Iterative evaluation and experimentation workflow python

Iterative evaluation and experimentation workflow typescript

Creating a custom llm evaluator with a benchmark dataset

Aligning llm evals with human annotations typescript

Prompt optimization

Analyzing customer review evals with repetition experiments

Agentic rag tracing

Generating synthetic datasets for llm evaluators and agents

Structured data extraction

Product recommendation agent google agent engine and langgraph

Using human annotations for eval driven development

Aligning llm evals with human annotations typescript

Creating a custom llm evaluator with a benchmark dataset

Optimizing coding agent prompts prompt learning

Prompt learning optimizing prompts for classification

Few shot prompting

React prompting

Chain of thought prompting

Prompt optimization

Llm as a judge prompt optimization

Openai agents sdk cookbook

Evaluate an agent

Evaluate rag

Code readability evaluation

Relevance classification evaluation

Using ragas to evaluate a math problem solving agent

Analyzing customer review evals with repetition experiments

Experiment with a customer support agent

Model comparison for an email text extraction service

Comparing llamaindex query engines with a pairwise evaluator

Embeddings analysis