Solution Street

We will be hosting a HackerX hiring event on Wednesday, July 24th from 6-9p.m. at our Solution Street office. Solution Street is hiring and we currently have Java and .NET developer openings. Sign up and come talk to our team at the event! https://lnkd.in/eCcCE7t9

"...embeddings enable machine learning models to find similar objects." Read more of Gregory Hodum's article on embeddings https://lnkd.in/eFs6hhAP #ai #softwaredevelopment #embeddings #machinelearning

Last week we welcomed our 2024 summer interns! We kicked off the week with a welcome lunch, and ended with an ice cream social. They had a full week of learning and we are excited to see the new application they develop by the end of their 8 week internship. #summerintern #funatwork #softwareengineering

Excited to share that recently I've been diving deep into AI embeddings, Retrieval-Augmented Generation (RAG), and experimenting with the Weaviate vector database! It's been an interesting learning journey so far, and I'm thrilled about the potential applications these technologies have in enhancing the software solutions we develop here at Solution Street. Stay tuned for a blog article later this month where I'll share insights and practical tips from my experiences. #AI #MachineLearning #Weaviate #TechInnovation #SoftwareDevelopment #ContinuousLearning

"In May of 2024, at the headquarters of Solution Street, the NOVA Software Architecture Roundtable Meetup group held an AI/ML focused meetup." Read more of Jeff's article summarizing the meetup https://lnkd.in/eW35YJac #artificialintelligence #machinelearning #AI #ML

The other day I was listening to a new podcast https://lnkd.in/eF8TnHkt that was recommended by a Solution Street colleague, and on that podcast they started to discuss the concept of “model collapse”. I had not heard this exact term before, but I did wonder about the concept in the past, which is basically “what happens when new generative models start to create content based on other/previously generated content?” Does this lead to less unique and original results? Could this lead to AI tools becoming less accurate, reliable, and useful. As AI technology grows, some experts worry that we might see this happen. But is it really possible? Or can we prevent it with the right steps? What do you think? Is model collapse something we should be worried about in the future, or is it just a myth? Share your thoughts in the comments below! #AI #MachineLearning #LLM #FutureOfAI #TechTalk #Innovation #ModelCollapse

"In this part, I will create some mobile pages to display basic CRUD processing and then review the overall pros and cons of FlutterFlow." Read Part 2 of Arthur's article https://lnkd.in/eTM7keMK #flutterflow #mobile #mobiledevelopment

We have some exciting talks planned for the NOVA SART Meetup on May 2nd at 6pm. RSVP now so you don't miss out on this informative evening! Scheduled Lightning Talks: AI hallucinations, what are they and why are they important! by 👨💻 Joel Nylund Who's Who in the AI Zoo: Understanding AI Delivery Roles by Ryan Ashcraft Taming Python for Repeatable AI Delivery by Eric Konieczny A Sight to Behold: Using Glasses to Explore Embeddings with OpenAI's CLIP Model by Ryan Gehl Just the tip of the iceberg…A brief voyage through Azure AI Machine Learning Studio by Gregory Hodum https://lnkd.in/edheZJhZ

"I often research and write about no-code/low-code tools; tools that help me create software faster and easier. I’ve written about these sorts of tools several times. I’m going to do it again and talk about FlutterFlow in this article." Read more of Arthur's article https://lnkd.in/e2sNPCXe