The Art Of Decoding Data Science.

Amazon outperforms GPT-3.5 by 16%! . . Amazon's model, trained with 1 billion parameters, has surpassed the previous state-of-the-art LLM (#GPT-3.5) by 16%, achieving a remarkable accuracy rate of 91.68% compared to the GPT's rate of 75.17%. This impressive feat was achieved by generating intermediate reasoning steps for prompting demonstrations, also known as chain-of-thought (#CoT) prompting. Amazon's approach integrates both language (text) and vision (images) modalities through a two-stage architecture that distinguishes between generating rationales and inferring answers. This way, the answer inference process can benefit from more robust rationales generated from multimodal information (GPT-3.5). To put it simply, the model is enhanced with an additional layer that enables it to produce more insightful rationales and answers based on a broader range of knowledge. The study, code, and datasets are publicly available: 1. Study: https://lnkd.in/g2Xn4462      2. Code: https://lnkd.in/gJ7BxVJJ 3. Datasets: https://lnkd.in/gdp6NF9k