Tiya VajIs BERT large language model?BERT is indeed a type of large language model (LLM) . LLMs are essentially computer programs trained on massive amounts of text data to…2 min read·1 day ago----
Tiya VajRAG, Langchain and LLAMA2RAG (Retrieval-Augmented Generation) is a technique that allows Large Language Models (LLMs) to answer questions using external information…1 min read·1 day ago----
Tiya VajInteresting papersA multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM1 min read·4 days ago----
Tiya VajFeature discretizationFeature discretization is a process in machine learning and statistics where continuous variables are transformed into discrete variables…2 min read·May 2, 2024----
Tiya VajDifferences between training set and validation setThe training set and the validation set are two distinct subsets of the dataset used in machine learning for different purposes:3 min read·Apr 30, 2024----
Tiya VajRegularizationRegularization techniques are indeed used to penalize the complexity of a model by adding a penalty term to the loss function. This penalty…2 min read·Apr 30, 2024----
Tiya VajUnderfittingUnderfitting occurs when a machine learning model is too simple to capture the underlying structure of the data. In other words, the model…2 min read·Apr 30, 2024----
Tiya VajBias-variance tradeoffThe bias-variance tradeoff is a fundamental concept in machine learning and statistics that refers to the balance between the bias and…3 min read·Apr 30, 2024----
Tiya VajEEG analysis relies on using different frequencies to extract meaningful information about brain…Brainwaves and Frequency Bands: The electrical activity measured by EEG recordings exhibits variations in frequency. These variations are…2 min read·Apr 27, 2024----
Tiya VajWhat is the activation function?In a neural network, the activation function acts like a gatekeeper, deciding how much information a neuron should pass on to the next…2 min read·Apr 27, 2024----