AI21 builds market-leading models for the enterprise. Our Foundation Model, Jamba, is a breakthrough SSM-Transformer model that is the first production-grade Mamba-based model delivering best-in-class quality and performance. AI2's Task-Specific Models are smaller, specialized models purpose-built to solve key enterprise challenges. Our Contextual Answers and Summarization TSMs offer unprecedented efficiency and cost-savings on core enterprise use cases.
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I'm proud to share a new state-of-the-art result on the SWE-Rebench coding benchmark: a 60.9% issue resolve rate on issues from December 2025 to March 2026, beating the previous best.If you've used a coding agent like Claude Code or Cursor, you've probably noticed the pattern: it reads the issue, searches the repo to find the relevant files, then tries to solve. Research first, then solve. We tried that approach and went further - added a dedicated research step using a focused agent to gather ...
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Caching is every eval engineer's best friend. Until your agent uses best-of-N sampling.But caching was built for a deterministic world: same input, same output, every time. LLMs, which are non-deterministic by nature, don’t play by these rules. Especially when we’re dealing with an agent that uses best-of-N sampling to improve accuracy.In the latest Labs in Front piece, AI21 Labs software engineer Guy Lichtenfeld tackles the question: How can we reproduce variance? In other words, how do we pres ...
已结束Why your agent evals may be completely wrong
已结束AI21 Labs推出Maestro人工智能规划系统，可将大型语言模型输出质量提高50%，简化错误缓解和任务管理。
谷歌为 Vertex AI 引入新工具，用于构建和部署多代理人工智能系统，包括代理开发工具包、代理花园和代理引擎。
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