What is MLSecOps(Secure CI/CD for Machine Learning)?: Top MLSecOps Tools (2025)
Machine learning (ML) is transforming industries, powering innovation in domains as varied as financial services, healthcare, autonomous systems, and e-commerce. However, as organizations operationalize ML models at scale, traditional approaches…
Your LLM is 5x Slower Than It Should Be. The Reason? Pessimism—and Stanford Researchers Just Showed How to Fix It
In the fast-paced world of AI, large language models (LLMs) like GPT-4 and Llama are powering everything from chatbots to code assistants. But here’s a dirty secret: your LLM inference—the…
Building a Reliable End-to-End Machine Learning Pipeline Using MLE-Agent and Ollama Locally
We begin this tutorial by showing how we can combine MLE-Agent with Ollama to create a fully local, API-free machine learning workflow. We set up a reproducible environment in Google…
Microsoft Released VibeVoice-1.5B: An Open-Source Text-to-Speech Model that can Synthesize up to 90 Minutes of Speech with Four Distinct Speakers
Microsoft’s latest open source release, VibeVoice-1.5B, redefines the boundaries of text-to-speech (TTS) technology—delivering expressive, long-form, multi-speaker generated audio that is MIT licensed, scalable, and highly flexible for research use. This…
SEA-LION v4: Multimodal Language Modeling for Southeast Asia
AI Singapore (AISG) has released SEA-LION v4, an open-source multimodal language model developed in collaboration with Google and based on the Gemma 3 (27B) architecture. The model is designed to…
Google AI Introduced Guardrailed-AMIE (g-AMIE): A Multi-Agent Approach to Accountability in Conversational Medical AI
Recent advances in large language model (LLM)-powered diagnostic AI agents have yielded systems capable of high-quality clinical dialogue, differential diagnosis, and management planning in simulated settings. Yet, delivering individual diagnoses…
How Do GPUs and TPUs Differ in Training Large Transformer Models? Top GPUs and TPUs with Benchmark
Both GPUs and TPUs play crucial roles in accelerating the training of large transformer models, but their core architectures, performance profiles, and ecosystem compatibility lead to significant differences in use…
How to Implement the LLM Arena-as-a-Judge Approach to Evaluate Large Language Model Outputs
In this tutorial, we will explore how to implement the LLM Arena-as-a-Judge approach to evaluate large language model outputs. Instead of assigning isolated numerical scores to each response, this method…
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…














