AI News
A Coding Implementation to Build a Conditional Bayesian Hyperparameter Optimization Pipeline with Hyperopt, TPE, and Early Stopping
In this tutorial, we implement an advanced Bayesian hyperparameter optimization workflow using Hyperopt and the Tree-structured Parzen Estimator (TPE) algorithm. We construct a conditional search…
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DIY AI & ML: Solving The Multi-Armed Bandit Problem with Thompson Sampling
Introduction of data-driven decision-making. Not only do most organizations maintain massive databases…
Google Introduces Simula: A Reasoning-First Framework for Generating Controllable, Scalable Synthetic Datasets Across Specialized AI Domains
Training powerful AI models depends on one resource that is quietly running…
Git UNDO : How to Rewrite Git History with Confidence
collaborated on an ML project — rebasing feature branches, merging experiment notebooks,…
How to Call Rust from Python
, Python is fast enough — especially when you lean on NumPy, Polars, or…
Your RAG Gets Confidently Wrong as Memory Grows – I Built the Memory Layer That Stops It
TL;DR: a controlled four-phase experiment in pure Python, with real benchmark numbers.…
A Coding Implementation on Qwen 3.6-35B-A3B Covering Multimodal Inference, Thinking Control, Tool Calling, MoE Routing, RAG, and Session Persistence
class QwenChat: def __init__(self, model, processor, system=None, tools=None): self.model, self.processor = model,…
A Coding Implementation on Microsoft’s Phi-4-Mini for Quantized Inference Reasoning Tool Use RAG and LoRA Fine-Tuning
import subprocess, sys, os, shutil, glob def pip_install(args): subprocess.run(, check=True) pip_install() pip_install()…