This article was originally published on the author's blog and re-published to TOPBOTS with permission from the author. There’s a quote about how in polite society, you should never talk about three things: politics, religion, and money. In this article, I break polite conventions to determine how an AI would respond to all three of those topics. As AI tools become more and … [Read more...] about Does AI Have Political Opinions?
Technical Guide
The Evolution Of Science: From Descartes To Generative AI
Image generated by ArtMyko using Midjourney The belief that science means observable and repeatable experiments, which began with Descartes in the seventeenth century, is, to this extent, over. Global understanding is, by contrast, based on computational models supported by a knowledge infrastructure. — How to See the World, Nicolas Mirzoeff The Arabic numeral system … [Read more...] about The Evolution Of Science: From Descartes To Generative AI
Using GAMs To Project Progression Of Diabetes
This article is based on the chapter from the Interpretable AI book by Ajay Thampi. Take 35% off Interpretable AI or any other product from Manning by entering bltopbots23 into the discount code box at checkout at manning.com. Diagnostics+ AI – Diabetes Progression Imagine that you’re developing an AI-powered app that will help you diagnose illnesses: Diagnostics+. The … [Read more...] about Using GAMs To Project Progression Of Diabetes
Part 3. AI — A New Approach to Research, Innovation and Entrepreneurship
Credit: [1] “…it is the scale of physics where life emerges, but that life itself is a broader phenomenon recurring across different scales, from chemistry to cells to societies–which more generally concerns the interactions of information (an abstract property) with matter.” [2] In Part 1 of this series I discussed how artificial intelligence (AI) has … [Read more...] about Part 3. AI — A New Approach to Research, Innovation and Entrepreneurship
Overcoming The Limitations Of Large Language Models
How popular LLMs score along human cognitive skills (source: semantic embedding analysis of ca. 400k AI-related online texts since 2021) Disclaimer: This article was written without the support of ChatGPT. In the last couple of years, Large Language Models (LLMs) such as ChatGPT, T5 and LaMDA have developed amazing skills to produce human language. We are quick to … [Read more...] about Overcoming The Limitations Of Large Language Models
Part 2. Generative AI: It Could Redefine “The Theory of Knowledge”
Credit: DALL-E 2 “The contemplation in natural science of a wider domain than the actual leads to a far better understanding of the actual.” — Sir Arthur Eddington In Part 1 of this series, I said “I will refrain from saying that Generative Artificial Intelligence (AI) is the basis for a third school of epistemology”, but recently, I read about the challenges in … [Read more...] about Part 2. Generative AI: It Could Redefine “The Theory of Knowledge”
Part 1. Generative AI: Every Problem is an Information Problem
Image from https://beta.dreamstudio.ai/dream “But the overall pattern is clear: in case after case, when a model can be created and tested, it tends to perform as well as, or better than, human experts making similar decisions. Too often, we continue to rely on human judgment when machines can do better.” — Andrew McAfee, Erik Brynjolfsson [1] The writer David Foster … [Read more...] about Part 1. Generative AI: Every Problem is an Information Problem
Choosing The Right Language Model For Your NLP Use Case
Large Language Models (LLMs) are Deep Learning models trained to produce text. With this impressive ability, LLMs have become the backbone of modern Natural Language Processing (NLP). Traditionally, they are pre-trained by academic institutions and big tech companies such as OpenAI, Microsoft and NVIDIA. Most of them are then made available for public use. This plug-and-play … [Read more...] about Choosing The Right Language Model For Your NLP Use Case
Introduction to Diffusion Models for Machine Learning
This article was originally published on AssemblyAI and re-published to TOPBOTS with permission from the author. Diffusion Models are generative models which have been gaining significant popularity in the past several years, and for good reason. A handful of seminal papers released in the 2020s alone have shown the world what Diffusion models are capable of, such as beating … [Read more...] about Introduction to Diffusion Models for Machine Learning
DALL·E 2, Explained: The Promise And Limitations Of A Revolutionary AI
DALL·E 2 is the newest AI model by OpenAI. If you’ve seen some of its creations and think they’re amazing, keep reading to understand why you’re totally right — but also wrong. OpenAI published a blog post and a paper entitled “Hierarchical Text-Conditional Image Generation with CLIP Latents” on DALL·E 2. The post is fine if you want to get a glimpse at the results … [Read more...] about DALL·E 2, Explained: The Promise And Limitations Of A Revolutionary AI