The secret to a successful AI model? Self-cannibalization.
If you want your AI product to live, be ready to scrap your existing methods when the time comes and upgrade to more capable methods. It is one way to stay competitive and disruptive in the ever-evolving AI world.
Intro to large language models: the journey to billions of parameters
Ever wondered what’s behind innovative AI applications like ChatGPT? Increasingly, large language models (LLMs) are entering the mainstream and becoming responsible for impressive new technology. But what are LLMs, and how did they get so sophisticated? Let’s break it down.
The illusion of explainability in machine learning models
Is being able to explain how AI models work important? Or does it lead to a false sense of security? In many use cases, a more accurate model is better than having an explanation.
ChatGPT and its successors still need a helping hand
While large language models can boost development speed, they still need human hands to help develop a stable solution, especially for complicated tasks.
Intro to generative AI
Learn the basics on generative AI that enables computers to create new content based on patterns and data it has learned.
The perfect reasonable accommodation: the untapped potential of AI
A personal story of how artificial intelligence can help serve as a reasonable workplace accommodation for a blind person.
Saifr artificial intelligence
Learn how Saifr’s unique and powerful AI assists and empowers employees. The AI “reads” content helping detect compliance and brand risks in content and videos.
Human-level intelligence is a bad benchmark for AI!
Human-level intelligence is a great benchmark to reach, but it’s not the end goal of AI.
What does “artificial intelligence” mean?
Artificial intelligence is the term for many techniques that enable machines to mimic human behavior. AI is the most general, high-level term that encompasses machine learning and deep learning.
Humans and computers: better together!
Three current AI applications successfully partnering with humans in a meaningful way to start to deliver on the promise of AI.