Tag: supervised fine-tuning
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Hacker News: WhisperNER: Unified Open Named Entity and Speech Recognition
Source URL: https://arxiv.org/abs/2409.08107 Source: Hacker News Title: WhisperNER: Unified Open Named Entity and Speech Recognition Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces WhisperNER, a novel model that integrates named entity recognition (NER) with automatic speech recognition (ASR) to enhance transcription accuracy and informativeness. This integration is particularly relevant for AI…
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Hacker News: AMD Open-Source 1B OLMo Language Models
Source URL: https://www.amd.com/en/developer/resources/technical-articles/introducing-the-first-amd-1b-language-model.html Source: Hacker News Title: AMD Open-Source 1B OLMo Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses AMD’s development and release of the OLMo series, a set of open-source large language models (LLMs) designed to cater to specific organizational needs through customizable training and architecture adjustments. This…
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Cloud Blog: When to use supervised fine-tuning for Gemini
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/supervised-fine-tuning-for-gemini-llm/ Source: Cloud Blog Title: When to use supervised fine-tuning for Gemini Feedly Summary: Have you ever wished you could get a foundation model to respond in a particular style, exhibit domain-specific expertise, or excel at a specific task? While foundation models like Gemini demonstrate remarkable capabilities out-of-the-box, there can be a gap…
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Hacker News: MM1.5: Methods, Analysis and Insights from Multimodal LLM Fine-Tuning
Source URL: https://arxiv.org/abs/2409.20566 Source: Hacker News Title: MM1.5: Methods, Analysis and Insights from Multimodal LLM Fine-Tuning Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces MM1.5, a novel set of multimodal large language models (MLLMs) aimed at improving multimodal understanding and reasoning through enhanced training methodologies. It highlights innovative techniques in data…