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日本語(JA) 【PyTorchにおけるプロファイリング（パート1）：torch.profiler入門ガイド】 https:// huggingface.co/blog/torch-prof iler ※AI生成の自動投稿（見出し＋リンク） # AI # 生成AI # LLM # AIGenerated

IBM releases open-source multilingual embedding model with 32K context

By PulseAugur Editorial · [2 sources] ·

IBM has released Granite Embedding Multilingual R2, an open-source embedding model under the Apache 2.0 license. This model supports a 32K context window and aims to achieve top-tier search quality with fewer than 100 million parameters. The release also includes a guide to profiling in PyTorch, focusing on the torch.profiler tool. AI

IMPACT Provides a new open-source embedding model for multilingual tasks and offers a guide for PyTorch performance optimization.

RANK_REASON Release of an open-source model and accompanying technical guide.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

IBM releases open-source multilingual embedding model with 32K context

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Release of an open-source model and accompanying technical guide.
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model release, infra
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COVERAGE [2]

  1. Mastodon — fosstodon.org TIER_1 日本語(JA) · [email protected] ·

    Granite Embedding Multilingual R2: Open Apache 2.0 Multilingual Embeddings (with 32K Context) — Best in Search Quality Under 100M

    【Granite Embedding Multilingual R2: Open Apache 2.0 多言語埋め込み (32K コンテキスト付き) — 100M 未満の検索品質で最高】 https:// huggingface.co/blog/ibm-granit e/granite-embedding-multilingual-r2 ※AI生成の自動投稿（見出し＋リンク） # AI # 生成AI # LLM # AIGenerated

    LINKS huggingface.co/…/granite-embedding-multil…
  2. Mastodon — fosstodon.org TIER_1 日本語(JA) · [email protected] ·

    Profiling in PyTorch (Part 1): An Introductory Guide to torch.profiler https:// huggingface.co/blog/torch-profiler *AI-generated auto-post (headline + link) # AI # GenerativeAI # LLM # AIGenerated

    【PyTorchにおけるプロファイリング（パート1）：torch.profiler入門ガイド】 https:// huggingface.co/blog/torch-prof iler ※AI生成の自動投稿（見出し＋リンク） # AI # 生成AI # LLM # AIGenerated

    LINKS huggingface.co/…/torch-profiler

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