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

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

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

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.

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

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

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

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

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

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

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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