![Generative AI: Working with Large Language Models [Updated: 3/17/2025]](https://pixhost.icu/avaxhome/a1/a1f3/a1f39614ebfc41f7bb09209d625f4b35-5785482857064319432_medium.webp)
Generative AI: Working with Large Language Models [Updated: 3/17/2025]
![Generative AI: Working with Large Language Models [Updated: 3/17/2025]](https://pixhost.icu/avaxhome/a1/a1f3/a1f39614ebfc41f7bb09209d625f4b35-5785482857064319432.webp)
Generative AI: Working with Large Language Models [Updated: 3/17/2025]
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 15m | 146 MB
Instructor: Jonathan Fernandes
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 15m | 146 MB
Instructor: Jonathan Fernandes
Transformers have quickly become the go-to architecture for natural language processing (NLP). As a result, knowing how to use them is now a business-critical skill in your AI toolbox. In this course, instructor Jonathan Fernandes walks you through many of the key large language models (LLMs) developed since OpenAI first released GPT-3, as well as the key contributions of each of these LLMs.
Learning objectives
- Identify the release dates of large language models.
- Interpret actions needed to successfully run large language models.
- Differentiate several types of large language models.
- Assess the capabilities of several large language models.
- Discover key contributions of large language models.
- Determine the role that scaling laws have in each large language model.
![Generative AI: Working with Large Language Models [Updated: 3/17/2025]](https://pixhost.icu/avaxhome/a1/a1f3/a1f39614ebfc41f7bb09209d625f4b35-13323918308285237732_medium.webp)
Generative AI: Working with Large Language Models [Updated: 3/17/2025]
![Generative AI: Working with Large Language Models [Updated: 3/17/2025]](https://pixhost.icu/avaxhome/a1/a1f3/a1f39614ebfc41f7bb09209d625f4b35-13323918308285237732.webp)