Tag: model types
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AWS News Blog: Qwen models are now available in Amazon Bedrock
Source URL: https://aws.amazon.com/blogs/aws/qwen-models-are-now-available-in-amazon-bedrock/ Source: AWS News Blog Title: Qwen models are now available in Amazon Bedrock Feedly Summary: Amazon Bedrock has expanded its model offerings with the addition of Qwen 3 foundation models enabling users to access and deploy them in a fully managed, serverless environment. These models feature both mixture-of-experts (MoE) and dense architectures…
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Hacker News: Show HN: Formal Verification for Machine Learning Models Using Lean 4
Source URL: https://github.com/fraware/leanverifier Source: Hacker News Title: Show HN: Formal Verification for Machine Learning Models Using Lean 4 Feedly Summary: Comments AI Summary and Description: Yes Summary: The project focuses on the formal verification of machine learning models using the Lean 4 framework, targeting aspects like robustness, fairness, and interpretability. This framework is particularly relevant…
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Hacker News: Nvidia releases its own brand of world models
Source URL: https://techcrunch.com/2025/01/06/nvidia-releases-its-own-brand-of-world-models/ Source: Hacker News Title: Nvidia releases its own brand of world models Feedly Summary: Comments AI Summary and Description: Yes **Summary:** Nvidia has introduced Cosmos World Foundation Models (Cosmos WFMs), a new family of AI models aimed at generating physics-aware video content. These models, available through various platforms, are designed for diverse…
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Hacker News: Garak, LLM Vulnerability Scanner
Source URL: https://github.com/NVIDIA/garak Source: Hacker News Title: Garak, LLM Vulnerability Scanner Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes “garak,” a command-line vulnerability scanner specifically designed for large language models (LLMs). This tool aims to uncover various weaknesses in LLMs, such as hallucination, prompt injection attacks, and data leakage. Its development…
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Hacker News: BERTs Are Generative In-Context Learners
Source URL: https://arxiv.org/abs/2406.04823 Source: Hacker News Title: BERTs Are Generative In-Context Learners Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper titled “BERTs are Generative In-Context Learners” explores the capabilities of masked language models, specifically DeBERTa, in performing generative tasks akin to those of causal language models like GPT. This demonstrates a significant…