Beyond Model Stacking: The Architecture Principles That Make Multimodal AI Systems Work

1. It with a Vision While rewatching Iron Man, I found myself captivated by how deeply JARVIS could understand a ...
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Beyond Code Generation: Continuously Evolve Text with LLMs

the initial response from an LLM doesn’t suit you? You rerun it, right? Now, if you were to automate that… ...
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Regularisation: A Deep Dive into Theory, Implementation, and Practical Insights

This blog is a deep dive into regularisation techniques, intended to give you simple intuitions, mathematical foundations, and implementation details. ...
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Prescriptive Modeling Unpacked: A Complete Guide to Intervention With Bayesian Modeling.

In this article, I will demonstrate how to move from simply forecasting outcomes to actively intervening in systems to steer ...
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Building a Modern Dashboard with Python and Gradio

second in a short series on developing data dashboards using the latest Python-based GUI development tools, Streamlit, Gradio, and Taipy. ...
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Agentic RAG Applications: Company Knowledge Slack Agents

I that most companies would have built or implemented their own Rag agents by now. An AI knowledge agent can ...
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From Data to Stories: Code Agents for KPI Narratives

, we often need to investigate what’s going on with KPIs: whether we’re reacting to anomalies on our dashboards or ...
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Bayesian Optimization for Hyperparameter Tuning of Deep Learning Models

to tune hyperparamters of deep learning models (Keras Sequential model), in comparison with a traditional approach — Grid Search. Bayesian Optimization Bayesian ...
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Estimating Product-Level Price Elasticities Using Hierarchical Bayesian

In this article, I will introduce you to hierarchical Bayesian (HB) modelling, a flexible approach to automatically combine the results ...
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Multiple Linear Regression Analysis | Towards Data Science

full code for this example at the bottom of this post. Multiple regression is used when your response variable Y ...
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