Скачать или смотреть Token Cost Reduction through LLMLingua's Prompt Compression

Token Cost Reduction through LLMLingua's Prompt Compression

🚀 Welcome to the Future of Language Models with LLMLingua!

🔍 What's Inside:
Dive deep into the ground-breaking world of Large Language Models (LLMs) with our latest video on LLMLingua and LongLLMLingua. These revolutionary techniques are transforming how we interact with AI, offering up to 20x faster inference and significant cost savings.

🤖 LLMLingua Explained:
Discover how LLMLingua uses smaller, well-trained language models like GPT2-small or LLaMA-7B for prompt compression. By skilfully identifying and trimming unimportant tokens, LLMLingua enhances the performance of black-box LLMs without sacrificing quality. Get ready to see AI inference in a whole new light!

💡 LongLLMLingua – The Game Changer:
We delve into LongLLMLingua, an advanced method tailored for long-context scenarios. Learn how it boosts LLMs' ability to perceive crucial information while offering an impressive $28.5 in cost savings per 1,000 samples. LongLLMLingua isn't just accelerating AI; it's redefining performance standards.

🔥 Why It Matters:
In a world where speed and efficiency are paramount, LLMLingua and LongLLMLingua are not just tools; they are game-changers. Whether you're a developer, researcher, or AI enthusiast, understanding these techniques is key to unlocking the full potential of LLMs.

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Hit subscribe and ring the bell for more insights into the ever-evolving landscape of AI and machine learning. Join us in exploring the cutting-edge technologies that are shaping our digital world!

💬 Your Thoughts:
What do you think about the impact of prompt compression on LLMs? Share your thoughts and questions in the comment's below.

GitHub: https://github.com/AIAnytime/Prompt-C...
LLMLingua GitHub: https://github.com/microsoft/LLMLingua

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