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Generative AI Foundations in Python. Discover key techniques and navigate modern challenges in LLMs

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Generative AI Foundations in Python. Discover key techniques and navigate modern challenges in LLMs Carlos Rodriguez, Samira Shaikh - okladka książki

Generative AI Foundations in Python. Discover key techniques and navigate modern challenges in LLMs Carlos Rodriguez, Samira Shaikh - okladka książki

Generative AI Foundations in Python. Discover key techniques and navigate modern challenges in LLMs Carlos Rodriguez, Samira Shaikh - audiobook MP3

Generative AI Foundations in Python. Discover key techniques and navigate modern challenges in LLMs Carlos Rodriguez, Samira Shaikh - audiobook CD

Serie wydawnicze:
Beginners Guide
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
190
Dostępne formaty:
     PDF
     ePub

Ebook (98,10 zł najniższa cena z 30 dni)

119,00 zł (-75%)
29,90 zł

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Do przechowalni

The intricacies and breadth of generative AI (GenAI) and large language models can sometimes eclipse their practical application. It is pivotal to understand the foundational concepts needed to implement generative AI. This guide explains the core concepts behind -of-the-art generative models by combining theory and hands-on application.
Generative AI Foundations in Python begins by laying a foundational understanding, presenting the fundamentals of generative LLMs and their historical evolution, while also setting the stage for deeper exploration. You’ll also understand how to apply generative LLMs in real-world applications. The book cuts through the complexity and offers actionable guidance on deploying and fine-tuning pre-trained language models with Python. Later, you’ll delve into topics such as task-specific fine-tuning, domain adaptation, prompt engineering, quantitative evaluation, and responsible AI, focusing on how to effectively and responsibly use generative LLMs.
By the end of this book, you’ll be well-versed in applying generative AI capabilities to real-world problems, confidently navigating its enormous potential ethically and responsibly.

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O autorze książki

Carlos Rodriguez is the Director of AI Risk for a major financial institution, with an extensive career spanning over 20 years, focused on emerging technologies. Carlos led the development of a first-generation, finance-specific natural language platform and pioneered enterprise machine-learning workflows. He later transitioned to enterprise risk, guiding the AI risk discipline. Carlos holds degrees in data science and machine learning, and is a tireless proponent of responsible and ethical AI.

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