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This workshop provides a valuable resource for individuals and companies aiming to optimize their workflows by strategically integrating natural language processing (NLP) capabilities into their data infrastructure. Participants can benefit from real-world applications and understand how to practically integrate OpenAI API to address their industry-specific challenges. Additionally, important subjects such as regulatory considerations and prompt engineering optimization techniques will be touched on to ensure efficient usage of the API. All skills learned are transferable to the usage of Azure OpenAI which provides stricter company and geographical boundaries.

Objectives

  • Automate work processes and/or extract valuable insights from your data through leveraging large language models (LLM) provided by OpenAI
  • Dive into practical applications of the OpenAI API
  • Gaining hands-on experience and learning how to integrate this API into your data-related workflows

Agenda

13:30 – 15:00 Data Assistance
  • Generating insights from proprietary data through analyzing and summarizing structured data.
  • Data wrangling and machine learning application with Openai assistants.
  • Prompt Engineering for output optimization
15:00 – 15:30 Break
15:30 – 17:00 Data Assistance
  • Dealing with large volumes of data with Embeddings.
  • Fine-tuning LLM models.
  • Q&A