A few months back I published two pieces (see here and here) where I was able to break ChatGPT4 (hereafter just ChatGPT). More recently I revisited some of the types of challenges I posed to it in the…
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Patronus AI emerged from stealth today with a $3 million seed to help regulated industries evaluate large language models.
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Multimodal Large Language Models (MLLMs) that integrate text and other modalities (especially vision) have achieved unprecedented performance in various multimodal tasks. However, due to the unsolved adversarial robustness problem of vision models, MLLMs can have more severe safety and security risks by introducing the …
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Preamble Ebbinghaus (Wikipedia Machine Learning (ML)  is now a de-facto skill for every quantitative job and almost every industry embraced...
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Classify data instantly using an LLM. Contribute to lamini-ai/llm_classifier development by creating an account on GitHub.
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Until recently, fine-tuning large language models (LLMs) on a single GPU was a pipe dream. This is because of the large size of these models, leading to colossal memory and storage requirements. For example, you need 780 GB of GPU memory to fine-tune a Llama 65B parameter model. The recent
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Apple machine learning teams are engaged in state of the art research in machine learning and artificial intelligence. Learn about the latest advancements.
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The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al. - GitHub - WooooDyy/LLM-Agent-Paper-List: The paper list o...
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🤖 AgentVerse 🪐 provides a flexible framework that simplifies the process of building custom multi-agent environments for large language models (LLMs). - GitHub - OpenBMB/AgentVerse: 🤖 AgentVerse 🪐 ...
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LLM Guard provides extensive evaluators for both inputs and outputs of LLMs, offering sanitization, detection of harmful language and data leakage. Learn more here. The post LLM Guard: Open-Source Toolkit for Securing Large Language Models appeared first on L…
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