Prompt Engineering Examples and Techniques

Learn about prompt engineering examples and techniques for designing clear AI requests. Get the best LLM outputs with our list of practical tips and strategies.
Walter Budzian
Jul 11, 2024

Understanding LangChain Runnables

Learn about LangChain runnables, how they work, and when best to use them. We also contrast runnables with Mirascope's pythonic chaining techniques.
Walter Budzian
Jul 10, 2024

Prompt Chaining in AI Development

Prompt chaining is a way to simplify large, complex prompts by breaking them down into smaller prompts, each making their own separate LLM call.
Walter Budzian
Jun 5, 2024

8 Prompt Engineering Best Practices and Techniques

Following prompt engineering best practices helps you elicit accurate and reliable responses from the LLM. Here are 8 best practices with examples.
Walter Budzian
May 31, 2024

Mirascope and Langfuse Integration

Mirascope now integrates with Langfuse. Class methods, calls and extractors can now easily be sent to Langfuse.
Brian Park
May 16, 2024

LlamaIndex vs LangChain vs Mirascope: An In-Depth Comparison

Explore our comprehensive guide on LlamaIndex vs LangChain. We also introduce Mirascope's modular toolkit for LLM application development.
Walter Budzian
May 15, 2024