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related 2.32 — strongly supporting 4 facts
GPT-4 and Claude are both categorized as large language models capable of processing unstructured data [1] and are frequently compared for their instruction-following performance [2]. Additionally, both models are supported as backends for the RefChecker framework's hallucination checking [3] and claim triplet extraction [4] components.
Facts (4)
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New tool, dataset help detect hallucinations in large language models amazon.science 2 facts
claimIn the initial release of RefChecker, the automatic hallucination checker supports GPT-4, Claude 2, and RoBERTa-NLI, with plans to release additional open-source checkers such as AlignScore and a Mistral-based checker.
claimIn the initial release of RefChecker, the claim triplet extractor supports GPT-4 and Claude 2, with plans to provide a Mixtral-8x7B open-source extractor in a future release.
Building Better Agentic Systems with Neuro-Symbolic AI cutter.com 1 fact
claimDeep learning neural network-based large language models, such as GPT-4, Claude, and Gemini, process unstructured data including text, images, video, and streaming sensor data to learn patterns, classify data, and make predictions.
Building Trustworthy NeuroSymbolic AI Systems - arXiv arxiv.org 1 fact
claimGPT-3.5, Claude, and GPT-4.0 adhere more closely to instructions than LLama2 (Touvron et al. 2023), Vicuna (Chiang et al. 2023), and Falcon (Penedo et al. 2023).