Semantic Textual Similarity with BERT
How to use BERT to calculate the semantic similarity between two texts- 23319Murphy ≡ DeepGuide
Cleaning Up Confluence Chaos: A Python and BERTopic Quest
A tale of taming unruly documents to create the ultimate GPT-based chatbot- 21684Murphy ≡ DeepGuide
GPT vs BERT: Which is Better?
Comparing two large-language models: Approach and example- 24417Murphy ≡ DeepGuide
Practical Introduction to Transformer Models: BERT
Hands-on tutorial on how to build your first sentiment analysis model using BERT- 28817Murphy ≡ DeepGuide
Large Language Models: BERT – Bidirectional Encoder Representations from Transformer
Understand how BERT constructs state-of-the-art embeddings- 22711Murphy ≡ DeepGuide
Large Language Models: SBERT – Sentence-BERT
Learn how siamese BERT networks accurately transform sentences into embeddings- 25653Murphy ≡ DeepGuide
Large Language Models: RoBERTa – A Robustly Optimized BERT Approach
Learn about key techniques used for BERT optimisation- 21137Murphy ≡ DeepGuide
Large Language Models: DistilBERT – Smaller, Faster, Cheaper and Lighter
Unlocking the secrets of BERT compression: a student-teacher framework for maximum efficiency- 23495Murphy ≡ DeepGuide
How to Train BERT for Masked Language Modeling Tasks
Hands-on guide to building language model for MLM tasks from scratch using Python and Transformers library- 24310Murphy ≡ DeepGuide
Large Language Models: TinyBERT – Distilling BERT for NLP
Unlocking the power of Transformer distillation in LLMs- 20596Murphy ≡ DeepGuide
Large Language Models, ALBERT – A Lite BERT for Self-supervised Learning
Understand essential techniques behind BERT architecture choices for producing a compact and efficient model- 20776Murphy ≡ DeepGuide
Large Language Models, StructBERT – Incorporating Language Structures into Pretraining
Making models smarter by incorporating better learning objectives- 24644Murphy ≡ DeepGuide
BERT – Intuitively and Exhaustively Explained
Baking General Understanding into Language Models- 29233Murphy ≡ DeepGuide
Large Language Models: DeBERTa – Decoding-Enhanced BERT with Disentangled Attention
Exploring the advanced version of the attention mechanism in Transformers- 25901Murphy ≡ DeepGuide
Large Language Models, MirrorBERT - Transforming Models into Universal Lexical and Sentence…
Discover how mirror augmentation generates data and aces the BERT performance on semantic similarity tasks- 26614Murphy ≡ DeepGuide
SentenceTransformer: A Model For Computing Sentence Embedding
Convert BERT to an efficient sentence transformer- 30132Murphy ≡ DeepGuide
An Introduction To Fine-Tuning Pre-Trained Transformers Models
Simplified utilizing the HuggingFace trainer object- 21622Murphy ≡ DeepGuide
A Complete Guide to BERT with Code
History, Architecture, Pre-training, and Fine-tuning- 25214Murphy ≡ DeepGuide
Constrained Sentence Generation Using Gibbs Sampling and BERT
A fast and effective approach to generating fluent sentences from given keywords using public pre-trained models.- 25377Murphy ≡ DeepGuide
Fine-Tuning BERT for Text Classification
A hackable example with Python code- 22442Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag