How to Design an Advanced Multi-Page Interactive Analytics Dashboard with Dynamic Filtering, Live KPIs, and Rich Visual Exploration Using PanelMarkTechPost In this tutorial, we build an advanced multi-page interactive dashboard using Panel. Through each component of implementation, we explore how to generate synthetic data, apply rich filters, visualize dynamic time-series trends, compare segments and regions, and even simulate live KPI updates. We design the system step by step so we can truly understand how each
The post How to Design an Advanced Multi-Page Interactive Analytics Dashboard with Dynamic Filtering, Live KPIs, and Rich Visual Exploration Using Panel appeared first on MarkTechPost.
In this tutorial, we build an advanced multi-page interactive dashboard using Panel. Through each component of implementation, we explore how to generate synthetic data, apply rich filters, visualize dynamic time-series trends, compare segments and regions, and even simulate live KPI updates. We design the system step by step so we can truly understand how each
The post How to Design an Advanced Multi-Page Interactive Analytics Dashboard with Dynamic Filtering, Live KPIs, and Rich Visual Exploration Using Panel appeared first on MarkTechPost. Read More
The Machine Learning and Deep Learning “Advent Calendar” Series: The BlueprintTowards Data Science Opening the black box of ML models, step by step, directly in Excel
The post The Machine Learning and Deep Learning “Advent Calendar” Series: The Blueprint appeared first on Towards Data Science.
Opening the black box of ML models, step by step, directly in Excel
The post The Machine Learning and Deep Learning “Advent Calendar” Series: The Blueprint appeared first on Towards Data Science. Read More
Meta AI Researchers Introduce Matrix: A Ray Native a Decentralized Framework for Multi Agent Synthetic Data GenerationMarkTechPost How do you keep synthetic data fresh and diverse for modern AI models without turning a single orchestration pipeline into the bottleneck? Meta AI researchers introduce Matrix, a decentralized framework where both control and data flow are serialized into messages that move through distributed queues. As LLM training increasingly relies on synthetic conversations, tool traces
The post Meta AI Researchers Introduce Matrix: A Ray Native a Decentralized Framework for Multi Agent Synthetic Data Generation appeared first on MarkTechPost.
How do you keep synthetic data fresh and diverse for modern AI models without turning a single orchestration pipeline into the bottleneck? Meta AI researchers introduce Matrix, a decentralized framework where both control and data flow are serialized into messages that move through distributed queues. As LLM training increasingly relies on synthetic conversations, tool traces
The post Meta AI Researchers Introduce Matrix: A Ray Native a Decentralized Framework for Multi Agent Synthetic Data Generation appeared first on MarkTechPost. Read More
The Greedy Boruta Algorithm: Faster Feature Selection Without Sacrificing RecallTowards Data Science A modification to the Boruta algorithm that dramatically reduces computation while maintaining high sensitivity
The post The Greedy Boruta Algorithm: Faster Feature Selection Without Sacrificing Recall appeared first on Towards Data Science.
A modification to the Boruta algorithm that dramatically reduces computation while maintaining high sensitivity
The post The Greedy Boruta Algorithm: Faster Feature Selection Without Sacrificing Recall appeared first on Towards Data Science. Read More
The Best Proxy Providers for Large-Scale Scraping for 2026KDnuggets Robust proxies allow you to rotate identities, reach any region, and bypass sophisticated anti-bot systems, all while protecting your infrastructure from blocks and blacklisting.
Robust proxies allow you to rotate identities, reach any region, and bypass sophisticated anti-bot systems, all while protecting your infrastructure from blocks and blacklisting. Read More
StepFun AI Releases Step-Audio-R1: A New Audio LLM that Finally Benefits from Test Time Compute ScalingMarkTechPost Why do current audio AI models often perform worse when they generate longer reasoning instead of grounding their decisions in the actual sound. StepFun research team releases Step-Audio-R1, a new audio LLM designed for test time compute scaling, address this failure mode by showing that the accuracy drop with chain of thought is not an
The post StepFun AI Releases Step-Audio-R1: A New Audio LLM that Finally Benefits from Test Time Compute Scaling appeared first on MarkTechPost.
Why do current audio AI models often perform worse when they generate longer reasoning instead of grounding their decisions in the actual sound. StepFun research team releases Step-Audio-R1, a new audio LLM designed for test time compute scaling, address this failure mode by showing that the accuracy drop with chain of thought is not an
The post StepFun AI Releases Step-Audio-R1: A New Audio LLM that Finally Benefits from Test Time Compute Scaling appeared first on MarkTechPost. Read More
Metric Deception: When Your Best KPIs Hide Your Worst FailuresTowards Data Science The most dangerous KPIs aren’t broken; they’re the ones trusted long after they’ve lost their meaning.
The post Metric Deception: When Your Best KPIs Hide Your Worst Failures appeared first on Towards Data Science.
The most dangerous KPIs aren’t broken; they’re the ones trusted long after they’ve lost their meaning.
The post Metric Deception: When Your Best KPIs Hide Your Worst Failures appeared first on Towards Data Science. Read More
NVIDIA AI Releases Orchestrator-8B: A Reinforcement Learning Trained Controller for Efficient Tool and Model SelectionMarkTechPost How can an AI system learn to pick the right model or tool for each step of a task instead of always relying on one large model for everything? NVIDIA researchers release ToolOrchestra, a novel method for training a small language model to act as the orchestrator- the ‘brain’ of a heterogeneous tool-use agent From
The post NVIDIA AI Releases Orchestrator-8B: A Reinforcement Learning Trained Controller for Efficient Tool and Model Selection appeared first on MarkTechPost.
How can an AI system learn to pick the right model or tool for each step of a task instead of always relying on one large model for everything? NVIDIA researchers release ToolOrchestra, a novel method for training a small language model to act as the orchestrator- the ‘brain’ of a heterogeneous tool-use agent From
The post NVIDIA AI Releases Orchestrator-8B: A Reinforcement Learning Trained Controller for Efficient Tool and Model Selection appeared first on MarkTechPost. Read More
A Coding Guide to Design an Agentic AI System Using a Control-Plane Architecture for Safe, Modular, and Scalable Tool-Driven Reasoning WorkflowsMarkTechPost In this tutorial, we build an advanced Agentic AI using the control-plane design pattern, and we walk through each component step by step as we implement it. We treat the control plane as the central orchestrator that coordinates tools, manages safety rules, and structures the reasoning loop. Also, we set up a miniature retrieval system,
The post A Coding Guide to Design an Agentic AI System Using a Control-Plane Architecture for Safe, Modular, and Scalable Tool-Driven Reasoning Workflows appeared first on MarkTechPost.
In this tutorial, we build an advanced Agentic AI using the control-plane design pattern, and we walk through each component step by step as we implement it. We treat the control plane as the central orchestrator that coordinates tools, manages safety rules, and structures the reasoning loop. Also, we set up a miniature retrieval system,
The post A Coding Guide to Design an Agentic AI System Using a Control-Plane Architecture for Safe, Modular, and Scalable Tool-Driven Reasoning Workflows appeared first on MarkTechPost. Read More
How to Scale Your LLM usageTowards Data Science Learn how to increase LLM usage to achieve increased productivity
The post How to Scale Your LLM usage appeared first on Towards Data Science.
Learn how to increase LLM usage to achieve increased productivity
The post How to Scale Your LLM usage appeared first on Towards Data Science. Read More