The Secret Power of Data Science in Customer Support
content online focuses on how it can be applied in Product or Marketing — the two most common fields where ...
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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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Hands-On Attention Mechanism for Time Series Classification, with Python
is a game changer in Machine Learning. In fact, in the recent history of Deep Learning, the idea of allowing ...
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GAIA: The LLM Agent Benchmark Everyone’s Talking About
were making headlines last week. In Microsoft’s Build 2025, CEO Satya Nadella introduced the vision of an “open agentic web” ...
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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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Multi-Agent Communication with the A2A Python SDK
If under a rock and you work with AI, you’ve probably heard about Agent2Agent (A2A) Protocol, “an open standard designed ...
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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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Why Regularization Isn’t Enough: A Better Way to Train Neural Networks with Two Objectives
neural networks, we often juggle two competing objectives. For example, maximizing predictive performance while also meeting a secondary goal like fairness, interpretability, ...
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Code Agents: The Future of Agentic AI
of AI agents. LLMs are no longer just tools. They’ve become active participants in our lives, boosting productivity and transforming ...
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How to Evaluate LLMs and Algorithms — The Right Way
Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep dives, ...
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