OpenAI’s Approach to External Red Teaming for AI Models and System | #aisafety #openai #genai #2024
AI Today27 Nov 2024

OpenAI’s Approach to External Red Teaming for AI Models and System | #aisafety #openai #genai #2024

Paper: https://cdn.openai.com/papers/openais... Blog: https://openai.com/index/advancing-re... This white paper details OpenAI's approach to external red teaming for AI models and systems. External red teaming, using outside experts, helps uncover novel risks, stress-test safety measures, and provide independent assessments. The paper explores the design of red teaming campaigns, including team composition, access levels, and documentation. Different red teaming methods—manual, automated, and mixed—are discussed, along with their respective advantages and limitations. Finally, the paper explains how insights from human red teaming can be used to create more robust and efficient automated evaluations for ongoing safety assessments. ai , model , ai safety , openai, genai, generativeai, artificialintelligence , arxiv , research , paper , publication

Episoder(30)

SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model | #ai #2025 #genai #google

SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model | #ai #2025 #genai #google

Paper: https://arxiv.org/pdf/2501.17161 This research paper compares supervised fine-tuning (SFT) and reinforcement learning (RL) for post-training foundation models. Using novel and existing tasks i...

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Deepseek Janus-Pro: Unified Multimodal Understanding and Generation | #ai #2025 #genai #deepseek

Deepseek Janus-Pro: Unified Multimodal Understanding and Generation | #ai #2025 #genai #deepseek

Paper: https://github.com/deepseek-ai/Janus/blob/main/janus_pro_tech_report.pdf Github: https://github.com/deepseek-ai/Janus/tree/main?tab=readme-ov-file The paper introduces Janus-Pro, an improved m...

30 Jan 202516min

Memory Layers at Scale | #ai #2024 #genai #meta

Memory Layers at Scale | #ai #2024 #genai #meta

Paper: https://arxiv.org/pdf/2412.09764 This research paper explores the effectiveness of memory layers in significantly enhancing large language models (LLMs). By incorporating a trainable key-value...

11 Jan 202514min

Large Concept Models: Language Modeling in a Sentence Representation Space | #ai #2024 #genai

Large Concept Models: Language Modeling in a Sentence Representation Space | #ai #2024 #genai

Paper: https://scontent-dfw5-1.xx.fbcdn.net/... This research paper introduces Large Concept Models (LCMs), a novel approach to language modeling that operates on sentence embeddings instead of indi...

6 Jan 202529min

DeepSeek v3 | #ai #2024 #genai

DeepSeek v3 | #ai #2024 #genai

Technical Report: https://arxiv.org/pdf/2412.19437 Github: https://github.com/deepseek-ai/DeepSe... This research paper introduces DeepSeek-V3, a 671-billion parameter Mixture-of-Experts (MoE) large ...

31 Des 202428min

VISION TRANSFORMERS NEED REGISTERS | #ai #2024 #genai #meta

VISION TRANSFORMERS NEED REGISTERS | #ai #2024 #genai #meta

Paper: https://arxiv.org/pdf/2309.16588 This research paper examines artifacts in vision transformer feature maps, specifically high-norm tokens appearing in non-informative image areas. The authors ...

30 Des 202433min

Byte Latent Transformer: Scaling Language Models with Patches | #ai #2024 #genai

Byte Latent Transformer: Scaling Language Models with Patches | #ai #2024 #genai

Paper: https://arxiv.org/pdf/2412.09871v1.pdf The paper introduces the Byte Latent Transformer (BLT), a novel large language model architecture that processes raw byte data without tokenization. BLT ...

27 Des 202421min

CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models | #ai #2024 #genai

CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models | #ai #2024 #genai

This research paper introduces CosyVoice 2, an improved streaming speech synthesis model. Building upon its predecessor, CosyVoice 2 utilizes advancements in large language models (LLMs) and incorpora...

27 Des 202420min

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