Spatial Intelligence: Why GIS Practitioners Should Embrace Machine Learning- How to Get Started.
Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Created by the author with DALL E-3 Statistics, regression model, algorithm validation, Random Forest, K Nearest Neighbors and Naïve Bayes— what in God’s name do all these complicated concepts have to do with …
Top Important LLM Papers for the Week from 25/03 to 31/03
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the …
Optimizing Emergency Response in Calgary
Author(s): Vishnu Regimon Nair Originally published on Towards AI. Optimizing Emergency Response in Calgary Photo by Constante Lim on Unsplash Facing the Growing Challenge: Optimizing Emergency Response Times in Calgary With the ever-increasing population and evolving cities, the demand and need for …
Going Beyond Zero/Few-Shot: Chain of Thought Prompting for Complex LLM Tasks
Author(s): Abhinav Kimothi Originally published on Towards AI. Source : Image generated by author using Yarnit It is quite astonishing how Large Language Models or LLMs (GPT, Claude, Gemini etc.) have captured the world’s imagination. It’s a powerful technology that can tackle …
From Development to Deployment of an AI Model Using Azure
Author(s): Prashant Kalepu Originally published on Towards AI. Photo by Lala Azizli on Unsplash Hey there, fellow learners! U+1F44B Welcome to another exciting journey in the realm of machine learning. Today, we’re going to discuss about the often overlooked but incredibly crucial …
Building an End-to-End Machine Learning Project to Reduce Delays in Aggressive Cancer Care.
Author(s): Juliusnyambok Originally published on Towards AI. Building an End-to-End Machine Learning Project to Reduce Delays in Aggressive Cancer Care. After years of battling over control of the TV (sparked by my sister’s questionable obsession with true crime), my sister, the brilliant …
Keras Convolution layer — shapes of input, weights and output
Author(s): Sujeeth Kumaravel Originally published on Towards AI. Keras Convolution layer — shapes of input, weights and output TensorFlow is one of the packages to develop solutions for machine learning problems. Keras is a module in TensorFlow that specifically offers tools to …
RAG in Production: Chunking Decisions
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Prototype to Production; All about chunking strategies and the decision process to avoid failures Different domains and types of queries require different chunking strategies. A flexible chunking approach allows the RAG …
How to Deploy Models Larger than 100MB on Streamlit
Author(s): Rifat Monzur Originally published on Towards AI. Three methods for deploying machine learning models larger than 100MB on StreamlitPhoto by Pat Whelen on Unsplash For the last couple of months, I’ve been searching for an easy solution to create user interfaces …
Top Important Computer Vision Papers for the Week from 25/03 to 31/03
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition, vision model optimization, …
Configure DVC 🖇️ Amazon S3 Bucket
Author(s): ronilpatil Originally published on Towards AI. Configure DVC U+1F587️ Amazon S3 Bucket Image by Author Hello everyone, I hope you are doing well. If you’re interested in the MLOps domain, this blog will be quite fascinating. Here I’ll demonstrate “How to …
Volga — Open-source Feature Engine for real-time AI — Part 2
Author(s): Andrey Novitskiy Originally published on Towards AI. This is the second part of a 2-post series describing Volga’s architecture and technical details. For motivation and the problem’s background, see the first part. Volga river TL;DR Volga is an open-source real-time feature …
Volga — Open-source Feature Engine For Real-time AI — Part 1
Author(s): Andrey Novitskiy Originally published on Towards AI. This is the first part of a 2-post series describing the background and motivation behind Volga. For technical details, see the second part. Volga river TL;DR Volga is an open-source, self-serve, scalable data/feature calculation …
The revolutionizing potential of the new Natural Language Processing
Author(s): Navruzbek Ibadullaev Originally published on Towards AI. Image created by deepai.org In the tech world, NLP represents a technological shift and approach to human communication with technology entirely differently. The NLP helps in developing artificial intelligence thanks to the recognized machines …
Midjourney Explorations — Fancy Framing with Style Reference Images
Author(s): PromptDervish Originally published on Towards AI. Use sref and cref to create intriguing new images with combined traits. Did you know you can use style reference images (sref) to add a frame to your image in Midjourney? If you begin with …
Popular posts
Updates
Recent Posts
