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Areas Served: Supervised and Unsupervised: What’s the difference?
Author(s): Eashan Mahajan Originally published on Towards AI. Photo by Arseny Togulev on Unsplash With machine learning’s surge of popularity in the past few years, more and more people spend hours each day trying to learn as much as they can. The …
JAMBA, the First Powerful Hybrid Model is Here
Author(s): Ignacio de Gregorio Originally published on Towards AI. Toward a Subquadratic Future For almost six years, nothing has beaten the Transformer, the heart of all Generative AI models. However, due to its excessive costs, many have tried to dethrone it, to …
Understanding LangChain Chains for Large Language Model Application Development
Author(s): Youssef Hosni Originally published on Towards AI. Hands-On LangChain for LLMs App Development: Chains One of the fundamental pillars of LangChain, as implied by its name, is the concept of “chains.” These chains typically integrate a large language model (LLM) with …
Inside Jamba: Mamba, Transformers, and MoEs Together to Power a New Form of LLMs
Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using DALL-E I recently started an AI-focused educational newsletter, that already has over 170,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. …
Tuning Word2Vec with Bayesian Optimization: Applied to Music Recommendations
Author(s): Jimmy Jarjoura Originally published on Towards AI. Photo by Glen Carrie on Unsplash Hyperparameter Tuning How we improved our recommendation system at Anghami Providing personalized and engaging recommendation experiences remains a critical challenge in the ever-evolving landscape of recommender systems. While …
Graphs in Motion: Spatio-Temporal Dynamics with Graph Neural Networks
Author(s): Najib Sharifi Originally published on Towards AI. Interconnected graphical data is all around us, ranging from molecular structures to social networks and design structures of cities. Graph Neural Networks (GNNs) are emerging as a powerful method of modeling and learning the …
A Recipe For a Robust Model Development Process
Author(s): Jonte Dancker Originally published on Towards AI. ML models fail silently. A model might fail but still produce some output. We might not even get a signal of why or where our model fails. And there are many reasons for a …
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 …
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