easyMultiple Choice
Generative AI Leader Practice Question: Which Google Cloud generative AI model is…
Which Google Cloud generative AI model is specifically designed for code generation tasks?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Codey
Codey is Google's model fine-tuned for code generation, completion, and chat. PaLM 2 is a general purpose LLM, Gemini is multimodal, and Imagen is for image generation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
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Gemini
Why it's wrong here
Gemini is a multimodal foundation model family for general reasoning, text and image tasks, not one specifically engineered for code generation. It is tempting because Gemini models can write code competently. Codey, Google Cloud's model tuned on code, is the one purpose-built for code generation and completion.
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PaLM 2
Why it's wrong here
PaLM 2 is a general-purpose language model for text, reasoning and multilingual tasks, not one specifically designed for code generation. It is tempting because it underpins many Google Cloud AI services and can produce code. Codey is the model purpose-built and fine-tuned for code generation.
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Imagen
Why it's wrong here
Imagen generates and edits images from text prompts; it produces no code. It is tempting because it is a prominent Google Cloud generative AI model, but its modality is visual. Codey, trained on source code, is the model designed specifically for code generation tasks.
- ✓
Codey
Why this is correct
Codey is Google Cloud's model family fine-tuned specifically for code generation, completion and chat about code, so it directly matches the stem's requirement for a code-focused generative AI model rather than a general-purpose text model.
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