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| File Name: | LLMs with Google Cloud and Python |
| Content Source: | https://www.udemy.com/course/llms-with-google-cloud-and-python/ |
| Genre / Category: | Programming |
| File Size : | 2GB |
| Publisher: | udemy |
| Updated and Published: | November 15, 2023 |
[Google Cloud Endorsed] Learn to use Google Cloud’s latest LLM models in Google Cloud Platform and with Python!
Unlock the Hidden Potential of Large Language Models with this Google Cloud Endorsed Course!
Step into the transformative realm of language models and learn how to harness their expansive potential with Google Cloud and Python. This in-depth Udemy course offers a perfect fusion of theoretical insights and practical skills.
About the Course:
The course kicks off with a solid foundation in Large Language Models, helping students understand their complexity and functioning. As you delve into the main modules, you will become proficient in using the Google Cloud platform, effortlessly navigating the Generative AI Studio, comprehending its pricing, and selecting the best model for your needs. The course also delves into effective methods for Zero, One, and Few Shot Prompting, offering a comprehensive learning journey.
We then explore the nuances of the Vertex AI Python LLM API, shedding light on parameters essential for fine-tuning models to peak performance. You’ll learn about everything from token limits to temperature settings and sophisticated stop sequences in great detail.
A highlight of this course is the practical labs, where students can create various tools, such as an advanced Customer Service Chatbot and a state-of-the-art Translation and Summarization AI Bot. These labs go beyond coding, applying theoretical knowledge to tangible, real-world applications.
The course also ventures into the captivating area of prompt engineering. Students will learn to craft effective prompts for tasks like summarization and extraction. In addition, you’ll explore text embeddings, learning about context injection in prompts and boosting model accuracy with similarity searches!
By the end of the course, students will have the skills to customize their models in the Google Cloud Console, tailoring them to their specific objectives.
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