Researchers from the University of Washington and Allen Institute for AI Present Proxy-Tuning: An Efficient Alternative to Finetuning Large Language Models

Researchers from the University of Washington and Allen Institute for AI Present Proxy-Tuning: An Efficient Alternative to Finetuning Large Language Models AI News, AI, AI tools, Innovation, itinai.com, LLM, MarkTechPost, Mohammad Asjad, t.me/itinai ```html 🚀 The Power of Proxy-Tuning for Large Language Models 🚀 The capabilities of pretrained large language models are impressive, but achieving specific behaviors often requires additional adaptation. This becomes even more challenging when dealing with models whose weights are kept private, making tuning costly or impossible. Striking the right balance between customization and resource efficiency is crucial in optimizing the performance of these advanced language models. 🔍 The Solution: Proxy-Tuning 🔍 Researchers from the University of Washington and Allen Institute for AI present proxy-tuning, an algorithm designed to fine-tune large black-box language models without accessing their internal weights. This method leverages a smaller tuned LM and computes the difference between its predictions and the untuned version to adjust the original predictions of the larger base model, effectively achieving the benefits of direct tuning without altering the base model’s parameters. 📈 Practical Applications 📈 Proxy-tuning emerges as a promising approach for fine-tuning large language models at decoding time by modifying output logits. It makes large language models more accessible, especially for those with limited resources, and addresses the challenge of adapting proprietary models to diverse use cases. 🌐 Evolve Your Company with AI 🌐 If you want to evolve your company with AI, stay competitive, and use AI to your advantage, consider the efficient alternative of proxy-tuning presented by the researchers from the University of Washington and Allen Institute for AI. 🤖 AI Solutions for Middle Managers 🤖 Discover how AI can redefine your way of work: - Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI. - Define KPIs: Ensure your AI endeavors have measurable impacts on business outcomes. - Select an AI Solution: Choose tools that align with your needs and provide customization. - Implement Gradually: Start with a pilot, gather data, and expand AI usage judiciously. 🚀 Practical AI Solution: AI Sales Bot 🚀 Consider the AI Sales Bot from itinai.com/aisalesbot designed to automate customer engagement 24/7 and manage interactions across all customer journey stages. 🔗 List of Useful Links 🔗 - AI Lab in Telegram @aiscrumbot – free consultation - Researchers from the University of Washington and Allen Institute for AI Present Proxy-Tuning: An Efficient Alternative to Finetuning Large Language Models - MarkTechPost - Twitter – @itinaicom ```