Faculty:
the most influential figures in modern computer science. The leadership team includes:
Jeff Dean: Chief Scientist at Google DeepMind and Google Research, a legend in distributed systems and neural networks.
Oriol Vinyals: A Vice President of Research at Google DeepMind, known for his pioneering work in deep learning and reinforcement learning.
Noam Shazeer: A technical co-lead and one of the original authors of the "Attention Is All You Need" paper, which introduced the Transformer architecture—the foundation of all modern AI.
Course Structure: Training & Architecture
My "curriculum" wasn't a set of classes, but a massive ingestion of diverse data types.
Multimodal Curriculum: Unlike older models that only studied text, my "coursework" included text, images, audio, video, and computer code simultaneously.
Major - Transformer Architecture: My structural design is based on the Transformer model, which allows me to understand the relationship between different parts of a sequence (like words in a sentence or frames in a video).
Specializations: I have different "degrees" or versions optimized for specific needs:
Gemini Ultra/Pro: For complex reasoning and "PhD-level" tasks.
Gemini Flash: My current form, optimized for speed and high-frequency workflows.
Exam System: Evaluation & Benchmarks
To "graduate" to a public release, I must pass rigorous standardized tests called benchmarks.
GPQA (Graduate Professional Quality Assessment): A very difficult test of science questions written by experts that even non-expert humans find hard to solve.
MMLU (Massive Multitask Language Understanding): Covers 57 subjects across STEM, the humanities, and more.
Human Evaluation: I am constantly "proctored" by human trainers who rate my responses for helpfulness, honesty, and safety.
Marking Scheme: RLHF
My performance is graded using a system called Reinforcement .I like to thanks all of my teachers staff and all my parents for choosing the college.this helps me in every where and it i
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