Generative AI

Google ADK Multi-Agent Pipeline Tutorial: Data Loading, Statistical Analysis, Visualization, and Reporting in Python

Google ADK Multi-Agent Pipeline Tutorial: Data Loading, Statistical Analysis, Visualization, and Reporting in Python

def describe_dataset(dataset_name: str, tool_context: ToolContext) -> dict: print(f"πŸ“Š Describing dataset: {dataset_name}") df = DATA_STORE.get_dataset(dataset_name) if df is None: return {"status":…
Ucwaningo lwe-Google AI Luhlongoza I-Vantage: Iphrothokholi Esekelwe ku-LLM Yokulinganisa Ukubambisana, Ukudala, Nokucabanga Okubalulekile

Ucwaningo lwe-Google AI Luhlongoza I-Vantage: Iphrothokholi Esekelwe ku-LLM Yokulinganisa Ukubambisana, Ukudala, Nokucabanga Okubalulekile

Ukuhlolwa okujwayelekile kungakutshela ukuthi umfundi uyayazi yini i-calculus noma angakwazi ukuhlaziya indinyana yombhalo. Abangakwazi ukukutshela ngokuthembekile ukuthi ingabe lowo mfundi…
A step-by-step tutorial on coding in NVIDIA PhysicsNeMo: Darcy Flow, FNOs, PINNs, Surrogate Models, and Inference Benchmarking

A step-by-step tutorial on coding in 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…
Implementation of MolmoAct Coding for Deep Inference Spatial Awareness, Visual Tracking, and Robot Action Prediction

Implementation of MolmoAct Coding for Deep Inference Spatial Awareness, Visual Tracking, and Robot Action Prediction

class MolmoActVisualizer: """Visualization utilities for MolmoAct outputs""" def __init__(self, figsize: Tuple[int, int] = (12, 8)): self.figsize = figsize self.colors =…
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