A Coding Guide to Build Flexible Multi-Model Workflows in GluonTS with Synthetic Data, Evaluation, and Advanced Visualizations

def plot_advanced_forecasts(test_data, forecasts_dict, series_idx=0): “””Advanced plotting with multiple models and uncertainty bands””” fig, axes = plt.subplots(2, 2, figsize=(15, 10)) fig.suptitle(‘Advanced GluonTS Forecasting Results’, fontsize=16, fontweight=”bold”) if not forecasts_dict: fig.text(0.5, 0.5,…

What is a Database? Modern Database Types, Examples, and Applications (2025)

In today’s data-driven world, databases form the backbone of modern applications—from mobile apps to enterprise systems. Understanding the different types of databases and their applications is crucial for selecting the right…

Build vs Buy for Enterprise AI (2025): A U.S. Market Decision Framework for VPs of AI Product

Enterprise AI in the U.S. has left the experimentation phase. CFOs expect clear ROI, boards expect evidence of risk oversight, and regulators expect controls consistent with existing risk management obligations.…

GPZ: A Next-Generation GPU-Accelerated Lossy Compressor for Large-Scale Particle Data

Particle-based simulations and point-cloud applications are driving a massive expansion in the size and complexity of scientific and commercial datasets, often leaping into the realm of billions or trillions of…

A Full Code Implementation to Design a Graph-Structured AI Agent with Gemini for Task Planning, Retrieval, Computation, and Self-Critique

In this tutorial, we implement an advanced graph-based AI agent using the GraphAgent framework and the Gemini 1.5 Flash model. We define a directed graph of nodes, each responsible for…

Prefix-RFT: A Unified Machine Learning Framework to blend Supervised Fine-Tuning (SFT) and Reinforcement Fine-Tuning (RFT)

Large language models are typically refined after pretraining using either supervised fine-tuning (SFT) or reinforcement fine-tuning (RFT), each with distinct strengths and limitations. SFT is effective in teaching instruction-following through…

JSON Prompting for LLMs: A Practical Guide with Python Coding Examples

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional text-based prompts, which can…

What is a Voice Agent in AI? Top 9 Voice Agent Platforms to Know (2025)

What is a Voice Agent? An AI voice agent is a software system that can hold two-way, real-time conversations over the phone or internet (VoIP).…

Large Language Models LLMs vs. Small Language Models SLMs for Financial Institutions: A 2025 Practical Enterprise AI Guide

No single solution universally wins between Large Language Models (LLMs, ≥30B parameters, often via APIs) and Small Language Models (SLMs, ~1–15B, typically open-weights or proprietary specialist models). For banks, insurers,…

Google AI Proposes Novel Machine Learning Algorithms for Differentially Private Partition Selection

Differential privacy (DP) stands as the gold standard for protecting user information in large-scale machine learning and data analytics. A critical task within DP is partition selection—the process of safely…