Generative AI
Building a Data Code Pipeline from NVIDIA Nemotron-Pretraining-Code-v3 Metadata with streaming, pandas, and tiktoken
1 week ago
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")…
Google Releases Gemini 3.5 Live Translate, a speech-to-speech streaming audio model that covers 70+ languages across the Meet, Translate, and Live APIs.
1 week ago
Google Releases Gemini 3.5 Live Translate, a speech-to-speech streaming audio model that covers 70+ languages across the Meet, Translate, and Live APIs.
Google recently announced Gemini 3.5 Live Translate. It is their latest audio model for live speech-to-speech translation. Speech-to-speech means that…
NVIDIA CuTile Python Tutorial: Building Tiled GPU Kernels for Vector Addition, Matrix Addition, and Matrix Multiplication in Colab
1 week ago
NVIDIA CuTile Python Tutorial: Building Tiled GPU Kernels for Vector Addition, Matrix Addition, and Matrix Multiplication in Colab
print("n" + "=" * 90) print("[5] cuTile kernels are defined only if cuda.tile imports successfully") print("=" * 90) if cutile_import_ok:…
New Research from Harvard and Perplexity Finds AI Agents Perform 26 Minutes of Autonomic Activity Per Session vs 33 Seconds of Search
1 week ago
New Research from Harvard and Perplexity Finds AI Agents Perform 26 Minutes of Autonomic Activity Per Session vs 33 Seconds of Search
New research in action from Perplexity and Harvard provides field evidence on what AI agents are doing in information work.…
ClawHub Security Signals: A Coding Guide for End-to-End Security Signal Analysis and Decision Making on AI Capable Datasets
1 week ago
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
1 week ago
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…
The Practitioner’s Guide to AgentOps
1 week ago
The Practitioner’s Guide to AgentOps
# research_agent.py # Purpose: A research agent with full AgentOps instrumentation. # Every session is logged, replayed, and cost-tracked in…
Microsoft AI Introduces MAI-Transcribe-1.5: 2.4% WER on unprocessed analysis, Best-in-Class FLEURS Accuracy, and Up to 5th Fastest Long-Range Audio Transcription
1 week ago
Microsoft AI Introduces MAI-Transcribe-1.5: 2.4% WER on unprocessed analysis, Best-in-Class FLEURS Accuracy, and Up to 5th Fastest Long-Range Audio Transcription
Last week Microsoft AI announced MAI-Transcribe-1.5. It is the second iteration of the company's internal speech and text family. The…
Building Rapid Development Thinking with GEPA: Multi-Part Information, Planned Feedback, and Standardized Validation
1 week ago
Building Rapid Development Thinking with GEPA: Multi-Part Information, Planned Feedback, and Standardized Validation
def make_problems(n, seed=0): rng = random.Random(seed) out = [] for _ in range(n): t = rng.choice(["discount", "travel", "wallet", "chain"]) if…
21 Best AI and No-Code AI Tools in 2026
1 week ago
21 Best AI and No-Code AI Tools in 2026
Low-code and no-code platforms have moved from simple drag-and-drop builders to native AI development environments. By 2026, most of them…