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fig, axes = plt.subplots(2, 2, figsize=(14, 10)) colors_a = [“gray”, “#1f77b4”, “#ff7f0e”, “#2ca02c”, “#d62728″][: len(asmd_means)] axes[0, 0].bar(list(asmd_means.keys()), list(asmd_means.values()), color=colors_a) axes[0, 0].axhline(0.1, ls=”–“, color=”red”, label=”0.10 imbalance threshold”)…

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…

Maintaining model agility is crucial for organizations to adapt to technological advancements and optimize their artificial intelligence (AI) solutions. Whether transitioning between different large language model…

In this tutorial, we build a complete, production-style pipeline for detecting and redacting personally identifiable information using the OpenAI Privacy Filter. We begin by setting up…

Motorola has finally unveiled its 2026 Razr lineup, and while the preorder deals don’t officially go live until May 14th, there are a few things you…

Google just changed how developers do research. On April 21, 2026, they launched Deep Research Max. It runs on Gemini 3.1 Pro and is not just…

Welcome to episode 30 of The Sideload, a 9to5Google podcast. This week, Will welcomes Damien Wilde back to the show to discuss everyone’s favorite topic: price hikes. With…

Imagine asking your AI model, “What’s the weather in Tokyo right now?” and instead of hallucinating an answer, it calls your actual Python function, fetches live…

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…

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 =…