Decoding Large Language Models: An exhaustive guide to understanding, implementing, and optimizing LLMs for NLP applications
About this ebook
- Gain in-depth insight into LLMs, from architecture through to deployment
- Learn through practical insights into real-world case studies and optimization techniques
- Get a detailed overview of the AI landscape to tackle a wide variety of AI and NLP challenges
- Purchase of the print or Kindle book includes a free PDF eBook
- Explore the architecture and components of contemporary LLMs
- Examine how LLMs reach decisions and navigate their decision-making process
- Implement and oversee LLMs effectively within your organization
- Master dataset preparation and the training process for LLMs
- Hone your skills in fine-tuning LLMs for targeted NLP tasks
- Formulate strategies for the thorough testing and evaluation of LLMs
- Discover the challenges associated with deploying LLMs in production environments
- Develop effective strategies for integrating LLMs into existing systems
If you’re a technical leader working in NLP, an AI researcher, or a software developer interested in building AI-powered applications, this book is for you. To get the most out of this book, you should have a foundational understanding of machine learning principles; proficiency in a programming language such as Python; knowledge of algebra and statistics; and familiarity with natural language processing basics.
About the author
Irena Cronin is the SVP of product for DADOS Technology, which is making an Apple Vision Pro data analytics and visualization app. She is also the CEO of Infinite Retina, which provides research to help companies develop and implement AI, AR, and other new technologies for their businesses. Before this, she worked for several years as an equity research analyst and gained extensive experience in evaluating both public and private companies. Irena has a joint MBA/MA from the University of Southern California and an MS with distinction in management and systems from New York University. She also graduated with a BA from the University of Pennsylvania, majoring in economics (summa cum laude).
