This article was originally published on the author’s blog and re-published to TOPBOTS with permission from the author. Large language models such as ChatGPT process and generate text sequences by first splitting the text into smaller units called tokens. In the image below, each colored block represents a unique token. Short or common words such as “you”, “say”, “loud”, and … [Read more...] about All Languages Are NOT Created (Tokenized) Equal
artificial intelligence
Four LLM Trends Since ChatGPT And Their Implications For AI Builders
In October 2022, I published an article on LLM selection for specific NLP use cases , such as conversation, translation and summarisation. Since then, AI has made a huge step forward, and in this article, we will review some of the trends of the past months as well as their implications for AI builders. Specifically, we will cover the topics of task selection for … [Read more...] about Four LLM Trends Since ChatGPT And Their Implications For AI Builders
Top 6 Research Papers On Diffusion Models For Image Generation
Midjourney Evolution. V1 – V5.1 In 2015, a research paper from Stanford University and UC Berkeley introduced diffusion models, coming originally from statistical physics, into the field of machine learning. According to the paper summary, “the essential idea is to systematically and slowly destroy the structure in a data distribution through an iterative forward diffusion … [Read more...] about Top 6 Research Papers On Diffusion Models For Image Generation
Similarity-Based Image Search for Visual Art
Similarity-based image search, also known as content-based image retrieval, has historically been a challenging computer vision task. This problem is especially difficult for visual art, because it is less obvious as to what a metric of “similarity” should be defined as and who should set that standard for art. For example, when I upload a photo of a wall mural … [Read more...] about Similarity-Based Image Search for Visual Art
A Guide To Knowledge Graphs
Table of Contents Introduction- What is a Knowledge Graph (KG)?- Why KG?- How to use KG?KG in practice- Open source KGs- Creating custom KG- KG ontology- Hosting KG (database)- Query facts from KG Introduction In this section, we will introduce KG by asking some simple but intuitive questions about KG. In fact, we will cover the what, why, and how of the knowledge … [Read more...] about A Guide To Knowledge Graphs
Best Artificial Intelligence Conferences For Business Leaders In 2019
Everyone’s excited about AI and machine learning these days, so new conferences are popping up everywhere. We’ve identified more than 150 events on our ultimate AI conference list, but which ones are actually worth your time? Which AI Conferences Have The Most ROI For Business Leaders? As a business leader, you want to learn about new technologies from experienced … [Read more...] about Best Artificial Intelligence Conferences For Business Leaders In 2019
A Taste Of Tomorrow: How Food and Beverage Companies Leverage AI
People have become picky eaters. Our ancestors ate whatever they could forage, but modern day Homo Sapiens expect gourmet meals at street food prices on demand. Consumers prefer fast, affordable, healthy, and delicious. To meet fickle consumer tastes, food and beverage (F&B) companies look to artificial intelligence to help them scale new products and stay profitable. … [Read more...] about A Taste Of Tomorrow: How Food and Beverage Companies Leverage AI
How To Beat Google and Facebook In The War For AI Talent
Jean-François Gagné, the founder of leading AI company Element.AI, calculated that there are fewer than 10,000 people in the world currently qualified to do state-of-the-art AI research and engineering. Many of them are gainfully employed and hard to poach. If you’re looking to recruit machine learning graduates, the head of a prominent Silicon Valley AI lab recently admitted … [Read more...] about How To Beat Google and Facebook In The War For AI Talent
4 Approaches To Natural Language Processing & Understanding
In 1971, Terry Winograd wrote the SHRDLU program while completing his PhD at MIT. SHRDLU features a world of toy blocks where the computer translates human commands into physical actions, such as “move the red pyramid next to the blue cube.” To succeed in such tasks, the computer must build up semantic knowledge iteratively, a process Winograd discovered was brittle and … [Read more...] about 4 Approaches To Natural Language Processing & Understanding
Understanding The Limits Of Deep Learning
Artificial intelligence has reached peak hype. News outlets report that companies have replaced workers with IBM Watson and algorithms are beating doctors at diagnoses. New A.I. startups pop up every day and claim to solve all your personal and business problems with machine learning. Ordinary objects like juicers and wifi routers suddenly advertise … [Read more...] about Understanding The Limits Of Deep Learning