MIPRO: A Novel Optimizer that Outperforms Baselines on Five of Six Diverse Language Model LM Programs Using a Best-in-Class Open-Source Model (Llama-3-8B) by 12.9% accuracy

Optimizing Language Models for Improved NLP Tasks Challenges in Prompt Engineering Designing Language Model (LM) Programs takes a lot of time due to manual prompt engineering, which slows down the process. There are no evaluation metrics for individual LM calls, making optimization difficult. Approaches to LM Program Optimization Different methods like gradient-guided search and evolutionary algorithms have been introduced, but they struggle to address the complexities of multi-stage LM programs. Introducing MIPRO MIPRO is a robust approach to optimize prompts for LM programs. It focuses on maximizing downstream metrics without needing module-level labels or gradients. Architecture of MIPRO MIPRO uses innovative strategies like bootstrapping demonstrations, grounding techniques, and learning to propose to optimize free-form instructions and few-shot demonstrations for each module in the program. Key Insights from MIPRO Optimization Optimizing both instructions and few-shot examples led to the best overall performance across tasks, making multi-stage LM programs more efficient and powerful. Evolve Your Company with AI Discover how MIPRO can transform your work processes, maintain competitiveness, and identify automation opportunities. Implement AI gradually and connect with us for AI KPI management advice. AI for Sales Processes and Customer Engagement Explore how AI can reshape your sales processes and customer engagement. Connect with us for AI solutions and continuous insights into leveraging AI. List of Useful Links: AI Lab in Telegram @itinai – free consultation Twitter – @itinaicom