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<h1 class="title_text">Developing Apps with GPT-4 and ChatGPT</h1>
<h1 class="subtitle_text">Build Intelligent Chatbots, Content Generators, and More</h1>
<p class="there_text">Olivier Caelen & Marie-Alice Blete </p>
<div class="learnmore_bt"><a href="#learn">Learn More</a></div>
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<p class="about_text">This mini-book is a comprehensive guide for Python developers who want to learn
how
to build applications
with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features
and
benefits of GPT-4
and ChatGPT and explain how they work. You'll also get a step-by-step guide for developing
applications using the GPT-4
and ChatGPT Python library, including text generation, Q&A, and content summarization tools.</p>
<p class="about_text">Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT
includes easy-to-follow
examples to help you understand and apply the concepts to your projects. Python code examples are
available in a GitHub
repository, and the book includes a glossary of key terms. Ready to harness the power of large
language models in your
applications? This book is a must.</p>
<p class="about_text">
You'll learn:<br />
- The fundamentals and benefits of ChatGPT and GPT-4 and how they work <br />
- How to integrate these models into Python-based applications for NLP tasks<br />
- How to develop applications using GPT-4 or ChatGPT APIs in Python for text generation,
question-and-answer, and content summarization, among other tasks<br />
- Advanced GPT topics, including prompt engineering, fine-tuning models for specific tasks, plug-ins,
and more
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href="https://learning.oreilly.com/library/view/developing-apps-with/9781098152475/">Get it</a>
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<h4 class="client_name_text">Tom Taulli — author of Generative AI (Apress)<span
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<p class="customer_text">Through practical examples and step-by-step instructions,
the authors set forth the path to cutting-edge app development.
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<p class="customer_text">Blends theory and hands-on practice seamlessly, making
the intricacies of GPT-4 and ChatGPT accessible.
<br/><br/></p>
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<h4 class="client_name_text">Ken Kousen — Java Champion, software trainer, speaker, author<span class="quick_icon"><img
src="images/quick-icon.png"></span></h4>
<p class="customer_text">This book is short, but a better term might be "concise". All the relevant information is there. The explanations are clear, easy to follow, and get to the point quickly. [...] a good, short primer is both necessary and appropriate. Well done.</p>
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<p class="about_text"><b>Olivier Caelen</b> holds two master's degrees (in Statistics and Computer
Science)
and obtained his Ph.D. from the Machine Learning Group of the Université Libre de Bruxelles
under
the supervision of Professor Gianluca Bontempi. During his thesis, he worked on optimal
sequential
selection algorithms in the context of the bandit problem. After his thesis, he spent 8 years at
Worldline (a former Atos company). Five years in the credit card fraud detection team and three
years in the R&D department. His research at Worldline focused on machine learning techniques
for
anomaly and fraud detection. From 2018 to 2021, he was the lead data scientist in Orange
Belgium.
At Orange Belgium, the projects he had to work on were mainly focused on topics related to the
marketing team (e.g. churn detection, up-selling, cross-selling, and prospecting). In 2021, he
was
the Data Science Manager at Levi's Europe, in charge of all supply chain-related projects. Since
2022, he is back in the R&D department of Worldline. </p>
<p class="about_text">Olivier Caelen also teaches, sharing his experience in two courses. A course
on
the basics of machine learning at the Université libre de Bruxelles and another at ECAM on deep
learning techniques.</p>
<p class="about_text">
He is also a co-author of 42 publications in international peer-reviewed scientific
journals/conferences and co-inventor of 6 patents.
</p>
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<p class="about_text"><b>Marie-Alice Blete</b> currently works at Worldline's R&D department as a
software
architect and data engineer. She preaches engineering best practices to her fellow Data
Scientists
colleagues and is particularly interested in the performance and latency issues associated with
the
deployment of AI solutions. She is leading a program on AI-augmented developers.</p>
<p class="about_text">She is also a developer avocate and enjoys sharing her knowledge and
engaging
with the community as a tech speaker. </p>
</div>
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<h1 class="contact_text">FAQ</h1>
<h2>Does this book have an accompanying code repository?</h2>
<p>The code accompanying our book is accessible to the public in <a
href="https://github.com/malywut/gpt_examples">our repository</a>. This
repository is
continuously being updated and reviewed to include additional information that goes beyond what is covered
in the book.</p>
<h2>Where can we view and submit errata for the book?</h2>
<p>You can find the errata of the book available <a
href="https://www.oreilly.com/catalog/errata.csp?isbn=0636920913214">here</a>. We would like to extend
our appreciation to our
attentive readers. We welcome any suggestions for technical or grammatical changes through the provided
platform.
</p>
<h2>What is the animal on the cover? Did you choose it?</h2>
<p>The animal on the cover of Developing Apps in GPT-4 and ChatGPT is a spiny brittle
star (Ophiothrix spiculata), also known as Alexander’s spiny brittle star or banded
brittle star. The illustration is by Karen Montgomery.<br />
We did not choose it, but we were asked to give our opinion.</p>
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