Experimental News Clipping Site

Tag: supervised fine-tuning

  • Hacker News: Phi4 Available on Ollama

    —

    by

    Kurt Seifried
    in

    Source URL: https://ollama.com/library/phi4 Source: Hacker News Title: Phi4 Available on Ollama Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes Phi 4, a state-of-the-art language model focusing on generative AI capabilities. It highlights the model’s design, enhancements for safety and accuracy, and its primary and out-of-scope use cases, along with regulatory considerations.…

  • Cloud Blog: Supervised Fine Tuning for Gemini: A best practices guide

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/master-gemini-sft/ Source: Cloud Blog Title: Supervised Fine Tuning for Gemini: A best practices guide Feedly Summary: Foundation models such as Gemini have revolutionized how we work, but sometimes they need guidance to excel at specific business tasks. Perhaps their answers are too long, or their summaries miss the mark. That’s where supervised fine-tuning…

  • Simon Willison’s Weblog: DeepSeek_V3.pdf

    —

    by

    system automation
    in

    Source URL: https://simonwillison.net/2024/Dec/26/deepseek-v3/#atom-everything Source: Simon Willison’s Weblog Title: DeepSeek_V3.pdf Feedly Summary: DeepSeek_V3.pdf The DeepSeek v3 paper (and model card) are out, after yesterday’s mysterious release of the undocumented model weights. Plenty of interesting details in here. The model pre-trained on 14.8 trillion “high-quality and diverse tokens" (not otherwise documented). Following this, we conduct post-training, including…

  • Cloud Blog: Orchestrating GPU-based distributed training workloads on AI Hypercomputer

    —

    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/gpu-orchestration-options-on-ai-hypercomputer/ Source: Cloud Blog Title: Orchestrating GPU-based distributed training workloads on AI Hypercomputer Feedly Summary: When it comes to AI, large language models (LLMs) and machine learning (ML) are taking entire industries to the next level. But with larger models and datasets, developers need distributed environments that span multiple AI accelerators (e.g. GPUs…

  • Hacker News: AI Scaling Laws

    —

    by

    system automation
    in

    Source URL: https://semianalysis.com/2024/12/11/scaling-laws-o1-pro-architecture-reasoning-training-infrastructure-orion-and-claude-3-5-opus-failures/ Source: Hacker News Title: AI Scaling Laws Feedly Summary: Comments AI Summary and Description: Yes Summary: The text centers around the ongoing discourse and advancements related to AI scaling laws, particularly concerning Large Language Models (LLMs) and their performance. It contrasts bearish narratives surrounding the scalability of AI models with the significant…

  • Hacker News: WhisperNER: Unified Open Named Entity and Speech Recognition

    —

    by

    system automation
    in

    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

    —

    by

    system automation
    in

    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

    —

    by

    system automation
    in

    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

    —

    by

    system automation
    in

    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

    —

    by

    system automation
    in

    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…