A pre-trained or foundation model is further trained (or fine-tuned) with instructions datasets to help them learn about your specific…
Training large language models (LLMs) like GPT-4 requires the use of distributed computing patterns as there is a need to…
NLP has been around for decades, but it has recently seen an explosion in popularity due to pre-trained models (PTMs),…
At the heart of NLP lies a fundamental element: the corpus. A corpus, in NLP, is not just a collection…
In the field of AI / machine learning, the encoder-decoder architecture is a widely-used framework for developing neural networks that…
The attention mechanism workflow in the context of transformers in NLP, is a process that enables the model to dynamically…
Have you ever wondered how your smartphone seems to know exactly what you're going to type next? Or how virtual…
Last updated: 6th Jan, 2024 Most machine learning algorithms require numerical input for training the models. Bag of words (BoW)…
Last updated: 5th Jan, 2024 Have you ever wondered how your phone's voice assistant understands your commands and responds appropriately?…
How often have you wondered about the vast amounts of unstructured data around us and its untapped potential? How can…