Generative AI

Building Vector Similarity Search in PostgreSQL with pgvector

Building Vector Similarity Search in PostgreSQL with pgvector

In this article, you will learn how to implement vector similarity search in PostgreSQL using the pgvector extension, allowing you…
Compression Coding and Tuned Quantization Instructions for LLMs with FP8, GPTQ, and SmoothQuant Quantization using llmcompressor

Compression Coding and Tuned Quantization Instructions for LLMs with FP8, GPTQ, and SmoothQuant Quantization using llmcompressor

import subprocess, sys def pip(*pkgs): subprocess.check_call([sys.executable, "-m", "pip", "install", "-q", *pkgs]) pip("llmcompressor", "compressed-tensors", "transformers>=4.45", "accelerate", "datasets") import os, gc, time,…
Vercel Labs Introduces Zero, a Programming Language Designed for AI Agents to Learn, Modify, and Deploy Native Programs

Vercel Labs Introduces Zero, a Programming Language Designed for AI Agents to Learn, Modify, and Deploy Native Programs

Vercel Labs 01 / 09 · Overview ZeroProgramming LanguageAgents A diagnostic programming language that provides AI agents with structured diagnostics,typed…
A Guide to Coding Using SHAP Annotation Workflows Comparing Descriptive, Masking, Interaction, Drift, and Black-Box Models

A Guide to Coding Using SHAP Annotation Workflows Comparing Descriptive, Masking, Interaction, Drift, and Black-Box Models

print("n" + "="*72) print("PART 3: Interaction decomposition") print("="*72) inter = tree_expl.shap_interaction_values(X_te.iloc[:500]) inter_abs = np.abs(inter).mean(0) diag = np.diagonal(inter_abs).copy() off = inter_abs.copy();…
How to Build Repository-Level Code Intelligence with Repowise Using Graph Analysis, Dead Code Discovery, Decisions, and Content AI

How to Build Repository-Level Code Intelligence with Repowise Using Graph Analysis, Dead Code Discovery, Decisions, and Content AI

banner("§12 CLAUDE.md") sh("repowise generate-claude-md") md = TARGET / "CLAUDE.md" if md.exists(): print(md.read_text()[:4000]) banner("§13 MCP tools via CLI") base = […
How to Build an MCP-Style AI Agent System with Dynamic Tool Exposure Planning, Execution, and Content Injection

How to Build an MCP-Style AI Agent System with Dynamic Tool Exposure Planning, Execution, and Content Injection

class RoutedAgent: def __init__(self, server: MCPToolServer, router: HybridMCPRouter, model: str): self.server = server self.router = router self.model = model def…
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