Browsing: Guide

It’s been almost 50 years since George Lucas first introduced us to the Star Wars universe. Since then, we’ve had theatrical films and a whopping collection of…

import subprocess, sys subprocess.check_call([sys.executable, “-m”, “pip”, “install”, “-q”, “-U”, “torchao>=0.16”, “trl>=0.20”, “transformers>=4.45”, “datasets”, “peft>=0.13”, “accelerate”, “bitsandbytes”, ]) import sys as _sys for _m in [m for…

A gateway is a device (usually instantiated in software) that fronts both types of service. It handles authentication, rate limits, logging, monitoring, and access control. If…

, machine learning is a hypercompetitive game of ensemble engineering. The difference of a slight improvement in lap time or loss scores can be measured in…

 article, we planned to tackle one of the main challenges in document summarization, i.e., handling documents that are too large for a single API request. We…

In this tutorial, we explore property-based testing using Hypothesis and build a rigorous testing pipeline that goes far beyond traditional unit testing. We implement invariants, differential…

consumer = huey.create_consumer( workers=4, worker_type=WORKER_THREAD, periodic=True, initial_delay=0.1, backoff=1.15, max_delay=2.0, scheduler_interval=1, check_worker_health=True, health_check_interval=10, flush_locks=False, ) consumer_thread = threading.Thread(target=consumer.run, daemon=True) consumer_thread.start() print(“Consumer started (threaded).”) print(“\nEnqueue basics…”) r1 =…

In this tutorial, we explore how to run OpenAI’s open-weight GPT-OSS models in Google Colab with a strong focus on their technical behavior, deployment requirements, and…

a distributed multi-agent system both in OpenClaw and AWS AgentCore for a while now. In my OpenClaw setup alone, it has a research agent, a writing…

Introduction demands large-scale models and data, pushing compute hardware to its limits. Whether you are training models on complex images, processing long-context documents, or running high-throughput…