that actually work in practice is not an easy task. You need to consider how to orchestrate the multi-step workflow, keep track of the agents’ states, implement necessary guardrails, and monitor decision processes as they happen. Fortunately, LangGraph addresses exactly those pain points for you. Recently, Google just demonstrated this perfectly by open-sourcing a full-stack …
LangGraph 101: Let’s Build A Deep Research Agent Read More »
Image by Author Contents# Introduction# 1. Project Setup and Dependencies# 2. Building the FastAPI Application# 3. Writing the Locust Stress Test# 4. Running the Stress Test# Final Thoughts # Introduction Stress testing is crucial for understanding how your application behaves under heavy load. For machine learning-powered APIs, it is especially important because model inference can be CPU-intensive. By simulating a large …
The last few months have been an exciting time for the Gemma family of open models. We introduced Gemma 3 and Gemma 3 QAT, delivering state-of-the-art performance for single cloud and desktop accelerators. Then, we announced the full release of Gemma 3n, a mobile-first architecture bringing powerful, real-time multimodal AI directly to edge devices. Our …
Introducing Gemma 3 270M: The compact model for hyper-efficient AI Read More »
discuss how you can perform automatic evaluations using LLM as a judge. LLMs are widely used today for a variety of applications. However, an often underestimated aspect of LLMs is their use case for evaluation. With LLM as a judge, you utilize LLMs to judge the quality of an output, whether it be giving it …
How to Use LLMs for Powerful Automatic Evaluations Read More »
Image by Editor | ChatGPT Contents# Introduction# Prerequisites# Installing Neo4j# Initial Setup and Configuration# Accessing the Neo4j Browser# Basic Cypher Commands# Next Steps# Conclusion # Introduction Neo4j is a powerful database that works with connected data. Unlike traditional databases that use tables, Neo4j uses nodes and relationships. This setup makes it easy to explore complex links in data. Neo4j is popular for projects …
Getting Started with Neo4j: Installation and Setup Guide Read More »
Current AI benchmarks are struggling to keep pace with modern models. As helpful as they are to measure model performance on specific tasks, it can be hard to know if models trained on internet data are actually solving problems or just remembering answers they’ve already seen. As models reach closer to 100% on certain benchmarks, …
Kaggle Game Arena evaluates AI models through games Read More »
Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep dives, community news, and more. It’s tempting to think that what separates a successful machine learning project from a not-so-great one is a cutting-edge model, more computing power, or a few extra teammates. In reality, throwing more resources …
How to Design Machine Learning Experiments — the Right Way Read More »
Image by Author | ChatGPT Contents# Introduction# The AI Advantage in Feature Engineering# The Solution: A 5-Node AI Analysis Pipeline# Building the Workflow: Step-by-Step Implementation# Technical Deep Dive: The Intelligence Engine# Testing with Different Scenarios# Next Steps: Scaling AI-Assisted Data Science# Conclusion # Introduction Feature engineering gets called the ‘art’ of data science for good reason — experienced data scientists develop this intuition …
AI-Powered Feature Engineering with n8n: Scaling Data Science Intelligence Read More »
Science Published 7 August 2025 Authors The Perch Team Our new Perch model helps conservationists analyze audio faster to protect endangered species, from Hawaiian honeycreepers to coral reefs. One of the ways scientists protect the health of our planet’s wild ecosystems is by using microphones (or underwater hydrophones) to collect vast amounts of audio dense …
How AI is helping advance the science of bioacoustics to save endangered species Read More »
In Part 3.1 we started discussing how decomposes the time series data into trend, seasonality, and residual components, and as it is a smoothing-based technique, it means we need rough estimates of trend and seasonality for STL to perform smoothing. For that, we calculated a rough estimate of a trend by calculating it using the …
Time Series Forecasting Made Simple (Part 3.2): A Deep Dive into LOESS-Based Smoothing Read More »
