Scalable
Scalable Vector Graphics files pose a novel phishing threat
Criminals who conduct phishing attacks over email have ramped up their abuse of a new threat vector designed to bypass existing anti-spam and anti-phishing protection: The use of a graphics file format called SVG. The attacks, which begin with email messages that have .svg file attachments, started to spread late last year, and have ramped…
Process Reinforcement through Implicit Rewards (PRIME): A Scalable Machine Learning Framework for Enhancing Reasoning Capabilities
Reinforcement learning (RL) for large language models (LLMs) has traditionally relied on outcome-based rewards, which provide feedback only on the final output. This sparsity of reward makes it challenging to train models that need multi-step reasoning, like those employed in mathematical problem-solving and programming. Additionally, credit assignment becomes ambiguous, as the model does not get…
How Is Kubernetes Revolutionizing Scalable AI Workflows in LLMOps?
Introduction The advent of large language models (LLMs) has transformed artificial intelligence, enabling organizations to innovate and solve complex problems at an unprecedented scale. From powering advanced chatbots to enhancing natural language understanding, LLMs have redefined what AI can achieve. However, managing the lifecycle of LLMs—from data pre-processing and training to deployment and monitoring—presents unique…
This AI Paper Explores Reinforced Learning and Process Reward Models: Advancing LLM Reasoning with Scalable Data and Test-Time Scaling
Scaling the size of large language models (LLMs) and their training data have now opened up emergent capabilities that allow these models to perform highly structured reasoning, logical deductions, and abstract thought. These are not incremental improvements over previous tools but mark the journey toward reaching Artificial general intelligence (AGI). Training LLMs to reason well…
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