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In this tutorial, we build a complete workflow for running Baidu’s Unlimited-OCR model on document images and multi-page PDFs. We configure the GPU environment, install the…

like Claude Code can be used for a wide variety of tasks. The number one task you might think of is to actually implement code. However,…

In this tutorial, we build an end-to-end 3D medical image segmentation pipeline using MONAI to segment the spleen on the Medical Segmentation Decathlon Task09 dataset. We…

TEXT_COL = “skill_md_content” NUM_COLS = [“skillspector_score”, “static_finding_count”, “skillspector_issue_count”, “virustotal_malicious_count”] TARGET = “clawscan_verdict” def prep(df): out = df.copy() out[TEXT_COL] = out[TEXT_COL].fillna(“”).astype(str).str.slice(0, 6000) for c in NUM_COLS: out[c]…

import os, sys, subprocess, textwrap, stat BASE = “/content/ansible_lab” if os.path.isdir(“/content”) else os.path.expanduser(“~/ansible_lab”) os.makedirs(BASE, exist_ok=True) ENV = os.environ.copy() ENV[“ANSIBLE_CONFIG”] = os.path.join(BASE, “ansible.cfg”) ENV[“ANSIBLE_FORCE_COLOR”] = “1” ENV[“PY_COLORS”]…

StepFun, the Shanghai-based AI lab, released StepAudio 2.5 Realtime. It is an end-to-end real-time speech large language model with fully customizable persona capabilities. StepAudio 2.5 Realtime…

If you have been running reinforcement learning (RL) post-training on a language model for math reasoning, code generation, or any verifiable task, you have almost certainly…

EPOCHS = 15 opt = torch.optim.AdamW(model.parameters(), lr=1e-3, weight_decay=1e-4) sched = torch.optim.lr_scheduler.CosineAnnealingLR(opt, T_max=EPOCHS) loss_fn = nn.MSELoss() hist = {“tr”: [], “va”: [], “r”: []} def pearson(a, b):…

BATCH = 128 EPOCHS = 30 steps_per_epoch = len(X_train) // BATCH train_losses, val_losses = [], [] t0 = time.time() for epoch in range(EPOCHS): key, sk =…

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…