Towards Data Science - Medium
What working as a data scientist at various companies and industries over the past 6+ years has taught meContinue reading on Towards Data Science »
Accelerating AI/ML Model Training with Custom Operators — Part 4Photo by Agata Bres on UnsplashIn this post we continue our exploration of the opportunities for runtime optimization of machine learning (ML) workloads through custom operator development. This time, we focus on the tools provided by the AWS Neuron SDK for developing and running new kernels...
A comparison of frameworks, models, and costsRobert Corwin, CEO, Austin Artificial IntelligenceDavid Davalos, ML Engineer, Austin Artificial IntelligenceOct 24, 2024Large Language Models (LLMs) have rapidly transformed the technology landscape, but security concerns persist, especially with regard to sending private data to external third parties. In...
Lessons Learned from the Worst Tech Job Market in 20 YearsLong Story Short. . .. . . this job market is tough. Like, really tough. We all know what a roller coaster the past few years have been, particularly for those working in tech. We went from record-breaking salaries to hiring freezes and layoffs, all within a matter of months. 2023 saw the second-highest...
Insights on dealing with statistics, interacting with people, and maximizing productivity at the workplaceContinue reading on Towards Data Science »
Pulling pre-trained models out of the box for your use casePhoto by Erda Estremera on UnsplashI’ve been having a lot of fun in my daily work recently experimenting with models from the Hugging Face catalog, and I thought this might be a good time to share what I’ve learned and give readers some tips for how to apply these models with a minimum of stress.My...
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