Tag: model deployment
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Cloud Blog: Announcing the general availability of Trillium, our sixth-generation TPU
Source URL: https://cloud.google.com/blog/products/compute/trillium-tpu-is-ga/ Source: Cloud Blog Title: Announcing the general availability of Trillium, our sixth-generation TPU Feedly Summary: The rise of large-scale AI models capable of processing diverse modalities like text and images presents a unique infrastructural challenge. These models require immense computational power and specialized hardware to efficiently handle training, fine-tuning, and inference. Over…
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AWS News Blog: Use Amazon Q Developer to build ML models in Amazon SageMaker Canvas
Source URL: https://aws.amazon.com/blogs/aws/use-amazon-q-developer-to-build-ml-models-in-amazon-sagemaker-canvas/ Source: AWS News Blog Title: Use Amazon Q Developer to build ML models in Amazon SageMaker Canvas Feedly Summary: Q Developer empowers non-ML experts to build ML models using natural language, enabling organizations to innovate faster with reduced time to market. AI Summary and Description: Yes **Summary:** Amazon Q Developer, newly available…
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Simon Willison’s Weblog: Quantization matters
Source URL: https://simonwillison.net/2024/Nov/23/quantization-matters/#atom-everything Source: Simon Willison’s Weblog Title: Quantization matters Feedly Summary: Quantization matters What impact does quantization have on the performance of an LLM? been wondering about this for quite a while, now here are numbers from Paul Gauthier. He ran differently quantized versions of Qwen 2.5 32B Instruct through his Aider code editing…
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Hacker News: ML in Go with a Python Sidecar
Source URL: https://eli.thegreenplace.net/2024/ml-in-go-with-a-python-sidecar/ Source: Hacker News Title: ML in Go with a Python Sidecar Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a comprehensive overview of various methods for integrating machine learning models, particularly large language models (LLMs), into Go applications. It discusses approaches for using existing commercial LLM APIs, running…
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Hacker News: 1-Click Models Powered by Hugging Face
Source URL: https://www.digitalocean.com/blog/one-click-models-on-do-powered-by-huggingface Source: Hacker News Title: 1-Click Models Powered by Hugging Face Feedly Summary: Comments AI Summary and Description: Yes Summary: DigitalOcean has launched a new 1-Click Model deployment service powered by Hugging Face, termed HUGS on DO. This feature allows users to quickly deploy popular generative AI models on DigitalOcean GPU Droplets, aiming…
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Hacker News: Fine-Tuning LLMs: A Review of Technologies, Research, Best Practices, Challenges
Source URL: https://arxiv.org/abs/2408.13296 Source: Hacker News Title: Fine-Tuning LLMs: A Review of Technologies, Research, Best Practices, Challenges Feedly Summary: Comments AI Summary and Description: Yes Summary: This guide extensively covers the fine-tuning of Large Language Models (LLMs), detailing methodologies, techniques, and practical applications. Its relevance to AI and LLM security professionals is underscored by discussions…
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AWS News Blog: AWS Weekly Roundup: Agentic workflows, Amazon Transcribe, AWS Lambda insights, and more (October 21, 2024)
Source URL: https://aws.amazon.com/blogs/aws/aws-weekly-roundup-agentic-workflows-amazon-transcribe-aws-lambda-insights-and-more-october-21-2024/ Source: AWS News Blog Title: AWS Weekly Roundup: Agentic workflows, Amazon Transcribe, AWS Lambda insights, and more (October 21, 2024) Feedly Summary: Agentic workflows are quickly becoming a cornerstone of AI innovation, enabling intelligent systems to autonomously handle and refine complex tasks in a way that mirrors human problem-solving. Last week, we…