Showing results for "ben auffarth"
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Retrieval Augmented Generation, The Foundational Ideas
Principles for architecting reliable and verifiable AI
2026
EN
Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.Retrieval Augmented Generation (RAG) is a standard process for grounding LLM prompts in user-specified content rather than relying only on a model’s training data. RAG has grown from a simple prompt engineering workflow into a sophisticated set of data analysis, storage, a...
Available Oct 27, 2026
Machine Learning for Time Series with Python
Use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods
2026
EN
Get better insights from time-series data and become proficient in building models with real-world data Key FeaturesExplore time series forecasting and time series analysis in Python using ARIMA, SARIMA, GARCH, gradient boosting, and recurrent neural networks.Improve predictive modeling with feature engineering and forecasting machine learning techniques.Apply demand forecasting and financial forecasting methods through practical case studies a...
Available Dec 11, 2026
Generative AI with LangChain
Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph
2025
EN
Go beyond foundational LangChain documentation with detailed coverage of LangGraph interfaces, design patterns for building AI agents, and scalable architectures used in production—ideal for Python developers building GenAI applicationsKey FeaturesBridge the gap between prototype and production with robust LangGraph agent architecturesApply enterprise-grade practices for testing, observability, and monitoringBuild specialized agents for softwar...
Artificial Intelligence with Python Cookbook
Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6
2020
EN
Work through practical recipes to learn how to solve complex machine learning and deep learning problems using PythonKey FeaturesGet up and running with artificial intelligence in no time using hands-on problem-solving recipesExplore popular Python libraries and tools to build AI solutions for images, text, sounds, and imagesImplement NLP, reinforcement learning, deep learning, GANs, Monte-Carlo tree search, and much moreBook Desc...
Generative AI with LangChain
Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
2023
EN
2024 Edition – Get to grips with the LangChain framework to develop production-ready applications, including agents and personal assistants. The 2024 edition features updated code examples and an improved GitHub repository. Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey FeaturesLearn how to leverage LangChain to work around LLMs’ inherent weaknessesDelve into LLMs with LangChain and explore their fundamentals, ethical dimensions...
Machine Learning for Time-Series with Python
Forecast, predict, and detect anomalies with state-of-the-art machine learning methods
2021
EN
Get better insights from time-series data and become proficient in model performance analysisKey FeaturesExplore popular and modern machine learning methods including the latest online and deep learning algorithmsLearn to increase the accuracy of your predictions by matching the right model with the right problemMaster time series via real-world case studies on operations management, digital marketing, finance, and healthcareBook ...