Browsing: training

import subprocess, sys subprocess.check_call([sys.executable, “-m”, “pip”, “install”, “-q”, “-U”, “torchao>=0.16”, “trl>=0.20”, “transformers>=4.45”, “datasets”, “peft>=0.13”, “accelerate”, “bitsandbytes”, ]) import sys as _sys for _m in [m for…

The bottleneck in building better AI models has never been compute alone — it has always been data quality. Meta AI’s RAM (Reasoning, Alignment, and Memory)…

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, tempfile from pathlib import Path import…

Training frontier AI models is, at its core, a coordination problem. Thousands of chips must communicate with each other continuously, synchronizing every gradient update across the…

BATCH = 128 EPOCHS = 30 steps_per_epoch = len(X_train) // BATCH train_losses, val_losses = [], [] t0 = time.time() for epoch in range(EPOCHS): key, sk =…

Training a modern large language model (LLM) is not a single step but a carefully orchestrated pipeline that transforms raw data into a reliable, aligned, and…

If you feel like your previous employer didn’t properly compensate you, there might be a way to cash in on that work—though it seems legally (and,…

This post is cowritten with Altay Sansal and Alejandro Valenciano from TGS. TGS, a geoscience data provider for the energy sector, supports companies’ exploration and production…

The generative AI models powering ChatGPT, Copilot Gemini, and other assistants were created with mountains of training data. Now, Microsoft will start using interactions with GitHub…

Polar has introduced the Street X, a watch designed to meet the needs of hybrid athletes, appreciating not only running but also strength exercises.The device had…