Tag: supervised fine-tuning

  • 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…

  • Hacker News: Omnivision-968M: Vision Language Model with 9x Tokens Reduction for Edge Devices

    Source URL: https://nexa.ai/blogs/[object Object] Source: Hacker News Title: Omnivision-968M: Vision Language Model with 9x Tokens Reduction for Edge Devices Feedly Summary: Comments AI Summary and Description: Yes **Summary:** OmniVision is an advanced multimodal model designed for effective processing of visual and textual inputs on edge devices. It improves upon the LLaVA architecture by reducing image…

  • Hacker News: OpenCoder: Open-Source LLM for Coding

    Source URL: https://arxiv.org/abs/2411.04905 Source: Hacker News Title: OpenCoder: Open-Source LLM for Coding Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses “OpenCoder,” a large language model (LLM) specifically designed for code generation and related tasks. It highlights the importance of transparency in AI research by providing not only the model but also…

  • 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…

  • 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…

  • 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…