Building Your Own Large Language Model
(eAudiobook)

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Published
Findaway Voices, 2024.
Physical Description
2h 30m 0s
Format
eAudiobook
Language
English
ISBN
9798882217531

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APA Citation, 7th Edition (style guide)

Et Tu Code., Et Tu Code|AUTHOR., & Helen Green|READER. (2024). Building Your Own Large Language Model . Findaway Voices.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Et Tu Code, Et Tu Code|AUTHOR and Helen Green|READER. 2024. Building Your Own Large Language Model. Findaway Voices.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Et Tu Code, Et Tu Code|AUTHOR and Helen Green|READER. Building Your Own Large Language Model Findaway Voices, 2024.

MLA Citation, 9th Edition (style guide)

Et Tu Code, Et Tu Code|AUTHOR, and Helen Green|READER. Building Your Own Large Language Model Findaway Voices, 2024.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work IDf4110eb0-4ad4-186d-ddde-b371f7bf4f4c-eng
Full titlebuilding your own large language model
Authorcode et tu
Grouping Categorybook
Last Update2024-05-20 19:04:22PM
Last Indexed2024-06-15 05:10:10AM

Book Cover Information

Image Sourcehoopla
First LoadedMay 9, 2024
Last UsedMay 9, 2024

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    [synopsis] => Building Your Own Large Language Model: A Step-by-Step Guide is your comprehensive roadmap to crafting custom language models tailored to diverse applications.
	From laying the groundwork in Language Model Development Fundamentals to navigating through Essential NLP Concepts and Framework Selection, each step is meticulously detailed to ensure mastery. You'll learn the art of Data Collection and Preprocessing, crucial for gathering and refining training data, followed by the craft of Scalable Model Architecture Design. Training and Fine-Tuning Strategies guide you through efficiently honing your model's capabilities, while Performance Evaluation and Validation ensure accuracy. Model Deployment integrates your creation seamlessly into real-world applications like chatbots or language translation tools, while Task-Specific Fine-Tuning customizes it for sentiment analysis or text summarization. Ethical Considerations address biases and ethical concerns, while Performance Optimization techniques enhance efficiency. Through Exploration of Large Language Models, you'll grasp the landscape's nuances, preparing for Application Integration and Scaling with Distributed Training. Continuous Improvement methodologies, coupled with a focus on Interpretability and a glimpse into Future Trends, equip you for ongoing success. Real-world Case Studies provide practical insights, and Community Engagement fosters collaboration.
	Concluding with key takeaways and recommendations, this guide propels you into the dynamic realm of large language model development with confidence and clarity.
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