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Details

Here's a snapshot of what you can expect from this Event:

• Exploring innovative use cases and products driven by LLMs
• Understanding data engineering and NLP pipelines optimized for LLMs
• Learning about LLMOps (DevOps for LLMs) and how to scale LLMs in a production environment
• Discussing ways to address LLM limitations and establishing guidelines for responsible AI
• Delving into ethical considerations, privacy, and security in LLM applications
• Reviewing tools, platforms, and techniques for LLM implementation
• Unpacking the process of fine-tuning, prompt engineering, and knowledge distillation for LLMs
• Discussing API pricing and cost-effective strategies for LLM deployment
• Identifying emerging trends and research directions in the LLM landscape

Join us to learn, share, and network in this revolutionary field! See you soon!

AI and Society
Artificial Intelligence
Artificial Intelligence Applications
Machine Learning
Data Analytics

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