Generative AI

Code Execution in Qwen 3.6-35B-A3B Including Multimodal Inference, Control Inference, Tool Hitting, MoE Routing, RAG, and Session Persistence

Code Execution in Qwen 3.6-35B-A3B Including Multimodal Inference, Control Inference, Tool Hitting, MoE Routing, RAG, and Session Persistence

class QwenChat: def __init__(self, model, processor, system=None, tools=None): self.model, self.processor = model, processor self.tokenizer = processor.tokenizer self.history: list[dict] = []…
Coding Implementation in Microsoft's Phi-4-Mini Quantized Inference Reasoning Tool Use RAG and LoRA Fine-Tuning

Coding Implementation in Microsoft's Phi-4-Mini Quantized Inference Reasoning Tool Use RAG and LoRA Fine-Tuning

import subprocess, sys, os, shutil, glob def pip_install(args): subprocess.run([sys.executable, "-m", "pip", "install", "-q", *args], check=True) pip_install(["huggingface_hub>=0.26,<1.0"]) pip_install([ "-U", "transformers>=4.49,<4.57", "accelerate>=0.33.0",…
How TabPFN Uses In-Context Learning to Achieve Higher Accuracy on Tabular Data Compared to Random Forest and CatBoost

How TabPFN Uses In-Context Learning to Achieve Higher Accuracy on Tabular Data Compared to Random Forest and CatBoost

Tabular data—structured information stored in rows and columns—is at the heart of many real-world machine learning problems, from health care…
NVIDIA Unveils: First Open Family of Quantum AI Models for Hybrid Quantum-Classical Systems

NVIDIA Unveils: First Open Family of Quantum AI Models for Hybrid Quantum-Classical Systems

Quantum Computing has spent years living in the future. Hardware has advanced, research has converged, and business dollars have followed…
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