As builders of AI systems for the enterprise, we build and measure our models according to the value they bring to the enterprise. That's why our benchmarks focus on comparisons with other enterprise-focused open model providers, such as Mistral, Cohere, and Llama
@ai21labs
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1.6 Excels at RAG and Long Context Grounded Question Answering
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1.6 excels at RAG and long context grounded question answering tasks – that is where enterprises see the most value.
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Jamba Architecture Drives Advanced AI System Capabilities
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This architecture is crucial for our future AI systems. We are already using Jamba within a more sophisticated environment and seeing significant advancements due to its capabilities. Let us know what you think of this version of Jamba!
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Jamba Mini 1.6 Outperforms Competitors in Output Speed
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Jamba Mini 1.6 outpacing Gemini 2.0 Flash, GPT-4o mini, and Mistral Small 3 on output speed. https://
artificialanalysis.ai/models/jamba-1
-6-mini
… This is what fast looks like! #BuildOpen #AI21Jamba -
AI21 Launches Jamba 1.6: Top Open Model for Enterprise
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Today we launched Jamba 1.6, the best open model for private enterprise deployment. AI21’s Jamba outperforms Cohere, Mistral and Llama on key benchmarks, including Arena Hard, and rivals leading closed models while maintaining unmatched speed and quality. Now available on
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Current AI Systems Fundamentally Broken: Next Enterprise AI Phase
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Current AI systems are fundamentally broken. Our co-founders and co-CEOs @origoshen and @yshoham share their thoughts on what the next phase of Enterprise AI will look like.
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YAAP First Episode: RAG Evaluation Done Wrong
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Happy to share #YAAP Yet Another AI Podcast – 1st episode #RAG Evaluation – You're Doing It Wrong https://
youtu.be/RsSkwpTmn8o?si
=uX5r1eUAwzE21TGf
… via @YouTube -
Jamba Enables Document Analysis and Workflow Automation with AWS
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📣 Check out the latest from #AmazonBedrock & AI21 Labs.
— AI21 Labs (@AI21Labs) 5 février 2025
In this interview, our very own Chris Carpenter shares with @AWSAI's Brooke Jamieson how #Jamba makes it easier for organizations to extract insights from long form documents, automate workflows and build faster, smarter… https://t.co/6A6686tf60Check out the latest from #AmazonBedrock & AI21 Labs. In this interview, our very own Chris Carpenter shares with @AWSAI
's Brooke Jamieson how #Jamba makes it easier for organizations to extract insights from long form documents, automate workflows and build faster, smarter -
Jamba Hybrid Transformer-Mamba Paper Accepted to ICLR 2025
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Excited to share that our paper, Jamba: Hybrid Transformer-Mamba Language Models, has been accepted to ICLR 2025! We’re honored to contribute to this important platform and the collective knowledge of the AI community by sharing our work openly and submitting it for peer review.
