Fara-7B: An Efficient Agentic Model for Computer Use
Fara-7B is our first agentic small language model for computer use. This experimental model includes robust safety measures to aid responsible deployment. Despite its size, Fara-7B holds its own against larger, more resource-intensive agentic systems.
Agents for Productivity
Agents for Productivity (A4P) is a M365 Research initiative to enable Microsoft to deliver reliable, highly capable, and scalable agentic solutions that drive measurable productivity impact. The strategy addresses two core challenges: technological gaps (tool…
The Illusion of Inclusion How LLMs Misrepresent African Languages and Cultural Contexts
Multilingual LLMs have become so powerful, yet African languages remain misrepresented. Despite the progress in African NLP, driven by community-led initiatives, LLMs continue to misrepresent African languages and the meanings they convey. In this talk,…