Editors Pick

Artificial Intelligence Editors Pick

A Coding Implementation to Compress and Benchmark Instruction-Tuned LLMs with FP8, GPTQ, and SmoothQuant Quantization using llmcompressor
ByRicardo May 17, 2026

In this tutorial, we discover how to apply post-training quantization to an instruction-tuned language mannequin using llmcompressor. We begin with an FP16 baseline and then examine a number of compression methods, together with FP8 dynamic quantization, GPTQ W4A16, and SmoothQuant with GPTQ W8A8. Along the way in which, we benchmark every mannequin variant for disk…

Read More A Coding Implementation to Compress and Benchmark Instruction-Tuned LLMs with FP8, GPTQ, and SmoothQuant Quantization using llmcompressor
Data Science Editors Pick

A Coding Guide Implementing SHAP Explainability Workflows with Explainer Comparisons, Maskers, Interactions, Drift, and Black-Box Models
ByRicardo May 17, 2026

In this tutorial, we implement SHAP workflows as a sensible framework for decoding machine studying fashions past fundamental feature-importance plots. We begin by coaching tree-based fashions and then evaluate completely different SHAP explainers, together with Tree, Exact, Permutation, and Kernel strategies, to know how accuracy and runtime change throughout model-aware and model-agnostic approaches. We additionally…

Read More A Coding Guide Implementing SHAP Explainability Workflows with Explainer Comparisons, Maskers, Interactions, Drift, and Black-Box Models
Agentic AI Editors Pick

How to Build Repository-Level Code Intelligence with Repowise Using Graph Analysis, Dead-Code Detection, Decisions, and AI Context
ByRicardo May 16, 2026

In this tutorial, we discover how to use Repowise to construct repository-level intelligence for the itsdangerous Python mission in a sensible and reproducible method. We begin with an already cloned repository, configure Repowise utilizing the obtainable LLM credentials, and initialize its indexing pipeline. We then examine the generated .repowise artifacts, analyze the repository graph with…

Read More How to Build Repository-Level Code Intelligence with Repowise Using Graph Analysis, Dead-Code Detection, Decisions, and AI Context
Agentic AI Editors Pick

How to Build an MCP Style Routed AI Agent System with Dynamic Tool Exposure Planning, Execution, and Context Injection
ByRicardo May 15, 2026

In this tutorial, we construct a completely useful MCP-style routed agent system from scratch, combining software discovery, clever routing, structured planning, and execution right into a single cohesive workflow. We begin by organising a modular software server that exposes capabilities reminiscent of internet search, native retrieval, dataset loading, and Python execution, all outlined by structured…

Read More How to Build an MCP Style Routed AI Agent System with Dynamic Tool Exposure Planning, Execution, and Context Injection
Agentic AI Editors Pick

How to Build a Django-Unfold Admin Dashboard with Custom Models, Filters, Actions, and KPIs
ByRicardo May 15, 2026May 15, 2026

In this tutorial, we construct a sophisticated Django-Unfold admin dashboard. We begin by putting in Django, Django-Unfold, and the required dependencies, then we create a recent Django challenge with a store software. We configure Unfold with a fashionable admin theme, customized sidebar navigation, dashboard callbacks, product badges, tabs, filters, actions, and a customized admin homepage….

Read More How to Build a Django-Unfold Admin Dashboard with Custom Models, Filters, Actions, and KPIs
Data Science Editors Pick

A Coding Implementation to Master GPU Computing with CuPy, Custom CUDA Kernels, Streams, Sparse Matrices, and Profiling
ByRicardo May 15, 2026May 15, 2026

In this tutorial, we delve into CuPy as a robust GPU-accelerated different to NumPy for high-performance numerical computing in Python. We begin by inspecting the accessible CUDA system, checking the CuPy model, runtime particulars, GPU reminiscence, and compute functionality in order that we perceive the {hardware} surroundings earlier than operating heavy computations. Then, we examine…

Read More A Coding Implementation to Master GPU Computing with CuPy, Custom CUDA Kernels, Streams, Sparse Matrices, and Profiling
Editors Pick Security

How to Build a Dynamic Zero-Trust Network Simulation with Graph-Based Micro-Segmentation, Adaptive Policy Engine, and Insider Threat Detection
ByRicardo May 14, 2026

In this tutorial, we construct a lifelike Zero-Trust community simulation by modeling a micro-segmented setting as a directed graph and forcing each request to earn entry by way of steady verification. We implement a dynamic coverage engine that blends ABAC-style permissions with gadget posture, MFA, path reachability, zone sensitivity, and reside danger alerts similar to…

Read More How to Build a Dynamic Zero-Trust Network Simulation with Graph-Based Micro-Segmentation, Adaptive Policy Engine, and Insider Threat Detection
Agentic AI Editors Pick

Build a Hybrid-Memory Autonomous Agent with Modular Architecture and Tool Dispatch Using OpenAI
ByRicardo May 12, 2026

In this tutorial, we start by exploring the structure behind a hybrid-memory autonomous agent. This system combines semantic vector search, keyword-based retrieval, and a modular tool-dispatching loop to create an agent able to reasoning, remembering, and performing autonomously. We stroll by every layer of the design from the bottom up, beginning with summary interfaces that…

Read More Build a Hybrid-Memory Autonomous Agent with Modular Architecture and Tool Dispatch Using OpenAI
Editors Pick New Releases

Meet AntAngelMed: A 103B-Parameter Open-Source Medical Language Model Built on a 1/32 Activation-Ratio MoE Architecture
ByRicardo May 12, 2026May 12, 2026

A crew researchers from China have launched AntAngelMed, a massive open-source medical language mannequin that the crew describes as the biggest and most able to its sort presently out there. What Is AntAngelMed? AntAngelMed is a medical-domain language mannequin with 103 billion whole parameters, however it doesn’t activate all of these parameters throughout inference. Instead,…

Read More Meet AntAngelMed: A 103B-Parameter Open-Source Medical Language Model Built on a 1/32 Activation-Ratio MoE Architecture
Data Science Editors Pick

A Coding Implementation to Portfolio Optimization with skfolio for Building Testing, Tuning, and Comparing Modern Investment Strategies
ByRicardo May 12, 2026

In this tutorial, we discover skfolio, a scikit-learn suitable portfolio optimization library that helps us construct, examine, and consider completely different funding methods in a structured Python workflow. We begin by loading S&P 500 worth knowledge, changing it into returns, and making a time-based train-test cut up appropriate for monetary evaluation. From there, we construct…

Read More A Coding Implementation to Portfolio Optimization with skfolio for Building Testing, Tuning, and Comparing Modern Investment Strategies

Editors Pick

A Coding Implementation to Compress and Benchmark Instruction-Tuned LLMs with FP8, GPTQ, and SmoothQuant Quantization using llmcompressor

A Coding Guide Implementing SHAP Explainability Workflows with Explainer Comparisons, Maskers, Interactions, Drift, and Black-Box Models

How to Build Repository-Level Code Intelligence with Repowise Using Graph Analysis, Dead-Code Detection, Decisions, and AI Context

How to Build an MCP Style Routed AI Agent System with Dynamic Tool Exposure Planning, Execution, and Context Injection

How to Build a Django-Unfold Admin Dashboard with Custom Models, Filters, Actions, and KPIs

A Coding Implementation to Master GPU Computing with CuPy, Custom CUDA Kernels, Streams, Sparse Matrices, and Profiling

How to Build a Dynamic Zero-Trust Network Simulation with Graph-Based Micro-Segmentation, Adaptive Policy Engine, and Insider Threat Detection

Build a Hybrid-Memory Autonomous Agent with Modular Architecture and Tool Dispatch Using OpenAI

Meet AntAngelMed: A 103B-Parameter Open-Source Medical Language Model Built on a 1/32 Activation-Ratio MoE Architecture

A Coding Implementation to Portfolio Optimization with skfolio for Building Testing, Tuning, and Comparing Modern Investment Strategies

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