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Compare and Evaluate Object Detection Models From TorchVision
Author(s): Abby Morgan Originally published on Towards AI. Visualizing the performance of Fast RCNN, Faster RCNN, Mask RCNN, RetinaNet, and FCOS Comparing object detection models from PyTorch; Image by author Introduction Object detection is one of the most popular applications of machine …
SAM: A Image Segmentation Foundation Model
Author(s): Poojatambe Originally published on Towards AI. Segment Anything Model by Facebook’s Meta AI Research SAM With new advances in Generative AI, large-scale models called foundation models are developed. The foundation models are trained on a massive amount of unannotated data and …
Panography: Magic of Seamless Image Stitching
Author(s): Abhijith S Babu Originally published on Towards AI. An example of pornography We all might have used the panorama feature in our smartphone cameras. It helps us to create a high-resolution image that covers a wide angle. We have also seen …
AI in Art: Discovering Beauty in the Uncanny
Author(s): Cezary Gesikowski Originally published on Towards AI. How Generative AI is Shaping the Future of Artistic Aesthetics and Redefining Creative Expression image by the author via PlaygroudAI v1 As an avid explorer of the intersection between art and technology, I’ve been …
ChatGPT Breached
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Tables turned around. I thought ChatGPT would be the vector for more malicious phishing attacks — I forgot they could be the target too Ladies and gentlemen, gather around because I’ve …
How to Efficiently Structure Your Data Processing Code
Author(s): Byron Dolon Originally published on Towards AI. An end-to-end example of pre-processing data using method chaining with the pipe method in Pandas Used with permission from my talented sister ohmintyartz While a lot of attention is spent on making the machine-learning …
5 Commonly Used Python Datasets
Author(s): Yeung WONG Originally published on Towards AI. There are some handy datasets ready to be analysed and can be easily obtained from Python scikit-learn package Scikit-learn (sklearn) provides several datasets that are useful for practicing machine learning techniques. These datasets can …
5 Commonly Used Python Datasets
Author(s): Yeung WONG Originally published on Towards AI. There are some handy datasets ready to be analysed and can be easily obtained from Python scikit-learn package This member-only story is on us. Upgrade to access all of Medium. Scikit-learn (sklearn) provides several …
How To Build Chatbots With Advanced Conditional Statement Understanding
Author(s): ___ Originally published on Towards AI. The LLM and Prompt Engineering Approach This article is a follow-up to my previous piece, “How To Build A Chatbot That Understands Conditional Statements: The Computational Linguistics Approach”, where we learned how to walk a …
Stop Enrolling in Boring Courses! Teach Yourself Sci-Kit Learn With ChatGPT!
Author(s): Gencay I. Originally published on Towards AI. Discover an Engaging Way to Learn Sci-kit Learn: Master Machine Learning and Algorithms with the Power of ChatGPT Stop enrolling in boring courses! Teach yourself Sci-kit learn with ChatGPT!- Image by Author Now we …
Real-Time Sentiment Analysis with Docker, Kafka, and Spark Streaming
Author(s): Clément Delteil Originally published on Towards AI. A Step-By-Step Guide to Deploying a Pre-trained Model in an ETL Process Photo by Vladimir Kramer on Unsplash In one of my previous articles, I compared different classification algorithms and feature extraction functions implemented …
The New Perfusion Model by NVIDIA Explained
Author(s): Louis Bouchard Originally published on Towards AI. Perfusion: Stable Diffusion but more Controllable! Originally published on louisbouchard.ai, read it 2 days before on my blog! Image from Perfusion’s project page. If DALLE or MidJourney doesn’t ring any bell, then I don’t …
The Ultimate Guide to Linear Programming for Big Data Optimization
Author(s): Rahulraj Singh Originally published on Towards AI. Merging statistics, linear algebra, and data science for optimal decision making Photo by Constantin on Unsplash Imagine working for an oil company in the Middle East. A large part of the region’s economy is …
The Art of Prompting: How Accurate Prompts Can Drive Positive Outcomes.
Author(s): Rohini Vaidya Originally published on Towards AI. Takeaways from the newly available free course offered by DeepLearning.AI and OpenAI regarding Prompt engineering for developers. Image Prompt engineering involves designing effective prompts for natural language generation models, such as GPT3, to produce …
Questions on The Governance of AI.
Author(s): Karl Mochel Originally published on Towards AI. Jaron Lanier’s “There is no AI” New Yorker article starts the conversation. Start learning about the broader philosophical issues so you can have a voice in how they get resolved. A whimsical image of …
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