Models

Improved large language models (LLMs) emerge ceaselessly, and while cloud-based solutions offer convenience, running LLMs locally provides several benefits, including enhanced privacy, offline accessibility, and greater control over data and model customization.Running LLMs locally...

Why and learn how to convert mT5 right into a regression metric for numerical predictionMy undergraduate honour’s dissertation was a Natural Language Processing (NLP) research project. It focused on multilingual text generation in under-represented...

Generative AI transforms industries by enabling unique content creation, automating tasks, and leading innovation. Over the past decade, Artificial Intelligence (AI) has achieved remarkable progress. Technologies like OpenAI’s GPT-4 and Google’s Bard have set...

Large Language Models (LLMs) have modified how we handle natural language processing. They'll answer questions, write code, and hold conversations. Yet, they fall short in the case of real-world tasks. For instance, an LLM...

Most big tech firms now boast fun-size versions of their flagship models for this purpose: OpenAI offers each GPT-4o and GPT-4o mini; Google DeepMind has Gemini Ultra and Gemini Nano; and Anthropic’s Claude...

Full explanation on Linear Regression and the way it learnsEventually we arrived to a fairly good model. The true values I used to generate those numbers were and after only 50 iterations, the...

Diving into the F-test for nested models with algorithms, examples and codeWhen analyzing data, one often needs to check two regression models to find out which one matches best to a bit of information....

Artificial Intelligence (AI) brings innovation across healthcare, finance, education, and transportation industries. Nevertheless, the growing reliance on AI has highlighted the restrictions of opaque, closed-source models. These systems, often called , generate decisions without...