Training a Model with Limited Memory using Mixed Precision and Gradient Checkpointing
Training a language model is memory-intensive, not only because the model itself is large but also because training data batches ...
Tag: Training
Training a Model on Multiple GPUs with Data Parallelism
import dataclassesimport os import datasetsimport tqdmimport tokenizersimport torchimport torch.distributed as distimport torch.nn as nnimport torch.nn.functional as Fimport torch.optim.lr_scheduler as lr_schedulerfrom torch ...
Training a Tokenizer for BERT Models
BERT is an early transformer-based model for NLP tasks that’s small and fast enough to train on a home computer. ...
Preparing Data for BERT Training
"""Process the WikiText dataset for training the BERT model. Using Hugging Facedatasets library.""" import timeimport randomfrom typing import Iterator import tokenizersfrom datasets ...
Study Shows ChatGPT and Gemini Still Trickable Despite Safety Training
Worries over A.I. safety flared anew this week as new research found that the most popular chatbots from tech giants ...
Datasets for Training a Language Model
A language model is a mathematical model that describes a human language as a probability distribution over its vocabulary. To ...
Sources: AI training startup Mercor eyes $10B+ valuation on $450 million run rate
Mercor, a startup that connects companies like OpenAI and Meta with domain experts needed to train and refine their foundational ...
Walmart to use OpenAI certification for employee training
OpenAI is launching a new certification program, and Walmart wants it to be a part of the retailer’s training resources ...
Forcing LLMs to be evil during training can make them nicer in the long run
For this study, Lindsey and his colleagues worked to lay down some of that groundwork. Previous research has shown that ...
Win a Trip to San Francisco and a Seat at Verizon’s Small Business Training Camp
In addition to its $10,000 small business grants program, Verizon Small Business Digital Ready is for the first time this ...
