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

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

Documentation for OpenAI Guide, covering setup, features, and practical usage.

A guide to MLOps provides AI-assisted learning, courses, tutorials, or study support.

A simple guide to fine-tuning Llama 2 Brev docs provides machine-learning models, research, training resources, or evaluation tools.

A Traveler's Guide to the Latent Space creates or edits images with generative AI and text-based controls.

Documentation for Fine Tuning Guide, covering setup, features, and practical usage.

Guidelines for Human-AI Interaction - Microsoft Research supports AI-assisted research, knowledge retrieval, summarization, or source analysis.

Documentation for LLM Evaluation Clarifai Guide, covering setup, features, and practical usage.

Download this free LLM Testing Guide.

MLOps Guide supports deploying, serving, monitoring, or operating AI and machine-learning systems.

The Guide to LLM Evaluation Deci provides machine-learning models, research, training resources, or evaluation tools.

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.

. 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.

An autonomous agent designed to navigate the complexities of software engineering. opensource.

Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend.