Throughout benchmarks ranking fashions on reasoning and multilingual abilities, equivalent to BigBench, MMLU, and ARC Problem, the MoE-instruct mannequin, though with fewer parameters than rivals (6.6 billion) carried out higher than Llama 3.1-8B-instruct, Gemma 2-9b-It, and Gemini 1.5-Flash. Nevertheless, it couldn’t match the efficiency of OpenAI’s GPT-4o-mini-2024-07-18 (chat).
Nevertheless, the corporate identified that the mannequin continues to be essentially restricted by its measurement for sure duties.
“The mannequin merely doesn’t have the capability to retailer an excessive amount of factual information, subsequently, customers could expertise factual incorrectness,” it mentioned, including that this weak spot might be resolved by augmenting Phi-3.5 with a search engine, significantly when utilizing the mannequin below RAG settings.
