AI Challenges and Competitions will be the subject of our next meetup on Feb 7th. We switched our meetups to the 1st and 3rd Wednesdays for the month of February. We will likely stick to this through May. When we started Huntsville AI back in 2018, the primary avenue for challenges and competitions was Kaggle. This […]
This week we will be talking about some exciting breakthroughs in video generation and understanding. The main splash was with OpenAI’s announcement of Sora last week, but there have also been similar releases and updates from Google, Apple, and UC Berkeley. There’s a description of each below if you want to read ahead. It will […]
This is a placeholder for the HudsonAlpha Tech Challenge. We usually support this event with mentors and/or teams to compete.
This week we will be talking about Retrieval Augmented Generation – also known as RAG. The basic premise is to use an existing LLM to generate content based on an existing collection of documents. This removes the need to fine-tune an LLM, which is cost prohibitive and hardware constrained. Over the next several sessions, we will […]
Continuing our discussion about Retrieval Augmented Generation (RAG), this week we will incorporate ChromaDB as the storage and query mechanism for the embeddings. Our initial SpaceApps submission held all of the embeddings in memory and used a cosine similarity metric for queries. We will go through the ChromaDB API and design decisions required to replace the […]
Continuing our discussion about Retrieval Augmented Generation (RAG), this week we will incorporate LLM Sherpa to provide chunks of text from PDF documents that have been retrieved from the NASA archive. Our initial attempt used PyPDF2 to read text from the PDF documents. It was very slow and provided limited strings of text that did not […]
We have Josh Phillips presenting this week, so you don’t want to miss this! Join us as we explore the crucial task of selecting optimal embedding models to enhance AI performance across a variety of applications. This meetup will delve into the Multilingual Transferable Embedding Benchmark (MTEB), a pivotal resource providing a comprehensive framework to […]
