Generative AI
Building Vector Similarity Search in PostgreSQL with pgvector
May 18, 2026
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…
NVIDIA Introduces a 4-Bit Pretraining Methodology Using NVFP4, Validated on a 12B Hybrid Mamba-Transformer at 10T Token Horizon
May 18, 2026
NVIDIA Introduces a 4-Bit Pretraining Methodology Using NVFP4, Validated on a 12B Hybrid Mamba-Transformer at 10T Token Horizon
Pretraining frontier-scale LLMs in FP8 is now standard practice, but moving to 4-bit floating point has remained an open research…
Compression Coding and Tuned Quantization Instructions for LLMs with FP8, GPTQ, and SmoothQuant Quantization using llmcompressor
May 17, 2026
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
May 17, 2026
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
May 17, 2026
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();…
Nous Research Proposes Lighthouse Attention: A Training-Only Selection-Based Hierarchical Attention That Delivers 1.4–1.7× Pretraining Speedup at Long Context
May 16, 2026
Nous Research Proposes Lighthouse Attention: A Training-Only Selection-Based Hierarchical Attention That Delivers 1.4–1.7× Pretraining Speedup at Long Context
Training large language models on long sequences has a well-known problem: attention is expensive. The scaled dot-product attention (SDPA) at…
Meet LiteLLM Agent Platform: A Kubernetes-Based, Self-Hosted Infrastructure Layer for Isolated Agent Sandboxes and Persistent Session Management in Production
May 16, 2026
Meet LiteLLM Agent Platform: A Kubernetes-Based, Self-Hosted Infrastructure Layer for Isolated Agent Sandboxes and Persistent Session Management in Production
Running AI agents in a local script is straightforward. Running them reliably in production across teams, across restarts, with isolated…
NVIDIA Introduces SANA-WM: A 2.6B-Parameter Open-Source World Model That Generates Minute-Scale 720p Video on a Single GPU
May 16, 2026
NVIDIA Introduces SANA-WM: A 2.6B-Parameter Open-Source World Model That Generates Minute-Scale 720p Video on a Single GPU
World models (systems that synthesize realistic video sequences from an initial image and a set of actions) are becoming central…
How to Build Repository-Level Code Intelligence with Repowise Using Graph Analysis, Dead Code Discovery, Decisions, and Content AI
May 16, 2026
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
May 15, 2026
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…