Microsoft Phi Quiz

Answers and explanations appear as you take the quiz.

1. What is the core thesis behind the Phi models, captured in a famous paper title?
   • Textbooks are all you need
   • More GPUs are all you need
   • Bigger context windows are all you need
   • Reinforcement learning is all you need
2. Roughly how many parameters does Phi-3-mini have?
   • About 175 billion
   • About 3.8 billion
   • About 70 billion
   • About 500 million
3. What synthetic-data source did the Phi-1 paper report using for textbooks and exercises?
   • A fixed database of court transcripts
   • Only human-authored textbooks with no synthetic examples
   • GPT-3.5-generated textbooks and exercises
   • The SoundStream audio codec
4. What category of model does 'SLM' refer to, as used for Phi?
   • Sparse Language Model
   • Supervised Learning Module
   • Streaming Latency Model
   • Small Language Model
5. What may a compact Phi checkpoint enable when its hardware and runtime support it?
   • Local deployment can be feasible, with efficiency depending on the checkpoint and environment
   • Guaranteed privacy and zero latency on every phone
   • The same speed and quality on every device
   • Automatic offline use without memory or runtime requirements
6. Which advanced architecture technique appears in some Phi-3.5 variants to boost efficiency?
   • Blockchain consensus
   • Mixture-of-experts (MoE)
   • Genetic algorithms
   • Hand-coded rule engines
7. Which context-length variants does the Phi-3-mini model card describe?
   • Only 512 tokens
   • Exactly 1 million tokens in every Phi model
   • 4K and 128K context variants
   • No context limit
8. What additional input does Phi-3.5-Vision support alongside text?
   • Only raw audio waveforms
   • Only SQL queries with no text
   • Three-dimensional motion capture exclusively
   • Image inputs, including single-image and multi-image prompts