YOLO VISION 2023 | PatentPT: Building an LLM-Powered Solution with Enterprise-Grade Memory Agents
Join us for an exciting deep dive into the world of PatentPT, an advanced language model revolutionizing patent search capabilities. In this video, Davit Buniatyan unveils the innovative journey behind creating this LLM-powered solution using enterprise-grade memory agents. Learn how PatentPT enhances patent autocompletion, abstract and claim generation, and advanced search functions within a rich patent corpus.
Discover the cutting-edge tools and technologies used, including Activeloop’s Deep Lake, open-source LLM models, Habana Gaudi HPU hardware, and Amazon SageMaker’s LLM inference APIs. Davit walks us through the architectural blueprints and the comprehensive steps taken to build this remarkable solution, from model training and fine-tuning to crafting custom features and deploying search APIs.
Whether you're an AI practitioner seeking practical guidance on LLM fine-tuning, a legal professional keen on leveraging AI for patent search, or simply intrigued by the future of AI solutions, this talk offers valuable insights into the process and potential of employing LLMs in specialized fields. Learn how to streamline your AI data stack with a unified data storage layer provided by ActiveLoop, and see a demo of PatentPT in action using the USPTO dataset.
🌟 Key Highlights:
Building an LLM-powered solution with enterprise-grade memory agents
Utilizing cutting-edge tools like Deep Lake and Amazon SageMaker
Practical guidelines on fine-tuning and deploying large language models
Enterprise memory agents for efficient patent search and generation
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