Deep Learning

The Ultimate Python Guide to structure large LiDAR point cloud for training a 3D Deep Learning Semantic Segmentation Model with the PointNet Architecture. — The application field of 3D deep learning has snowballed in recent years. We have superb applications in various areas, including robotics, autonomous driving & mapping, medical imaging, and entertainment. When we look at the results, we are often awed (but not all the time 😁), and we may think: “I…

Explore the fascinating evolution of large language models (LLMs), from the earliest rule-based systems to the cutting-edge models of today like GPT-4 and Google Bard. Introduction In this overview, we will cover important developments, challenges, and breakthroughs in the field of language models. We will discuss statistical and neural language models…

Eric Cosyn, Senior Director of Applied Research — The recent breakthroughs in generative AI and large language models created concerns in the education community for their potential misuses on matters such as truthfulness, verifiability, and student’s probity. If caution around these technologies is warranted, it is also doubtless that in time they will make their way into the…

Unlocking the Power of YouTube: Harness the collective intelligence of YouTube videos and enable intelligent conversations with the content. — Introduction In today’s digital age, YouTube has revolutionized the way we consume and share video content. From captivating documentaries to catchy music videos, YouTube offers an immense library of videos catering to diverse interests. But what if we could transform this vast repository of visual content into an interactive and intelligent…

Deep Learning has become a vital technology in numerous industries with Python being the go-to language due to powerful libraries like TensorFlow and Keras. But, how to create a deep learning model from scratch using these tools? This step-by-step tutorial will guide you through it. Setting Up Your Environment 🛠️ Before diving into deep learning…

In the previous 2 articles we’ve talked about general NLP (https://medium.com/@umbertofontana/nlp-part-1-introduction-to-nlp-e686611da3da) and how we can transform words into numbers such that also the machine can understand our vocabulary (https://medium.com/@umbertofontana/nlp-part-2-words-representation-d0791d6da89d). In this part, we’re going to extend the previous concept to sentence embedding. …

Ever wondered what’s behind NVIDIA’s recent ascent to becoming a trillion-dollar company? Or why the Graphics Processing Unit (GPU) is so crucial to the realm of artificial intelligence (AI)? Let’s dive into the fascinating world of GPUs, explore the role they play in AI, and understand why NVIDIA is leading…

Large language models (LLMs) pretrained on massive data are being used in countless real-world applications. …

Businesses across industries now recognize the importance of understanding customer opinions and sentiments. By gauging the sentiment behind product reviews, brand mentions, and service feedback, companies can gain vital insights into customer satisfaction, brand perception, and market trends. In this article, we’re diving deep into the exciting world of sentiment…