Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations | Research - AI at Meta
Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations 概要We introduce Llama Guard, an LLM-based input-output safeguard model geared towards Human-AI conversation use cases. Our model incorporates a safety risk taxonomy, a valuable tool for categorizing a specific set of safety risks found in LLM prompts (i.e., prompt classification). This taxonomy is also instrumental in classify
Data2vec 2.0: Highly efficient self-supervised learning for vision, speech and text
Data2vec 2.0: Highly efficient self-supervised learning for vision, speech and text Many recent breakthroughs in AI have been powered by self-supervised learning, which enables machines to learn without relying on labeled data. But current algorithms have several significant limitations, often including being specialized for a single modality (such as images or text) and requiring lots of computat
Announcing the PyTorch Foundation: A new era for the cutting-edge AI framework
Announcing the PyTorch Foundation: A new era for the cutting-edge AI framework To accelerate progress in AI, PyTorch is moving to a new, independent PyTorch Foundation, under the Linux Foundation umbrella. The project will join the Linux Foundation with a diverse governing board composed of representatives from AMD, Amazon Web Services, Google Cloud, Meta, Microsoft Azure, and Nvidia, with the int
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Advancing embodied AI through progress in touch perception, dexterity, and human-robot interaction
Meta Large Language Model Compiler: Foundation Models of Compiler Optimization | Research - AI at Meta
Purple Llama CyberSecEval: A benchmark for evaluating the cybersecurity risks of large language models | Research - AI at Meta
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Facebook’s five pillars of Responsible AI