Experimental News Clipping Site

Tag: Inference

  • Simon Willison’s Weblog: Gemini API Additional Terms of Service

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    Source URL: https://simonwillison.net/2024/Oct/17/gemini-terms-of-service/#atom-everything Source: Simon Willison’s Weblog Title: Gemini API Additional Terms of Service Feedly Summary: Gemini API Additional Terms of Service I’ve been trying to figure out what Google’s policy is on using data submitted to their Google Gemini LLM for further training. It turns out it’s clearly spelled out in their terms of…

  • Simon Willison’s Weblog: Un Ministral, des Ministraux

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    Source URL: https://simonwillison.net/2024/Oct/16/un-ministral-des-ministraux/ Source: Simon Willison’s Weblog Title: Un Ministral, des Ministraux Feedly Summary: Un Ministral, des Ministraux Two new models from Mistral: Ministral 3B and Ministral 8B (joining Mixtral, Pixtral, Codestral and Mathstral as weird naming variants on the Mistral theme. These models set a new frontier in knowledge, commonsense, reasoning, function-calling, and efficiency…

  • Hacker News: Un Ministral, Des Ministraux

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    Source URL: https://mistral.ai/news/ministraux/ Source: Hacker News Title: Un Ministral, Des Ministraux Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces two advanced edge AI models, Ministral 3B and Ministral 8B, designed for on-device computing and privacy-first applications. These models stand out for their efficiency, context length support, and capability to facilitate critical…

  • Cloud Blog: Beyond the basics: Build real-world gen AI skills with the latest learning paths from Google Cloud

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    Source URL: https://cloud.google.com/blog/topics/training-certifications/four-new-gen-ai-learning-paths-on-offer/ Source: Cloud Blog Title: Beyond the basics: Build real-world gen AI skills with the latest learning paths from Google Cloud Feedly Summary: The majority of organizations don’t feel ready for the AI era. In fact, 62% say they don’t have the expertise they need to unlock AI’s full potential.1 As the leader…

  • Cloud Blog: How Shopify improved consumer search intent with real-time ML

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    Source URL: https://cloud.google.com/blog/products/data-analytics/how-shopify-improved-consumer-search-intent-with-real-time-ml/ Source: Cloud Blog Title: How Shopify improved consumer search intent with real-time ML Feedly Summary: In the dynamic landscape of commerce, Shopify merchants rely on our platform’s ability to seamlessly and reliably deliver highly relevant products to potential customers. Therefore, a rich and intuitive search experience is an essential part of our…

  • Hacker News: Zamba2-7B

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    Source URL: https://www.zyphra.com/post/zamba2-7b Source: Hacker News Title: Zamba2-7B Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes the architecture and capabilities of Zamba2-7B, an advanced AI model that utilizes a hybrid SSM-attention architecture, aiming for enhanced inference efficiency and performance. Its open-source release invites collaboration within the AI community, potentially impacting research…

  • Hacker News: Play 3.0 mini – A lightweight, reliable, cost-efficient Multilingual TTS model

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    Source URL: https://play.ht/news/introducing-play-3-0-mini/ Source: Hacker News Title: Play 3.0 mini – A lightweight, reliable, cost-efficient Multilingual TTS model Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the launch of a new advanced voice AI model (Play 3.0 mini) capable of natural, multilingual conversations, improving upon previous models in speed, reliability, and…

  • Hacker News: Llama 405B 506 tokens/second on an H200

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    Source URL: https://developer.nvidia.com/blog/boosting-llama-3-1-405b-throughput-by-another-1-5x-on-nvidia-h200-tensor-core-gpus-and-nvlink-switch/ Source: Hacker News Title: Llama 405B 506 tokens/second on an H200 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advancements in LLM (Large Language Model) processing techniques, specifically focusing on tensor and pipeline parallelism within NVIDIA’s architecture, enhancing performance in inference tasks. It provides insights into how these…

  • Simon Willison’s Weblog: lm.rs: run inference on Language Models locally on the CPU with Rust

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    Source URL: https://simonwillison.net/2024/Oct/11/lmrs/ Source: Simon Willison’s Weblog Title: lm.rs: run inference on Language Models locally on the CPU with Rust Feedly Summary: lm.rs: run inference on Language Models locally on the CPU with Rust Impressive new LLM inference implementation in Rust by Samuel Vitorino. I tried it just now on an M2 Mac with 64GB…

  • Hacker News: Lm.rs Minimal CPU LLM inference in Rust with no dependency

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    Source URL: https://github.com/samuel-vitorino/lm.rs Source: Hacker News Title: Lm.rs Minimal CPU LLM inference in Rust with no dependency Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text pertains to the development and utilization of a Rust-based application for running inference on Large Language Models (LLMs), particularly the LLama 3.2 models. It discusses technical…