AI BriefingLong Context
Key point
AI21 Labs announced the Jamba 1.5 models, which maximize effective context length and improve cost efficiency.
Details
Jamba 1.5 Large and Mini models offer a context window of 256K tokens. This is 32 times longer than the previous series, and far longer than competing models of similar scale.
More important than simply increasing context length is how usefully the model leverages it. NVIDIA's RULER benchmark measures the 'effective length' at which a model maintains 85% or higher performance, and Jamba offers the longest effective context window on the market.
Jamba is built on the Mamba architecture. While the sparse attention methods that existing Transformer models use to handle long context come with the side effect of degrading answer quality, Jamba overcomes this and maintains high quality.
Additionally, Jamba 1.5 demonstrates excellent efficiency even when processing long context.
- Maintains low latency and strong cost-effectiveness
- Jamba 1.5 Mini records the fastest speed at a 10K context length
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