The Next Big Thing in AI: MoE-Instruct Model Surpasses Competitors
When it comes to benchmarks for rating models on reasoning and multilingual skills, the MoE-instruct model is leading the pack. Despite having fewer parameters than its rivals (6.6 billion), the MoE-instruct model outperformed competitors like Llama 3.1-8B-instruct, Gemma 2-9b-It, and Gemini 1.5-Flash on benchmarks such as BigBench, MMLU, and ARC Challenge. However, it couldn’t quite match the performance of OpenAI’s GPT-4o-mini-2024-07-18 in chat-related tasks.
While the MoE-instruct model has shown impressive performance, the company behind it acknowledged that the model is still limited by its size for certain tasks.
According to the company, “The model simply does not have the capacity to store too much factual knowledge, therefore, users may experience factual incorrectness.” The company suggested that this limitation can be overcome by augmenting the MoE-instruct model with a search engine, especially when using the model under RAG settings.
With its groundbreaking performance and potential for improvement, the MoE-instruct model is definitely one to watch in the world of AI. Keep an eye on this innovative technology as it continues to push the boundaries of what AI can achieve.