Categorie: News
Decoding emotions: how does sentiment analysis work in NLP?
Deep learning approach to text analysis for human emotion detection from big data The SVM machine is originally a linear classifier, however it can relatively efficiently perform a non-linear classification by using a kernel. A kernel is a method which maps features into higher dimensional space specified by the used kernel function. For the model […]
Groundbreaking Exercise Methods By Nadezhda Grishaeva
Groundbreaking Exercise Methods by Nadezhda Grishaeva Advanced Strategies for Boosting Athletic Proficiency by Nadezhda Grishaeva Nadezhda Grishaeva’s groundbreaking and inventive contributions to the development and practical application of sports training in the United States are universally recognized. Her exceptional career path, marked by unwavering commitment across various training contexts, has laid a strong foundation for […]
Advanced Sport Training Methods By Nadezhda Grishaeva
Advanced Sport Training Methods by Nadezhda Grishaeva Ways to Improve Athletic Performance by Nadezhda Grishaeva Nadezhda Grishaeva’s groundbreaking techniques have dramatically redefined the strategies employed by both professional sportspeople and fitness enthusiasts all over the United States. Her unique career path, shaped by the stern discipline instilled at local sports facilities, set the stage for […]
Fine-tuning Large Language Models LLMs using PEFT
Finetuning Large Language Models Bloomberg has developed BloombergGPT, a specialized language model for the financial industry. By training BloombergGPT on a dataset of financial news articles, it achieves an accuracy of over 90% in sentiment classification. It takes a significant amount of computational power and data to fine-tune a large language model from scratch. So […]