Explain challenges in training multimodal LLMs

Q: Explain challenges in training multimodal LLMs

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Question

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Answer conceptually (no code). Assume you are training or adapting a multimodal large model (e.g., text + image, or text + audio).

What is the biggest challenge when training multimodal foundation models? Pick 1–2 top challenges and go deep.
Compare a “reasoning-focused LLM” vs a standard instruction/chat LLM :
- What is different in objectives/training data?
- What changes in inference (e.g., tool use, planning, test-time compute)?
- How do you evaluate reasoning quality and reliability?

Be ready to discuss practical trade-offs: data, alignment, evaluation, cost/latency, and safety.

Explain challenges in training multimodal LLMs

Machine Learning discussion

Solution

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