AI21 Labs Launches Jamba, Outperforming Similar Models with Improved Performance and Efficiency on Long Context Tasks

🤖 From this week's issue: AI21 Labs announced Jamba, the world’s first production-grade Mamba model with a 256k context window. https://t.co/VcncgKnFs7

Summarizing important arXiv papers. 🚀 🌟Key Insight: The ability of large language models to handle long-context tasks with a large number of labels varies widely and can be influenced by factors such as input length and instance positioning. Paper ID: 2404.02060 🧵👇 https://t.co/XSG5gog8pF https://t.co/j2pU1CThdw

Releasing Jambert, my first official fine-tune of Jamba by @AI21Labs Still experimental, but on a specialized task where Mamba has the potential to shine: RAG synthesis of document (not so long for now, but this 256k context length window has potential…). https://t.co/S0xfJ6kjUR https://t.co/n5q6SPqvVv