web automation

Microsoft Research AI Frontiers has released Fara1.5-27B, a 27-billion-parameter multimodal agent that completes web tasks by reading screenshots and emitting click/type/scroll commands. The model, fine-tuned from Qwen3.5-27B, ships under MIT license with a 262K-token context window and is designed to run alongside Microsoft's MagenticLite sandbox.

Microsoft Research has released Fara-7B, a 7-billion parameter small language model designed for computer automation tasks. The model, which took 2.5 days to train on 64 H100 GPUs, can navigate websites to complete tasks like booking restaurants and shopping, using screenshots as input with a 128K token context window.