A quick history of AI, Machine Learning and Deep Learning
A quick history of AI, Machine Learning and Deep Learning Subhankar Samanta, provides an insightful and chronological account of the history of Artificial Intelligence, Machine Learning and Deep Learning, published in Nerdy Electronics. To read the full article, please click on this link. Image credit: rawpixel.com on Freepik
Generative AI and Data Privacy: A Primer
Generative AI and Data Privacy: A Primer Kristin E. Busch has written a report for Congressional Research Service, published on May 23, 2023, which provides detailed insight into generative AI and data privacy for policy makers. To read the full report, please click on this link. Image credit: https://pxhere.com/https://pxhere.com/en/photo/1584997?utm_content=shareClip&utm_medium=referral&utm_source=pxhere
Research Article: Attention is all you need
Research Article: Attention is all you need Do you want to learn about transformers? This research article provides a very elaborate explanation.
The Little Book of Deep Learning
The Little Book of Deep Learning François Fleuret, professor of computer science at the University of Geneva (Switzerland), has written a book about deep learning. His book targets STEM background readers looking for a minimum technical knowledge to understand NLP and generative models. To read the book, please click on this link.
Why Generative AI is more dangerous than you think
Why Generative AI is more dangerous than you think A lot has been written about the dangers of generative AI in recent months and yet everything I’ve seen boils down to three simple arguments, none of which reflects the biggest risk I see headed our way. Before I get into this hidden danger of generative AI, it […]
EU Proposes New Copyright Rules for Generative AI
EU Proposes New Copyright Rules for Generative AI In this Reuters article, Supantha Mukherjee, Foo Yun Chee and Martin Coulter write about the new proposal within the EU parliament about copyright of generative AI. To read the full article, please click on this link.
Course: ChatGPT Prompt Engineering for Developers
Course: ChatGPT Prompt Engineering for Developers In this short course taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI) describe how LLMs work, provide best practices for prompt engineering, and show how LLM APIs can be used in applications for a variety of tasks, including: Summarizing (e.g., summarizing user reviews for brevity) Inferring (e.g., sentiment […]
AI Cannot Read Your Mind
AI Cannot Read Your Mind Authors: Visar Berisha and Pavan Turaga (Arizona State University) Can AI read your mind? That is the question on many minds these days. A recent study to be published at the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2023 has been cited in popular media as evidence […]
McKinsey’s Global Survey On State of AI in 2022
The results of this year’s McKinsey Global Survey on AI show the expansion of the technology’s use since we began tracking it five years ago, but with a nuanced picture underneath. Adoption has more than doubled since 2017, though the proportion of organizations using AI has plateaued between 50 and 60 percent for the past few years. […]
AI Models Capable of Captioning Images
Salesforce has launched a new model called BLIP which can caption images, visual question-answering, and image-text matching. To learn more, please read the LinkedIn post by Younes Belkada. You can also read the original paper here, or play with the model yourself by clicking here.