Google has just made their free Gemini API significantly less viable for real-world AI applications and even for testing and experimentation, cutting their ~1,500 user requests per day limit down to just ~200, a massive reduction. So, what options are left to AI developers who need a free option to work and play with? Check out Bruce Nielson's response to this development in today's blog article.
Check out today's AI article by Bruce Nielson, where we'll be continuing our adventures into Boolean Functions and how they are used by AI and LLMs. Today, we'll be having a closer look at NAND gates and how they can improve the quality of your AI.
Previously, we spoke about how Aristotle helped build the foundational principles that allow modern AI to work. Today, we'll be continuing that train of thought with this article by Bruce Nielson explaining the three basic operations of a Boolean function (AND, OR, and NOT) and how they relate to AI.
Did you know that the logic behind Artificial Intelligence, or at least the foundational principles by which AI works, have been around for thousands of years? In today's article by Bruce Nielson, we'll be diving into how Aristotle's 2300-year-old ideas set the framework for today's AGI technology.
Google's AI Studio is, in its own words, "a conversational AI that can generate text, answer questions, and assist with creative or analytical tasks." In today's article by Bruce Nielson, we'll be having a quick look at how to use it and what some of the best use cases for it could be.
We have spoken in previous articles about how you can give your AI a bit more agency, allowing it to give more concise and relevant answers to your queries. Today, we'll be expanding that functionality by looking at the ReAct Framework, and how it can further add value to your AI.
It's important that your AI Chatbots aren't just intuitive in how they communicate, but it's also important that their interface is also easy to use. In today's article by our AI/ML expert, Bruce Nielson, we'll be going over how to add some additional functionality to your AI Chatbot's UI using Gradio.
Interested in learning how to create an AI Chatbot that really feels like a real person? Over the last few weeks, we have been sharing short tutorials on how you can do just that, with our RAG powered AI Karl Popper chatbot. Today, we'll be going over improving your chatbot's ability to respond to more complicated and long-winded questions, something that could prove extremely useful in customer service.
In a previous post, we set up a chatbot based on Karl Popper, but while it worked great in most cases, it occasionally would return less than relevant or accurate responses. Today, in this article by Bruce Nielson, we'll be showcasing how you can further improve your chatbot by having the AI itself determine the best way to improve response relevancy.
In previous posts, we've discussed the usefulness of IBM's Docling for use in AI projects. Today, we want to dive deeper and showcase how you can use Docling with a nifty light-weight resource called Kokoro-82M to convert PDFs into complete AI-voiced Audiobooks.
