Large Language Models (LLMs) are effectively used as task assistants, retrieving essential information to satisfy users' requests. However, a common problem experienced with LLMs is their tendency to provide erroneous or 'hallucinated' responses. Hallucination in LLMs refers to the generation of information that is not based on actual data or knowledge received during the model's…
The field of large language models (LLMs), such as GPT, Claude, and Gemini, has seen rapid advancement, enabling the creation of autonomous agents capable of natural language interactions and executing diverse tasks. These AI agents are increasingly benefiting from the integration of external tools and knowledge sources, which expand their capacity to access and use…
Scientists at Massachusetts Institute of Technology (MIT) have developed a computational model aimed at simplifying the process of protein engineering. The researchers applied mutations to natural proteins with desirable traits, such as the ability to emit fluorescent light, using random mutation to cultivate better versions of the protein. The technique was deployed using the green…
AI character generators have become increasingly essential tools, offering innovative ways for users to design representation based on their own personality or imagination. The following article outlines the top seven AI character generators predicted to make an impact in 2024.
1. BasedLabs AI Character Generator: Renowned for creating realistic characters, it offers extensive customization options for…
Artificial Intelligence (AI) is significantly impacting the healthcare industry, especially in Clinical Documentation Integrity (CDI). CDI programs are vital in maintaining accurate and comprehensive clinical documentation necessary for patient care and reimbursement. These programs, enhanced by AI, improve the efficacy and efficiency of healthcare services. CDI works by translating clinical chart documentation and reimbursement codes…
Artificial Intelligence (AI) has incredible potential to transform healthcare; however, this requires a strategic approach in terms of adoption and implementation. The concept of an AI platform provides a scalable solution, with the potential for long-term implications for the field. Such a platform allows for collaboration across various health system stakeholders, with AI impacting the…
A recent study states that ethical guidelines for artificial intelligence (AI) in healthcare are lacking, despite the increasing use of AI in areas such as medical imaging analysis and drug discovery. The study, led by Joschka Haltaufderheide and Robert Ranisch from the University of Potsdam, investigated 53 articles to understand the ethical issues surrounding large…
AMD, the semiconductor heavyweight, has announced a $665 million cash acquisition deal of Silo AI, Europe's largest private AI lab. The acquisition will further drive AMD's strategy to compete with rivals like NVIDIA offering all-encompassing AI solutions for hardware, software, and services. Silo AI has crafted innovative open-source large language models (LLMs), including Poro and…
Mac users often prefer applications that are specific, minimal, and user-friendly. The web-based interface Jupyter, while focusing on functionality, may not fully satisfy the needs of the Mac ecosystem as it requires more mouse interaction and offers fewer keyboard shortcuts. This leads to a less efficient workflow for Mac users, who traditionally depend heavily on…
Advances in technology over the past century, specifically the proliferation of computers, has facilitated the development of molecular representations that can be understood by these machines, assisting the process of drug discovery. Initial representations of molecules were simplified, showing only bonds and atoms. However, as the complexity of computational processing increased, more sophisticated representations were…
Software engineering is a rapidly evolving field aimed at systematic design, development, testing, and maintenance of software systems. In recent times, large language models (LLMs) such as GPT-3 have been employed to automate and optimize various software engineering tasks. However, the use of autonomous LLM-based agents has its challenges given their cost and complexity, and…