chalkboard is out, the smartboard is in, and increasingly, so is artificial intelligence; AI, the…
Memory Consumption and Limitations in LLMs with Large Context Windows, Part II
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)…
Understanding and Using Reinforcement Learning
The field of artificial intelligence (AI) has taken center stage in recent months; Large Language Models (LLMs) like ChatGPT and LLaMA have caught the…
Comparing OpenAI’s Assistants API, Custom GPTs, and Chat Completion API
… and why you might just want to stick with the Chat Completion API Not unlike the rest of the world, Revelry has been…
Memory Consumption and Limitations in LLMs with Large Context Windows
Part I: Introduction to Large Language Models, Context, and Tokens This post is the first in a series in which we will explore the…
Creating an “Agent” Using OpenAI’s Functions API
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…
Can Pinecone and Other Vector Databases Prevent LLM Hallucinations?
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…
Using the OpenAI Functions API to Estimate Story Points
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…
Open-Source Semantic Vector Search with pgvector, Instructor
Semantic search is used across a wide variety of problem domains to use natural language inputs to find results. It allows us to compare…
AI Hacks to Make Life Easier at Work and Play
The journey of artificial intelligence (AI) began in the 1950s with the pioneering work of Alan Turing, who proposed the Turing Test to determine…
Is AI Killing Creative Jobs?
By Steve Achord, Revelry Alumni As a creative professional, it’s hard not to be excited by the latest advancements in artificial intelligence technology. AI-powered…