AI Resources
Practical guides, articles and tools for your AI journey
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We've compiled a collection of resources to help you navigate the complex world of AI implementation. From technical guides to strategic insights, these materials reflect our practical approach to delivering business value through AI.
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Generative AI with LangChain
Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
A practical guide to leveraging LangChain for enterprise GenAI implementation, with real-world examples ranging from customer support to data analysis. The 2024 edition features updated code examples and improved GitHub repository.
Focus areas include:
Machine Learning for Time Series
Forecast, predict, and detect anomalies with state-of-the-art machine learning methods
Use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods. This comprehensive guide covers everything from data preprocessing to advanced models for time-dependent data. The included tutorials range from simple forecasting to complex deep learning architectures for time series analysis.
Focus areas include:
Artificial Intelligence with Python Cookbook
Proven recipes for applying AI algorithms and deep learning techniques
Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow and PyTorch. The practical cookbook approach provides ready-to-use solutions for common AI challenges, from computer vision to natural language processing, with complete code examples and detailed explanations of implementation considerations.