Poolside AI Code Generation Quiz

Answers and explanations appear as you take the quiz.

1. What is the core training technique Poolside is known for?
   • Reinforcement Learning from Code Execution Feedback (RLCEF)
   • Pure unsupervised pretraining on GitHub only
   • Human reinforcement learning from chat ratings
   • Genetic programming with no neural networks
2. What do Poolside’s Laguna models target?
   • Image segmentation only
   • Agentic software development and code-generation tasks
   • Consumer finance scoring
   • Audio transcription only
3. What does Poolside emphasize for enterprise customers?
   • Free public API access for anyone
   • Only consumer mobile apps
   • Private and on-premise deployment so code stays in-house
   • Selling user data to advertisers
4. What should a reader use to assess Poolside’s reported benchmark scores?
   • A general claim that one model is best
   • Parameter count alone
   • A social-media post without methodology
   • The model/version, benchmark setup, and evaluation source stated with the result
5. Why is code execution feedback so valuable for training a code model?
   • Correctness can be checked automatically, generating scalable reward signals without human labelers
   • It makes the model run faster at inference
   • It eliminates the need for any GPUs
   • It guarantees the model never makes mistakes
6. What context lengths does the Laguna M.1/XS.2 technical report describe for continued pre-training?
   • 2K and 4K tokens only
   • 32K and 128K token sequence lengths
   • 1M and 2M tokens in every released model
   • 30 and 60 seconds of generated code
7. Which framework does Poolside cite for the Laguna M.1/XS.2 agentic benchmark evaluations?
   • GLUE
   • ImageNet
   • The Laude Institute’s Harbor Framework
   • Common Crawl
8. What should an enterprise review before deploying a code model?
   • Only the model name
   • Whether the UI uses a dark theme
   • A benchmark score alone
   • Data handling, access controls, model terms, and evaluation on its own repositories