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Free resources on ML, NLP, DL

Free resources on ML, NLP, DL

A collection of free online resources for Machine Learning, Natural Language Processing, and Deep Learning.
Go to the profile of Michał Marcińczuk, Ph.D.
Michał Marcińczuk, Ph.D.
Git folder relocation

Git folder relocation

A guide on how to move a folder with its commit history to a new repository
Go to the profile of Michał Marcińczuk, Ph.D.
Michał Marcińczuk, Ph.D.
How to Avoid the Out-of-Space Problem: A Guideline for an ML Engineer

How to Avoid the Out-of-Space Problem: A Guideline for an ML Engineer

Checkpoints, docker images, Python environments, HF models, and pip cache may grow over time and occupy more disk space without your full…
Go to the profile of Michał Marcińczuk, Ph.D.
Michał Marcińczuk, Ph.D.
Cross-lingual Named Entity Corpus for Slavic Languages

Cross-lingual Named Entity Corpus for Slavic Languages

We present a corpus manually annotated with named entities resulting from a series of shared tasks on Named Entity Recognition…
Go to the profile of Michał Marcińczuk, Ph.D.
Michał Marcińczuk, Ph.D.
Keep an eye on the expenses of your cloud storage while using MLflow

Keep an eye on the expenses of your cloud storage while using MLflow

MLflow has a tendency to accumulate experiment data, leading to unexpectedly high cloud storage costs. Keep an eye on how much data is on…
Go to the profile of Michał Marcińczuk, Ph.D.
Michał Marcińczuk, Ph.D.
Terminus — a concept of an LLM created in 1968?

Terminus — a concept of an LLM created in 1968?

Terminus is a character in one of the science fiction stories collections named Tales of Pirx the Pilot, which was written by Stanisław…
Go to the profile of Michał Marcińczuk, Ph.D.
Michał Marcińczuk, Ph.D.
Use safetensors to avoid malicious AI models

Use safetensors to avoid malicious AI models

Eliminate the risk of running malicious AI models by using the write format.
Go to the profile of Michał Marcińczuk, Ph.D.
Michał Marcińczuk, Ph.D.
The training time of the foundation models (from scratch)

The training time of the foundation models (from scratch)

How many GPU hours does it take to train a large language model (LLM)?
Go to the profile of Michał Marcińczuk, Ph.D.
Michał Marcińczuk, Ph.D.
Special Issue “Advanced Natural Language Processing Technology and Applications”

Special Issue “Advanced Natural Language Processing Technology and Applications”

A special issue of Electronics (ISSN 2079–9292). This special issue belongs to the section “Computer Science & Engineering”.
Go to the profile of Michał Marcińczuk, Ph.D.
Michał Marcińczuk, Ph.D.
Cost of running ML experiments on GPU — AWS Cloud vs local GPU

Cost of running ML experiments on GPU — AWS Cloud vs local GPU

Did you know that you are giving away an RTX 4090 for free by running ML experiments for a year?
Go to the profile of Michał Marcińczuk, Ph.D.
Michał Marcińczuk, Ph.D.
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