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Monitor and manage LLMs, focusing on performance metrics, guardrails, and real-world optimization.
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6 Lessons
$100.00
Access the full recordings from the 5-day LLM Bootcamp to catch up on missed content or revisit critical discussions. These recordings allow you to review key concepts and techniques at...
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21 Lessons
$10.00
Data enrichment is the process of enhancing, refining, and improving raw data by adding more information to it from external sources. This can include adding additional fields, filling in missing...
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15 Lessons
Free
Data validation is the process of ensuring that data is accurate, complete, and consistent. It involves verifying that data meets certain criteria, such as data type, value range, and formatting...
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26 Lessons
Free
Data cleaning is the process of identifying and correcting or removing errors, inconsistencies, and irrelevant information from a dataset. The goal of data cleaning is to prepare the data for...
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15 Lessons
Free
This module will equip you with the foundational programming knowledge and theory needed to excel in the bootcamp. By covering essential Python concepts and tools, we aim to ensure a...
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60 Lessons
Free
In this module, we will explore the world of large language models (LLMs), including their components, how they process information, and the challenges of adopting them in enterprise settings. We...
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0 Lessons
Free
Data analysis is the process of systematically examining and interpreting data to conclude, identify patterns, and make decisions. Data analysts work with large and complex datasets, and use a variety...
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11 Lessons
Free
Data scraping refers to the process of extracting data from websites or other sources using automated tools or scripts. The scraped data can then be analyzed and used for various...
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7 Lessons
Free