Generative AI

The LoRA Assumption That Breaks in Production

The LoRA Assumption That Breaks in Production

LoRA is widely used to fine-tune large models because it is efficient, but it tacitly assumes that all model updates…
How to Build Multilingual Smart Text Wrappers with BudouX for Parsing, HTML Rendering, Model Testing, and Toy Training

How to Build Multilingual Smart Text Wrappers with BudouX for Parsing, HTML Rendering, Model Testing, and Toy Training

import subprocess, sys def pip(*pkgs): subprocess.check_call([sys.executable, "-m", "pip", "install", "-q", *pkgs]) pip("budoux") import json, time, textwrap, html, random, re, os,…
Top 7 Benchmarks That Actually Matter for Agentic Reasoning in Large Language Models

Top 7 Benchmarks That Actually Matter for Agentic Reasoning in Large Language Models

As AI agents move from research demos to production deployments, one question has become impossible to ignore: how do you…
RAG Without Vectors: How PageIndex Gets Through Consultation

RAG Without Vectors: How PageIndex Gets Through Consultation

Retrieval is where most RAG systems quietly break down. Native pipelines rely on vector matching—embedding queries and document fragments in…
A Datashader coding tutorial for rendering large datasets with High-Performance Python Visual Analytics

A Datashader coding tutorial for rendering large datasets with High-Performance Python Visual Analytics

import subprocess, sys subprocess.check_call([sys.executable, "-m", "pip", "install", "-q", "datashader", "colorcet", "numba", "scipy"]) import numpy as np import pandas as pd…
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