submitted a job but don’t see it in the SLURM queue
If you’ve submitted a job but don’t see it in the SLURM queue, there could be several reasons for this.…
Category: AI-Machine Learning – Statistics – CS
google-generativeai & google-genai: a detailed comparison with integration guides
Google offers two libraries for generative AI: google-generativeai for complex, direct work with Gemini models, and google-genai for simplified access and easier integration in applications.
libtorchtext.so: undefined symbol: _ZN5torch3jit17parseSchemaOrNameERKSs TorchText Error Fixed
How to fix the error
libtorchtext.so: undefined symbol: _ZN5torch3jit17parseSchemaOrNameERKSs
when installing torchtext.
Word Embeddings in PyTorch: A Complete Guide
The guide explains implementing, training, saving, and loading word embeddings in PyTorch. It details using nn.Embedding, a neural network model, and demonstrates applied code examples for each step.
Understanding Word Embeddings: Word2Vec vs GloVe + Python Code
Word embeddings like Word2Vec and GloVe provide vector representations of words, capturing meanings and relationships. Word2Vec utilizes a neural network approach, while GloVe is based on matrix factorization from co-occurrence statistics.
WordPiece Tokenization: A Deep Dive
WordPiece Tokenization enhances classical tokenization strategies by breaking words into subwords to manage rare and out-of-vocabulary terms effectively, resulting in improved model performance and better language processing across diverse languages.
Byte Pair Encoding (BPE) tokenizer & Python codes
Byte Pair Encoding (BPE) efficiently tokenizes text in NLP by merging common character pairs, reducing vocabulary size and enhancing model performance for diverse languages.
How to create In-App Updates for Android in C# Unity
This tutorial explains creating an In-App Update feature for apps, utilizing Google Play’s AppUpdateManager to check for updates, and initiating updates if available upon app launch.
The Benefits of A/B Testing in Digital Marketing with examples and codes
A/B testing compares two versions of a digital resource to determine which performs better through audience engagement metrics. This data-driven approach enhances user experience, optimizes marketing strategies, and informs decision-making for improved conversion rates….
Maximum Likelihood Estimation: A Comprehensive Guide with Examples
Maximum Likelihood Estimation (MLE) Maximum Likelihood Estimation (MLE) is a statistical method used to estimate the parameters of a probabilistic…