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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

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 claims to achieve top-tier search quality with less than 100 million parameters. Separately, a guide to using `torch.profiler` in PyTorch has been published, focusing on profiling techniques within the framework. AI

IMPACT Provides a new open-source embedding model for multilingual tasks and offers guidance on optimizing performance within PyTorch.

RANK_REASON The cluster contains an announcement of an open-source model release and a technical guide for a popular framework.

Read on Mastodon — sigmoid.social →

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

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

COVERAGE [2]

  1. Mastodon — sigmoid.social 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

  2. Mastodon — sigmoid.social 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