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日本語(JA) 【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 未満の検索品質が最高】 https:// huggingface.co/blog/ibm-granit e/granite-embedding-multil

IBM Research unveils Vakra and Granite Embedding Multilingual R2 models

IBM Research has released two new models via Hugging Face: Vakra, a benchmark for analyzing agent reasoning, tool usage, and failure modes, and Granite Embedding Multilingual R2, an open-source multilingual embedding model with a 32K context window. Vakra aims to provide deeper insights into how AI agents operate, while Granite Embedding Multilingual R2 is designed for high-quality search capabilities with a focus on models under 100 million parameters. AI

IMPACT These releases offer new tools for AI research and development, focusing on agent analysis and multilingual embedding capabilities.

RANK_REASON Two new research models released by a major lab.

Read on Mastodon — fosstodon.org →

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

IBM Research unveils Vakra and Granite Embedding Multilingual R2 models

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Two new research models released by a major lab.
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COVERAGE [2]

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

    VAKRA's Internal Structure: Agent Reasoning, Tool Use, and Failure Modes https:// huggingface.co/blog/ibm-resear ch/vakra-benchmark-analysis ※AI-generated automatic post (headline + link) # AI # GenerativeAI # LLM # AIGenerated

    【VAKRAの内部構造:エージェントの推論、ツールの使用、および障害モード】 https:// huggingface.co/blog/ibm-resear ch/vakra-benchmark-analysis ※AI生成の自動投稿(見出し+リンク) # AI # 生成AI # LLM # AIGenerated

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

    Granite Embedding Multilingual R2: Open Apache 2.0 Multilingual Embeddings (with 32K Context) — Search Quality Under 100M is Top-Tier

    【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 未満の検索品質が最高】 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