Laura Funderburk

Developer Advocate @ Ploomber

About Laura Funderburk

Laura Funderburk is a blog author who writes extensively on machine learning, artificial intelligence, and web application development.

Blog Author Laura Funderburk

Laura Funderburk is a prolific blog author focusing on topics related to machine learning, artificial intelligence, and web application development. She has written extensively on these subjects, offering insights and guides that cater to both technical and non-technical audiences.

Machine Learning and Artificial Intelligence Blogs by Laura Funderburk

Laura Funderburk has authored numerous blog posts about machine learning and artificial intelligence. Her works include 'Enabling observability of your LLM-based applications with Weights and Biases through tracing' and 'A systematic overview of prompt engineering through programming,' both published in February 2024. She delves into complex topics with clarity, making advanced AI concepts more accessible to readers.

Exploring User Authentication and Web App Development with Laura Funderburk

Laura Funderburk's blog posts cover various aspects of web application development. Noteworthy entries include 'Adding user authentication to a Streamlit app' and 'Build and deploy an AI-powered API to process order information,' both from early 2024. These posts provide step-by-step guidance, helping developers implement and enhance user authentication features in their applications.

Detailed Guides on Prompt Engineering

Laura Funderburk has explored the field of prompt engineering in depth. Her post 'A systematic overview of prompt engineering through programming' provides a comprehensive look at the techniques and best practices essential for developing effective prompts for language models. This article, published in February 2024, serves as a valuable resource for developers looking to refine their approach to working with AI-driven prompts.

Laura Funderburk on AI and Myers-Briggs Personality Types

In her blog post 'Can an LLM deduce your Myers-Briggs personality type from your answers to questions?' published in January 2024, Laura Funderburk investigates the capabilities of language models to infer personality types based on user input. This article merges psychological concepts with advanced AI methodologies, demonstrating her interdisciplinary approach to artificial intelligence.

Full Stack RAG App Development by Laura Funderburk

Laura Funderburk's post 'Build a full stack RAG app from videos,' published in January 2024, guides developers through the process of creating a comprehensive RAG (Retrieve, Answer, and Generate) application. This detailed tutorial emphasizes her ability to break down complex development tasks into manageable steps, making it easier for readers to follow along and implement similar projects.

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