Natural Language Processing (NLP) aims to enable computers to understand and generate human language, facilitating human-computer interaction. Despite advancements in NLP, large language models (LLMs) often fall short when it comes to complex planning tasks, such as decision-making and organizing actions - abilities crucial in a diverse array of applications from daily tasks to strategic…
Large Language Models (LLMs) have revolutionized the field of Natural Language Processing (NLP). However, they often generate ungrounded or factually incorrect information, an issue informally known as 'hallucination'. This is particularly noticeable when it comes to Question Answering (QA) tasks, where even the most advanced models, such as GPT-4, struggle to provide accurate responses. The…
Large Language Models (LLMs) have transformed the field of Natural Language Processing (NLP), specifically in Question Answering (QA) tasks. However, their utility is often hampered by the generation of incorrect or unverified responses, a phenomenon known as hallucination. Despite the development of advanced models like GPT-4, issues remain in accurately answering questions related to changing…
Omost is an innovative project aimed at improving the image generation capabilities of Large Language Models (LLMs). The technology essentially converts the programming ability of an LLM into advanced image composition skills. The concept behind Omost's name is two-fold; firstly, after its use, the produced image should be 'almost' perfect. Secondly, 'O' stands for 'omni,'…
The eai_A.embeddedsystems.net eBook Writer powered by artificial intelligence (AI) is designed to facilitate and expedite the process of creating eBooks. The advanced tool uses natural language processing and machine learning algorithms to create text, structure content, and provide creative suggestions. The AI can generate content based on user-provided prompts or themes, aiding in brainstorming ideas,…
The changing nature of the regulatory environment for clinical AI presents unique challenges for leaders in the healthcare sector. As healthcare systems look to adopt and implement AI responsibly, a range of regulatory compliance issues have come to the fore, bringing with them the need for effective internal governance structures. The application of AI in…