Disrupting malicious uses of AI by state-affiliated threat actors
We terminated accounts associated with state-affiliated threat actors. Our findings show our models offer only limited, incremental capabilities for malicious cybersecurity tasks.
We terminated accounts associated with state-affiliated threat actors. Our findings show our models offer only limited, incremental capabilities for malicious cybersecurity tasks.
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Reinforcement learning (RL) has witnessed significant strides in integrating Transformer architectures, which are known for their proficiency in handling long-term dependencies in data. This advancement is crucial in RL, where algorithms learn to make sequential decisions, often in complex and dynamic environments. The fundamental challenge in RL is twofold: understanding and utilizing past observations (memory)…
Language models (LMs) often struggle with reasoning tasks like math or coding, particularly in low-resource languages. This challenge arises because LMs are primarily trained on data from a few high-resource languages, leaving low-resource languages underrepresented. Previously, researchers have addressed this by continually training English-centric LMs on target languages. However, this method is difficult to scale…
Large Language Models (LLMs) are increasingly employed for various domains, with use cases including creative writing, chatbots, and semantic search. Many of these applications are inherently subjective and require generations catering to different demographics, cultural and societal norms, or individual preferences. Through their large-scale training, current language models are exposed to diverse data that allows…
Welcome Interested in sponsorship opportunities? Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co In the News Google’s Nobel prize winners stir debate over AI research Google has been at the forefront of AI research, but has been forced on the defensive as it tackles competitive pressure from Microsoft-backed (MSFT.O),…
Recent advancements in machine learning and artificial intelligence (ML) techniques are used in all fields. These advanced AI systems have been made possible due to advances in computing power, access to vast amounts of data, and improvements in machine learning techniques. LLMs, which require huge amounts of data, generate human-like language for many applications. A…