fine-tuning – Page 17 – Experimental News Clipping Site

AWS News Blog: Fine-tuning for Anthropic’s Claude 3 Haiku model in Amazon Bedrock is now generally available

Nov 1, 2024

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Source URL: https://aws.amazon.com/blogs/aws/fine-tuning-for-anthropics-claude-3-haiku-model-in-amazon-bedrock-is-now-generally-available/ Source: AWS News Blog Title: Fine-tuning for Anthropic’s Claude 3 Haiku model in Amazon Bedrock is now generally available Feedly Summary: Unlock Anthropic’s Claude 3 Haiku model’s full potential with Amazon Bedrock’s fine-tuning for enhanced accuracy and customization. AI Summary and Description: Yes Summary: The text highlights the general availability of fine-tuning…

Cloud Blog: Arize, Vertex AI API: Evaluation workflows to accelerate generative app development and AI ROI

Oct 31, 2024

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Source URL: https://cloud.google.com/blog/topics/partners/benefits-of-arize-ai-in-tandem-with-vertex-ai-api-for-gemini/ Source: Cloud Blog Title: Arize, Vertex AI API: Evaluation workflows to accelerate generative app development and AI ROI Feedly Summary: In the rapidly evolving landscape of artificial intelligence, enterprise AI engineering teams must constantly seek cutting-edge solutions to drive innovation, enhance productivity, and maintain a competitive edge. In leveraging an AI observability…

Cloud Blog: Introducing an industry first: application awareness on Cloud Interconnect

Oct 30, 2024

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Source URL: https://cloud.google.com/blog/products/networking/cross-cloud-network-enhancements-for-distributed-workloads/ Source: Cloud Blog Title: Introducing an industry first: application awareness on Cloud Interconnect Feedly Summary: Multicloud architectures are becoming commonplace as more business-critical applications are moving to the cloud. Last year, we introduced the Cross-Cloud Network to transform and simplify hybrid and multicloud connectivity, and enable organizations to easily build distributed applications.…

Hamel’s Blog: Creating a LLM-as-a-Judge That Drives Business Results

Oct 30, 2024

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Source URL: https://hamel.dev/blog/posts/llm-judge/ Source: Hamel’s Blog Title: Creating a LLM-as-a-Judge That Drives Business Results Feedly Summary: Earlier this year, I wrote Your AI product needs evals. Many of you asked, “How do I get started with LLM-as-a-judge?” This guide shares what I’ve learned after helping over 30 companies set up their evaluation systems. The Problem:…

The Register: The troublesome economics of CPU-only AI

Oct 29, 2024

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Source URL: https://www.theregister.com/2024/10/29/cpu_gen_ai_gpu/ Source: The Register Title: The troublesome economics of CPU-only AI Feedly Summary: At the end of the day, it all boils down to tokens per dollar Analysis Today, most GenAI models are trained and run on GPUs or some other specialized accelerator, but that doesn’t mean they have to be. In fact,…

Hacker News: Using reinforcement learning and $4.80 of GPU time to find the best HN post

Oct 28, 2024

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Source URL: https://openpipe.ai/blog/hacker-news-rlhf-part-1 Source: Hacker News Title: Using reinforcement learning and $4.80 of GPU time to find the best HN post Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development of a managed fine-tuning service for large language models (LLMs), highlighting the use of reinforcement learning from human feedback (RLHF)…

Hacker News: Throw more AI at your problems

Oct 24, 2024

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Source URL: https://frontierai.substack.com/p/throw-more-ai-at-your-problems Source: Hacker News Title: Throw more AI at your problems Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights into the evolution of AI application development, particularly around the use of multiple LLM (Large Language Model) calls as a means to effectively address problems. It emphasizes a shift…

Cloud Blog: Save on GPUs: Smarter autoscaling for your GKE inferencing workloads

Oct 23, 2024

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Source URL: https://cloud.google.com/blog/products/containers-kubernetes/tuning-the-gke-hpa-to-run-inference-on-gpus/ Source: Cloud Blog Title: Save on GPUs: Smarter autoscaling for your GKE inferencing workloads Feedly Summary: While LLM models deliver immense value for an increasing number of use cases, running LLM inference workloads can be costly. If you’re taking advantage of the latest open models and infrastructure, autoscaling can help you optimize…

METR Blog – METR: METR – Comment on NIST AI 800-1 (Managing Misuse Risk for Dual-Use Foundation Models)

Oct 23, 2024

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Source URL: https://downloads.regulations.gov/NIST-2024-0002-0022/attachment_1.pdf Source: METR Blog – METR Title: METR – Comment on NIST AI 800-1 (Managing Misuse Risk for Dual-Use Foundation Models) Feedly Summary: AI Summary and Description: Yes Summary: The text provides insights into the National Institute of Standards and Technology’s (NIST) document on managing misuse risk for dual-use AI foundation models. It…

Hacker News: Fine-Tuning LLMs: A Review of Technologies, Research, Best Practices, Challenges

Oct 22, 2024

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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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