Small vs. Large AI Models Trade-offs & Use Cases Explained
AI Summary
In the video titled “Small vs. Large AI Models: Trade-offs & Use Cases Explained,” presented by Martin Keen of IBM Technology, viewers are guided through the differences between small AI models like Mistral 7B and large language models (LLMs) with billions of parameters. The discussion focuses on the trade-offs involved, particularly how benchmarks such as MMLU and diverse applications like on-device AI and multilingual translation are driving innovations in AI. The presenter emphasizes the importance of selecting the right model based on specific use cases to ensure smarter and more efficient AI solutions.