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Prompt Engineering Guide is a GitHub repository or organization with source code, releases, documentation, or project resources.

From-scratch Go port of tinygrad: a graph-rewrite ML compiler with reverse-mode autodiff and a WebGPU backend.

Agentic Engineering Jobs supports AI agents, automated workflows, orchestration, or delegated tasks.

Learn when prompt engineering is the right solution, and find Claude prompting techniques and interactive tutorials.

Data Engineering Podcast applies AI to data analysis, extraction, visualization, or business intelligence.

DSPy: Not Your Average Prompt Engineering supports software development with code generation, analysis, debugging, or documentation.

Machine Learning – Software Engineering Daily provides machine-learning models, research, training resources, or evaluation tools.

Master's Degree in Data Science and Computer Engineering @ University of Granada applies AI to data analysis, extraction, visualization, or business…

Prompt Engineering Guide catalogs AI services and resources for browsing by feature or use case.

Step by step guide to learning Prompt Engineering in 2026.

Prompt Engineering: From Words to Art - Saxifrage Blog creates or edits images with generative AI and text-based controls.

The Data Engineering Show applies AI to data analysis, extraction, visualization, or business intelligence.

"Tips and tricks for working with Large Language Models like OpenAI's GPT-4".

Prepare for software engineering interviews with 150+ system design and 30+ behavioral questions at bugfree.ai. Get AI-powered feedback!

Library of ML-Engineering tools for rapid prototyping and experiment management.

A CLIP primer with 3500+ prompt output examples.

. Practical AI engineering and generative AI explained simply: RAG, agents, and LLM application patterns for builders.

Machine learning development environment for data science and AI/ML engineering teams.

Feature engineering package with SKlearn like functionality.

Python library for automated feature engineering.

Current flagship model for agentic engineering and stronger coding workflows.

Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.

LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.

A generic approach that allows to mimic most factorization models by feature engineering.