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.
@ai21labs
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AI21 Labs Launches Free Jamba Long Context Course with Andrew Ng
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We’re excited to announce that our new course, ‘Build Long Context AI Apps with Jamba’, built in partnership with @AndrewYNg @DeepLearningAI is now live – and it’s currently free! In this course, Chen Wang and Chen Almagor from AI21 Labs will walk you through how to use
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AI21 Labs Warns Against Fraudulent Cryptocurrency Scams
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We are warning about scams being perpetrated by malicious actors falsely claiming to be AI21-related crypto/tokens. We explicitly clarify: AI21 has absolutely no connection, direct or indirect, to any cryptocurrency or tokens whatsoever. These cases have been reported to X and
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Jamba 1.5: Balancing Speed and Quality Efficiency
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But our cost, efficiency and speed don't come at the expense of quality. In the following chart, Jamba 1.5 Large and Mini both show a great balance between speed and quality (QI is where you want to be). >>
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Jamba Architecture Optimizes Speed-Cost-Quality Triangle
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High throughput itself is never enough; it's all about optimizing the speed-cost-quality triangle. Thanks to Jamba’s architecture, we offer high speed at a very competitive price (in the image below, QII is where you want to be). >>
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Jamba 1.5 Models Demonstrate Significantly Superior Throughput Performance
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We know that Jamba 1.5 models are the fastest, but the question is – how fast? @ArtificialAnlys tested our models to find out The image below shows the throughput for various models (with prompt length = 10K tokens). Jamba 1.5 models are a whole lot faster – and that speed
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Jamba 1.5 Model Family Now Available on Google Cloud Vertex AI
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Introducing the Jamba 1.5 Model Family on @googlecloud
's Vertex AI: – Simplify development and evaluation with advanced tools and intuitive API calls.
– Focus on innovation with fully managed infrastructure and cost-effective, pay-as-you-go pricing.
– Ensure data security with -
AI21 Labs Jamba 1.5 Models Optimized for Agent Creation
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Our team had a blast at the @agihouse_org agents hackathon yesterday in the Bay Area with @langchain
, @GroqInc , @DeepLearningAI & @AndrewYNg
. Our new Jamba 1.5 models are optimized for agent creation with a ton of built in features like:
– Function calling
– Structured JSON -
Jamba-1.5 Models Demonstrate Strong Multilingual Performance Despite Limited Post-Training Data
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Jamba-1.5 models perform well in multiple languages, even though we include only a very small fraction of non-english data in the post-training phase. Therefore, we speculate the models are able to use the learned multilingual capabilities from the pre-training phase. 6/7