Building Your Own Private GenAI Chatbot With Java Tools – A Step-by-Step Adventure
In today's software development world, several machine learning (ML) tools empower developers to craft private chatbots that cater to various needs. These chatbots harness the capabilities of large language models (LLMs) trained on confidential document sets on your local machine or enterprise data repositories. They enable you to engage with these document sets, from summarizing emails and meeting notes to gauging sentiment, extracting dates and names from websites, pre-screening resumes, and performing many other tasks.
But most of these systems are Python-based. While Python is a formidable stream-of-consciousness programming language for ML, many software developers operate within the Java ecosystem, especially within large organizations prioritizing Java for robust and reliable production deployments. This presentation focuses on Java-centric tools to construct tuned assistant systems.
Speaker: Frank Greco, Chairman at NYJavaSIG
Frank Greco is a Java Champion and enterprise architect primarily focused on artificial intelligence, machine learning, cloud, and mobile/edge computing. He is an educator, technology manager, frequent writer, and author, and he has made visible achievements in strategic technology/business partnerships, enterprise infrastructure, and emerging technologies, particularly for financial systems and large enterprises.
He is currently a senior technology consultant for a huge search company.
Frank is the co-author of JSR # 318, the Visual Recognition Machine Learning API for Java. He is a frequent global speaker at major technology trade shows such as QCon, DevNexus, Jfokus, Devoxx, Technology Transfer International, JavaOne, etc.
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