As the field of artificial intelligence (AI) continues to progress at a rapid pace, the risks associated with its use are becoming increasingly evident. In an effort to assist organizations in navigating this complex landscape, researchers from MIT and other institutions have developed the AI Risk Repository, a detailed database of over 700 documented risks
AI
The integration of generative AI into healthcare settings is proving to be more than just a technological upgrade. Kiran Mysore, chief data and analytics officer at Sutter Health, and Aashima Gupta, Google Cloud Director for global healthcare, recently discussed how generative AI is streamlining operations and enhancing patient care. Rather than simply plugging in technology,
Apple’s recent introduction of ToolSandbox as a benchmark for evaluating AI assistants has garnered significant attention in the research community. This benchmark is designed to address key gaps in existing evaluation methods for large language models (LLMs), focusing on real-world capabilities and interactions. By incorporating stateful interactions, conversational abilities, and dynamic evaluation, ToolSandbox aims to
The rapid evolution of large language models (LLMs) has been a topic of fascination in the field of artificial intelligence. The shift from GPT-3 to GPT-4 and subsequently to GPT-4o showcased significant advancements in power and capacity. However, recent developments suggest a noticeable slowdown in the pace of innovation across various LLM models. OpenAI’s recent
The introduction of large language models (LLMs) has revolutionized the field of artificial intelligence, providing organizations with the tools to innovate and stay ahead in the competitive landscape. However, the regional availability of these LLMs has posed a challenge for many enterprises, forcing them to wait until models are accessible in their tech stack’s location.
In today’s rapidly evolving tech landscape, there is perhaps no more exciting time to build a company centered around artificial intelligence. However, amidst the seemingly endless possibilities and opportunities that AI presents, there are also numerous challenges and obstacles that aspiring entrepreneurs in this space must navigate. One of the biggest hurdles facing AI startups
In the outskirts of northeast Paris, a colossal warehouse painted in terra-cotta color stands as a symbol of the rising digital age. The interior of this warehouse is a maze of windowless corridors filled with rows of gray doors, emitting a deafening sound that reverberates through the entire building. Disposable earbuds are offered to shield
In a groundbreaking move, Groq secured a monumental $640 million in a Series D funding round, showcasing a significant evolution in the artificial intelligence infrastructure domain. The substantial investment has propelled Groq’s valuation to an impressive $2.8 billion and was spearheaded by BlackRock Private Equity Partners. Noteworthy participation also came from Neuberger Berman, Type One
Zoom, the popular video calling app, announced a new feature that allows users to create shareable files directly within the app, using generative AI to help with writing and editing. This move is seen as an attempt by Zoom to position itself as an all-encompassing workplace solution, competing with industry giants like Microsoft and Google.
In today’s rapidly evolving technological landscape, business leaders are faced with the daunting task of navigating the complexities of Artificial Intelligence (AI). The introduction of Generative AI across various industries has highlighted a significant skills gap not just among employees, but also among leaders themselves. This poses a unique challenge for organizations as they strive