AI News
A Coding Implementation to Compress and Benchmark Instruction-Tuned LLMs with FP8, GPTQ, and SmoothQuant Quantization using llmcompressor
import subprocess, sys def pip(*pkgs): subprocess.check_call() pip("llmcompressor", "compressed-tensors", "transformers>=4.45", "accelerate", "datasets") import os, gc, time, json, math from pathlib import Path import torch from transformers…
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A Coding Guide Implementing SHAP Explainability Workflows with Explainer Comparisons, Maskers, Interactions, Drift, and Black-Box Models
print("\n" + "="*72) print("PART 3: Interaction decomposition") print("="*72) inter = tree_expl.shap_interaction_values(X_te.iloc) inter_abs…
Vercel Labs Introduces Zero, a Systems Programming Language Designed So AI Agents Can Read, Repair, and Ship Native Programs
Vercel Labs 01 / 09 · Overview ZeroThe Programming Languagefor Agents An…
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…
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…
From Data Analyst to Data Engineer: My 12-Month Self-Study Roadmap
. A part of me started this journey because data engineering is…
Recursive Language Models: An All-in-One Deep Dive
, you will learn what Recursive Language Models (RLMs) are, why they…
How to Build Repository-Level Code Intelligence with Repowise Using Graph Analysis, Dead-Code Detection, Decisions, and AI Context
banner("§12 CLAUDE.md") sh("repowise generate-claude-md") md = TARGET / "CLAUDE.md" if md.exists(): print(md.read_text())…