- The ‘stunning, behemoth’ Galaxy Tab S10 Ultra just scored a $350 discount during Best Buy’s Black Friday in July sale
- Garmin wins on training, Google wins on value
- How to make your Android safer without changing how you use it
- Suunto Core 2 arrives nearly 20 years after the original
- AT&T could raise home internet prices for the people who can least afford it
- Google’s latest Android 17 beta fixes Bluetooth headaches and Gemini crashes
- Leaked Snapdragon 4 Gen 6 specs suggest an upgrade in the graphics department
- Garmin shares ways to make its training data less overwhelming
Browsing: generation
Can Google and Samsung redefine smart eyewear with Android XR, or will history repeat with a new generation of ‘Glassholes’?
At Google I/O, we got more hands-on time with Android XR, though in the form of more compact, wearable glasses. Companies such as Xreal and Samsung…
One Model, Three Modalities: ByteDance Releases Lance for Image and Video Understanding, Generation, and Editing
Building a single model that can both understand and generate images and videos is harder than it sounds. The two tasks pull in opposite directions. Understanding…
How to Build Knowledge Graph Generation Pipelines From Text With kg-gen, NetworkX Analytics, and Interactive Visualizations
print(“\n” + “=”*70 + “\n SECTION 6 — NetworkX analytics\n” + “=”*70) def kg_to_networkx(graph): G = nx.MultiDiGraph() for e in graph.entities: G.add_node(e) for s, p, o…
Before you can extract information from documents using intelligent document processing (IDP) techniques, you need a schema for each document class that defines what to extract.…
Beyond BI: How the Dataset Q&A feature of Amazon Quick powers the next generation of data decisions
Business leaders across industries rely on operational dashboards as the shared source of truth that their teams execute against daily. But dashboards are built to answer…
A New NVIDIA Research Shows Speculative Decoding in NeMo RL Achieves 1.8× Rollout Generation Speedup at 8B and Projects 2.5× End-to-End Speedup at 235B
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…
The AI image generation space has been highly competitive over the past 18 months. Models keep improving and replacing each other at the top. Google’s Nano…
A Coding Implementation of Crawl4AI for Web Crawling, Markdown Generation, JavaScript Execution, and LLM-Based Structured Extraction
import subprocess import sys print(“📦 Installing system dependencies…”) subprocess.run([‘apt-get’, ‘update’, ‘-qq’], capture_output=True) subprocess.run([‘apt-get’, ‘install’, ‘-y’, ‘-qq’, ‘libnss3’, ‘libnspr4’, ‘libatk1.0-0’, ‘libatk-bridge2.0-0’, ‘libcups2’, ‘libdrm2’, ‘libxkbcommon0’, ‘libxcomposite1’, ‘libxdamage1’, ‘libxfixes3’,…
Google ADK Multi-Agent Pipeline Tutorial: Data Loading, Statistical Testing, Visualization, and Report Generation in Python
def describe_dataset(dataset_name: str, tool_context: ToolContext) -> dict: print(f”📊 Describing dataset: {dataset_name}”) df = DATA_STORE.get_dataset(dataset_name) if df is None: return {“status”: “error”, “message”: f”Dataset ‘{dataset_name}’ not found”}…
An End-to-End Coding Guide to NVIDIA KVPress for Long-Context LLM Inference, KV Cache Compression, and Memory-Efficient Generation
In this tutorial, we take a detailed, practical approach to exploring NVIDIA’s KVPress and understanding how it can make long-context language model inference more efficient. We…
