Generative AI

Implementation of Coding in Microsoft SkillOpt for Instrumented Prompt Development, Adaptive Skill Analysis, and Baseline Comparison

Implementation of Coding in Microsoft SkillOpt for Instrumented Prompt Development, Adaptive Skill Analysis, and Baseline Comparison

k = RUN_KNOBS train_out = run_cli(["python","scripts/train.py","--config",CFG,"--split_dir",SPLIT, "--optimizer_model",OPTIMIZER_MODEL,"--target_model",TARGET_MODEL,"--out_root",RUN, *COMMON, "train.train_size=0", f"train.num_epochs={k['num_epochs']}", f"train.batch_size={k['batch_size']}", f"gradient.minibatch_size={k['minibatch']}", f"gradient.merge_batch_size={k['merge_batch']}", f"gradient.analyst_workers={k['workers']}", f"optimizer.learning_rate={k['lr']}", f"optimizer.lr_scheduler={k['lr_sched']}", "optimizer.use_slow_update=true", "optimizer.use_meta_skill=true", f"env.workers={k['workers']}", f"env.limit={k['limit']}"],…
I-Google AI Ikhipha I-DiffusionGemma, imodeli evuliwe engu-26B MoE Esebenzisa Ukusabalalisa Umbhalo kuze kufike esizukulwaneni esisheshayo esingu-4x

I-Google AI Ikhipha I-DiffusionGemma, imodeli evuliwe engu-26B MoE Esebenzisa Ukusabalalisa Umbhalo kuze kufike esizukulwaneni esisheshayo esingu-4x

Ithimba le-Google AI elihlanganisa abacwaningi be-Google DeepMind basanda kukhipha i-DiffusionGemma, imodeli evuliwe yokuhlola yokukhiqiza umbhalo. Isebenzisa ukuhluka kombhalo esikhundleni sokukhishwa…
Top AI Coding Agents and Development Platforms in 2026: Atoms, Devin, Windsurf, Cursor, Warp, and More Compared

Top AI Coding Agents and Development Platforms in 2026: Atoms, Devin, Windsurf, Cursor, Warp, and More Compared

Development has evolved from hand-typing code to defining intent and letting agents do the work. Today's tools organize tasks, edit…
Building a Data Code Pipeline from NVIDIA Nemotron-Pretraining-Code-v3 Metadata with streaming, pandas, and tiktoken

Building a Data Code Pipeline from NVIDIA Nemotron-Pretraining-Code-v3 Metadata with streaming, pandas, and tiktoken

fig, ax = plt.subplots(2, 2, figsize=(14, 9)) lang_counts.head(12).iloc[::-1].plot.barh(ax=ax[0, 0], color="#76b900") ax[0, 0].set_title("Top 12 languages (sample)"); ax[0, 0].set_xlabel("files") df["ext"].value_counts().head(12).iloc[::-1].plot.barh(ax=ax[0, 1], color="#5b8def")…
ClawHub Security Signals: A Coding Guide for End-to-End Security Signal Analysis and Decision Making on AI Capable Datasets

ClawHub Security Signals: A Coding Guide for End-to-End Security Signal Analysis and Decision Making on AI Capable Datasets

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,…
Xiaomi MiMo and TileRT Push 1-Trillion-Parameter Model Past 1000 Tokens per Second on Commodity GPUs

Xiaomi MiMo and TileRT Push 1-Trillion-Parameter Model Past 1000 Tokens per Second on Commodity GPUs

Inference speed becomes a competitive metric for large language models. Xiaomi's MiMo team has just released MiMo-V2.5-Pro-UltraSpeed, developed in collaboration…
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