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In this talk, we will explore how community projects are being used to enhance large language models (LLMs), such as the LLama Index, to overcome token limitations. We will discuss the development of LangChain, a community-driven ecosystem aimed at expanding LLM capabilities by providing tools like AutoGPT. By leveraging the power of community collaboration, we can overcome some of the challenges of working with LLMs, and unlock new possibilities for natural language processing. Attendees will gain a deeper understanding of the role that open source projects can play in expanding the capabilities of LLMs, and how they can contribute to these efforts.
Antonio Velasco Fernández is a Data Scientist at Elastacloud who specializes in NLP and has created and deployed innovative solutions for various industry challenges. He has over 4 years of experience in the field and is always eager to learn and share his insights. If this bio sounds... Read More →
Pablo Cabeza is a Data Engineer at Elastacloud, experienced in Azure data platforms and building data-driven solutions. He advocates for pushing boundaries and has delivered successful data platforms for various sectors over the last 5 years. Recently, with the advances in Large Language... Read More →
