IBM Research
PulseAugur coverage of IBM Research — every cluster mentioning IBM Research across labs, papers, and developer communities, ranked by signal.
- subsidiary of IBM 100%
- developed Vakra 95%
- developed Granite Embedding Multilingual R2 95%
- developed by ScarfBench 95%
- developed by Vakra 90%
- developed ScarfBench 90%
- used by Vakra 60%
- affiliated with Vakra 60%
- affiliated with DeepInfra 50%
- competes with DeepInfra 50%
- affiliated with Mellum2 50%
- affiliated with Inkling 50%
- 2026-09-07 product_launch IBM Research has launched two new AI models, Vakra and Granite Embedding Multilingual R2. source
7 day(s) with sentiment data
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Self-hosted RAG solutions gain traction for enterprise data security
Enterprises are increasingly adopting Retrieval-Augmented Generation (RAG) to access internal sensitive data, but security concerns necessitate self-hosted solutions. RAG systems can be vulnerable to attacks that reveal…
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New method tackles AI agent inconsistency, improving reliability
Researchers have developed a new method to address the inconsistency problem in AI agents, where a task that succeeds once may fail on subsequent attempts. This issue, often masked by average performance metrics, is par…
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JetBrains, Thinking Machines, and IBM Research launch new AI models and insights · 3 sources tracked
JetBrains has launched Mellum2, a 12 billion parameter expert mixture model, detailed on Hugging Face. Separately, Thinking Machines has introduced Inkling, also featured on Hugging Face. IBM Research has published insi…
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IBM Research unveils Vakra analysis tool and Granite multilingual embedding model
IBM Research has released two new AI models: Vakra, which analyzes agent reasoning, tool usage, and failure modes, and Granite Embedding Multilingual R2, an open-source multilingual embedding model with a 32K context wi…
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AI research on agent memory and LLM benchmarks highlighted
Two Mastodon posts highlight recent research from Hugging Face blogs concerning AI agents and LLM benchmarks. The first post discusses the memory requirements for AI agents, referencing research from IBM Research on ALT…
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IBM Research open-sources AI policy schema for GenAI
IBM Research has released an open-source policy schema designed for generative AI applications. This schema, presented in YAML format, along with a synthetic data pipeline, aims to help enforce content rules throughout …
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Hugging Face Spotlights AI Advancements in DPO, New Models, and Routing
Hugging Face is highlighting several recent advancements in AI, including a blog post on Direct Preference Optimization (DPO) which enables language models to act as reward models. Another post discusses newer models th…
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IBM Research explores agentic development bottlenecks
IBM Research developer advocate Markus Eisele is exploring agentic development, focusing on the crucial aspects of creating effective system specifications and ensuring quality assurance for AI-generated outputs. His wo…
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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 mo…
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Agent memory boosts some AI models, but not others, IBM Research finds
IBM Research conducted tests on agent memory across eight AI models, observing varied performance improvements. The largest model tested showed no gains, while an 117B parameter model saw a 16-point increase in performa…
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Hugging Face and IBM Research explore AI agent memory needs
A blog post from Hugging Face, co-authored by IBM Research, explores the memory requirements for AI agents. The article, titled "How Much Memory Does Your Agent Actually Need?", delves into the specifics of memory capac…
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Hugging Face blog posts cover AI openness, model updates, and routing · 6 sources tracked
Hugging Face is publishing a series of blog posts covering various AI topics. These include discussions on the importance of openness in AI and cybersecurity, the addition of MCP tools to Reachy Mini, and an analysis of…
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Hugging Face highlights AI research in optimization, specialization, and new models
Hugging Face is highlighting several recent advancements in AI research and development. These include a new method for direct preference optimization that goes beyond typical chatbot applications, and a discussion on t…
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GENCO neural solver unifies grid analysis tasks, offering major speedups
Researchers have developed GENCO, a unified neural solver designed for steady-state analysis of electrical transmission grids. This new architecture can handle power flow, optimal power flow, and state estimation tasks …
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IBM Research unveils Vakra and Granite Embedding Multilingual R2 models
IBM Research has released two new models: Vakra, designed for analyzing agent reasoning and tool usage, and Granite Embedding Multilingual R2, an open-source multilingual embedding model with a 32K context window. Vakra…
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AI model routing optimization requires logistical approach, experts say
Routing AI models can be a cost-saving strategy, but without considering caching and content delivery infrastructure, it may lead to losses. IBM Research experts suggest that the key to success lies in treating model se…
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Thinking Machines unveils Inkling AI model; IBM Research discusses routing · 2 sources tracked
Thinking Machines has introduced Inkling, a new AI model, as detailed on Hugging Face. Separately, IBM Research has published insights on model routing, also shared via Hugging Face. Both posts were automatically genera…
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JetBrains launches Mellum2 model; Hugging Face highlights evaluations and ScarfBench
JetBrains has launched Mellum2, a 12 billion parameter expert mixture model, detailed on Hugging Face. Separately, Hugging Face is showcasing past evaluation results for various models on its platform. Additionally, IBM…
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Hugging Face Blog Posts Cover AI Agents, Inference, and Batch Processing · 3 sources tracked
This cluster aggregates three posts from Mastodon, each linking to a Hugging Face blog post. The first post discusses the internal workings of Vakra, focusing on agent reasoning, tool usage, and failure modes, as detail…
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New tools simplify local LLM management and financial AI, with routing strategies explored
This week's AI news highlights tools for self-hosted AI, including OmniRoute, an open-source gateway designed to manage over 500 large language models from various providers through a single API. Also featured is Kronos…