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50 ML Projects To Understand LLMs. Investigate transformer mechanisms through data analysis, visualization, and experimentation Mike X Cohen

(ebook) (audiobook) (audiobook) Język publikacji: angielski
50 ML Projects To Understand LLMs. Investigate transformer mechanisms through data analysis, visualization, and experimentation Mike X Cohen - okladka książki

50 ML Projects To Understand LLMs. Investigate transformer mechanisms through data analysis, visualization, and experimentation Mike X Cohen - okladka książki

50 ML Projects To Understand LLMs. Investigate transformer mechanisms through data analysis, visualization, and experimentation Mike X Cohen - audiobook MP3

50 ML Projects To Understand LLMs. Investigate transformer mechanisms through data analysis, visualization, and experimentation Mike X Cohen - audiobook CD

Autor:
Mike X Cohen
Ocena:
Through 50 hands-on, guided projects solved in Python, you will investigate the internal mechanisms of large language models by treating their hidden states, attention patterns, and embeddings as data to analyze. Rather than accepting LLMs as black boxes, you will open them up, examine what's inside, and run experiments to understand why they behave the way they do. All projects are based on Python (using libraries such as NumPy, PyTorch, statsmodels, scikit-learn, Matplotlib, Pandas, and Seaborn) and come with full solutions and partial solution notebook files, so you can practice and improve your skills in data science, deep learning, data visualization, and scientific and statistical coding.

O autorze książki

Mike X Cohen is an associate professor at the Radboud University Medical Center and the leader of the Synchronization in the Neural Systems research group. His research focuses on using state-of-the-art neuroscience methods to understand the mechanisms and implications of brain circuit dynamics and has been funded by government agencies in the US, Germany, Netherlands, and Europe, and by private institutions and medical centers.



Mike has been teaching time series analysis, applied mathematics, and scientific programming for almost 20 years. He has published several textbooks on these topics and teaches a variety of real-life and online courses.

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