Tag: Python

Learn advanced techniques for prompt engineering with LangExtract to achieve accurate data extraction.

Learn to avoid common pitfalls in data extraction using LangExtract and Large Language Models.

Learn how to track your machine learning experiments with Trackio, a lightweight local-first library.

Learn how to set up Trackio for your machine learning experiments and log your first experiment.

Learn how to visualize experiments with Trackio's local Gradio dashboard, logging metrics and parameters.

Learn advanced logging techniques with Trackio, including how to log artifacts like models and datasets for reproducible machine learning …

Learn how to organize and manage your machine learning experiments using Trackio's Runs, Projects, and Tags.

Learn how to use Trackio for efficient hyperparameter tuning experiments in machine learning.

Learn systematic troubleshooting and debugging techniques for Trackio, a tool for machine learning and experiment tracking.

Explains the core concepts of prompts, completions, and parameters in Large Language Models.

Learn about robust error handling and exception management in Python using the any-llm library for LLM interactions.

Learn how to guide LLMs towards structured outputs using any-llm, JSON mode, and function calling.