RoBERTa Courses and Certifications

rupert ai

Multi-Label Classification on Unhealthy Comments - Finetuning RoBERTa with PyTorch - Coding Tutorial

Learn to finetune RoBERTa for multi-label classification of unhealthy comments using PyTorch Lightning. Practical coding guide covers data preparation, model creation, training, and evaluation.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

rupert ai

Hugging Face Transformers - The Basics - Practical Coding Guides - NLP Models (BERT/RoBERTa)

Learn the basics of Hugging Face Transformers library, including installation, pre-defined pipelines, and implementing models in PyTorch. Explore tokenization, attention masks, and model outputs in this practical coding guide.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Modern Tokenization Techniques for AI & LLMs

Master modern tokenization methods including BPE, WordPiece, and SentencePiece to optimize AI model performance and handle out-of-vocabulary challenges effectively.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

Edureka

Advanced Tokenization and Sentiment Analysis

Master advanced tokenization techniques and sentiment analysis using BERT, RoBERTa, and VADER to build robust NLP systems that handle multilingual text and domain-specific challenges.

• Coursera
• 16 hours 14 minutes
• On-Demand
• Paid Course

Packt

Mastering spaCy

Unlock advanced NLP techniques with spaCy and LLMs, building custom components, training models, and deploying production-ready solutions for real-world applications.

• Coursera
• 10 hours 45 minutes
• On-Demand
• Paid Course

Yannic Kilcher

RoBERTa - A Robustly Optimized BERT Pretraining Approach

Explore how RoBERTa improves BERT's performance through optimized training, challenging recent model enhancements and highlighting the impact of hyperparameter choices in language model pretraining.

• YouTube
• 19 minutes
• On-Demand
• Free Video

Natural Language Understanding I - Spring 2023

Master advanced NLP techniques including transformers, BERT, GPT, in-context learning, and behavioral evaluation methods for natural language understanding systems.

• YouTube
• 15 hours 29 minutes
• On-Demand
• Free Video

Stanford CS224U - Natural Language Understanding - Spring 2021

Explore advanced NLP techniques including transformers, BERT, sentiment analysis, and grounded language understanding through Stanford's project-oriented graduate curriculum.

• YouTube
• 13 hours 18 minutes
• On-Demand
• Free Video

Abhishek Thakur

Sentencepiece Tokenizer With Offsets for T5, ALBERT, XLM-RoBERTa and Many More

Implementación práctica del tokenizador Sentencepiece con offsets para modelos de transformers, enfocado en sistemas de preguntas y respuestas utilizando ALBERT.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Donato Capitella

Making LLMs from Transformers - BERT and Encoder-based Models - Part 1

Dive into the architecture of encoder-based LLMs, exploring BERT's pre-training, fine-tuning mechanisms, and various model variants while understanding key benchmarking approaches for language models.

• YouTube
• 19 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Beyond Accuracy: Behavioral Testing of NLP Models with CheckList

Explore CheckList, a task-agnostic methodology for testing NLP models, uncovering bugs in commercial and research models through behavioral testing principles.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Programming Language of the Future: AI in Your Native Language

Explore the transformative potential of native language AI models in software development, enhancing accessibility and user-friendliness across various domains.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Data Centric

Fine-tuning LLMs Without Maxing Out Your GPU - LoRA for Parameter-Efficient Training

Discover parameter-efficient fine-tuning of large language models using LoRA. Learn to classify consumer finance complaints with RoBERTa on Google Colab's V100 GPU.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Graham Neubig

Pre-training and Pre-trained Models in Advanced NLP - Lecture 5

Explore pre-training in NLP, covering objectives, data, model types, and notable examples. Gain insights into advanced techniques shaping modern language processing.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

MLOps: OpenVino Quantized Pipeline for Grammatical Error Correction

Build a grammar error correction model using OpenVino, combining Roberta-based error detection and Flan-T5 correction, with quantization for efficient CPU inference.

• YouTube
• 55 minutes
• On-Demand
• Free Video