Orca 2 vs GPT-4: The Smaller, Smarter LLM is Redefining Reasoning and Strategy

I’ve been digging into Orca 2, and all I can say is smaller models are on fire, they can now perform just as well as big LLMs.

Microsoft recently released Orca 2, and it isn’t just another incremental update; it’s a significant leap forward in smaller LLM technology.

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Before we get hands-on with Orca 2, here are a few key points you’ll really want to pay attention:

• Beyond Imitation Learning: You know how smaller language models often just mimic their bigger counterparts? Orca 2 breaks away from that. Instead of merely replicating the output of more capable models, Orca 2 is designed to teach smaller models a range of solution strategies — like step-by-step processing, recall-then-generate, and direct-answer methods. This approach lets smaller models find their own paths to solving problems, which can be quite different from the strategies used by larger models.
• Choosing the Right Strategy: It doesn’t just offer a toolbox of strategies; it also helps models determine the most effective strategy for each specific task. This kind of strategic flexibility is crucial for optimizing performance, irrespective of the model’s size.

Here are some performance highlights:

• Outperforming Its Peers: In head-to-head comparisons, Orca 2 significantly outperforms models of similar…