JuicyTalkA Technical Deep Dive into the Essential Stages of Modern Large Language Model Training, Alignment, and Deployment
Training a modern large language model (LLM) is not a single step but a carefully orchestrated pipeline that transforms raw data into a reliable, aligned, and deployable intelligent system. At…
Google DeepMind Releases Gemini Robotics-ER 1.6: Bringing Enhanced Embodied Reasoning and Instrument Reading to Physical AI
Google DeepMind research team introduced Gemini Robotics-ER 1.6, a significant upgrade to its embodied reasoning model designed to serve as the ‘cognitive brain’ of robots operating in real-world environments. The…
Google Launches ‘Skills’ in Chrome: Turning Reusable AI Prompts into One-Click Browser Workflows
Google just announced the release of Skills in Chrome, a new feature built into Gemini in Chrome that lets users save frequently used AI prompts as reusable, one-click workflows called…
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’, ‘libxrandr2’, ‘libgbm1’, ‘libasound2’, ‘libpango-1.0-0’,…
TinyFish AI Releases Full Web Infrastructure Platform for AI Agents: Search, Fetch, Browser, and Agent Under One API Key
AI agents struggle with tasks that require interacting with the live web — fetching a competitor’s pricing page, extracting structured data from a JavaScript-heavy dashboard, or automating a multi-step workflow…
TinyFish Launches Full Web Infrastructure Platform for AI Agents — Search, Fetch, Browser, and Agent Under One API Key
AI agents struggle with tasks that require interacting with the live web — fetching a competitor’s pricing page, extracting structured data from a JavaScript-heavy dashboard, or automating a multi-step workflow…
NVIDIA and the University of Maryland Researchers Released Audio Flamingo Next (AF-Next): A Super Powerful and Open Large Audio-Language Model
Understanding audio has always been the multimodal frontier that lags behind vision. While image-language models have rapidly scaled toward real-world deployment, building open models that robustly reason over speech, environmental…
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”} numeric_cols = df.select_dtypes(include=[np.number]).columns.tolist() categorical_cols…
Google AI Research Proposes Vantage: An LLM-Based Protocol for Measuring Collaboration, Creativity, and Critical Thinking
Standardized tests can tell you whether a student knows calculus or can parse a passage of text. What they cannot reliably tell you is whether that student can resolve a…
A Step-by-Step Coding Tutorial on NVIDIA PhysicsNeMo: Darcy Flow, FNOs, PINNs, Surrogate Models, and Inference Benchmarking
print(“\n” + “=”*80) print(“SECTION 4: DATA VISUALIZATION”) print(“=”*80) def visualize_darcy_samples( permeability: np.ndarray, pressure: np.ndarray, n_samples: int = 3 ): “””Visualize Darcy flow samples.””” fig, axes = plt.subplots(n_samples, 2, figsize=(10, 4…