Introduction to Large Language Models
- Offered byLinkedin Learning
Introduction to Large Language Models at Linkedin Learning Overview
Introduction to Large Language Models
at Linkedin Learning
This ambitious aim goes beyond mimicking human speech patterns and seeks to truly comprehend the meaning, context, and intent behind language
Duration | 2 hours |
Total fee | ₹1,150 |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Go to Website  |
Credential | Certificate |
Introduction to Large Language Models at Linkedin Learning Highlights
Introduction to Large Language Models
at Linkedin Learning
- Earn a certificate of completion
- Showcase on your LinkedIn profile under ?Licenses and Certificate? section
- Download or print out as PDF to share with others
- Share as image online to demonstrate your skill
Read more
Introduction to Large Language Models at Linkedin Learning Course details
Introduction to Large Language Models
at Linkedin Learning
Who should do this course?
- For anyone who wants to enhance their skills
What are the course deliverables?
- Large Language Models (LLM)
More about this course
- Large language models (LLMs) have taken the AI world by storm
- LLMs are behind some of the biggest AI technologies over the last few years, like ChatGPT and GPT-4
- In this course, Jonathan Fernandes provides an overview of LLMs suitable for technical learners and non-technical learners alike
- Jonathan shows you what LLMs are and what you can do with them, and takes a look under the hood so you can understand why they work the way they do and how they can affect your work. He explains how LLMs are trained and details the components of LLMs, and then takes a look at several different applications of LLMs?including Google?s BERT, GPT-3, PaLM and PaLM 2, ChatGPT and GPT-4, and Llama?and shows you how to compare LLMs using benchmarks
Introduction to Large Language Models at Linkedin Learning Curriculum
Introduction to Large Language Models
at Linkedin Learning
Introduction
The impact and functionality of large language models
1. Transformers in NLP
What are large language models?
How are large language models trained? Pre-training
Making large language models follow instructions
2. Large Language Model Components
Transformer architecture
What are parameters
What are tokens?
What are context lengths?
3. Large Language Models
BERT
Scaling laws
GPT-3
Chinchilla
PaLM and PaLM 2
ChatGPT and GPT-4
Open LLMs
Comparing large language models
Conclusion
Going further with large language models
Introduction to Large Language Models at Linkedin Learning Faculty details
Introduction to Large Language Models
at Linkedin Learning
Jonathan Fernandes
I'm TheGenerativeAIGuru because GenerativeAIGuru.com was taken! On a more serious note, unlike most "Generative AI Experts", I've been working in this field long before ChatGPT. I help organisations identify relevant Generative AI use cases and help implement them. You can expect me to be completely honest and transparent with you. A guru is someone who has a level of mastery and teaches, so if you're interested in Generative AI I am happy to share with you only things that I have experience with or actually tried out. I've already taught hundreds of thousands of people about Generative AI. If you and your team need my help, get in touch. I'm not looking to do any consulting work or talks for free.
Introduction to Large Language Models at Linkedin Learning Entry Requirements
Introduction to Large Language Models
at Linkedin Learning
Eligibility criteria
- Education: Graduate
Conditional Offer
- Not mentioned
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