Artificial Intelligence

Large Language Models (LLMs) like ChatGPT have become widely accepted in various sectors, making it increasingly challenging to differentiate AI-generated content from human-written material. This has raised concerns in scientific research and media, where undetectable AI-generated texts can potentially introduce false information. Studies show that human ability to identify AI-generated content is barely better than…

Training Large Language Models (LLMs) has become more demanding as they require an enormous amount of data to function efficiently. This has led to increased computational expenses, making it challenging to reduce training costs without impacting their performance. Conventionally, LLMs are trained using next token prediction, predicting the next token in a sequence. However, Pattern…

Language models have undergone significant developments in recent years which has revolutionized artificial intelligence (AI). Large language models (LLMs) are responsible for the creation of language agents capable of autonomously solving complex tasks. However, the development of these agents involves challenges that limit their adaptability, robustness, and versatility. Manual task decomposition into LLM pipelines is…

Large Language Models (LLMs) like GPT-3.5 and GPT-4 are cutting-edge artificial intelligence systems that generate text which is nearly indistinguishable from that created by humans. These models are trained using enormous volumes of data that enables them to accomplish a variety of tasks from answering complex questions to writing coherent essays. However, one significant challenge…