LLaMa for Developers

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Denys Linkov

1:35:23

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01 - Introduction

01 - Developing AI models using LLaMA.mp4

00:33

02 - 1. Introduction to LLaMA

01 - Using LLaMA online.mp4

01:16

02 - Running LLaMA in a notebook.mp4

05:21

03 - Accessing LLaMA in an enterprise environment.mp4

01:50

03 - 2. LLaMA Architecture

01 - The LLaMA architecture.mp4

02:56

02 - The LLaMA tokenizer.mp4

03:35

03 - The LLaMA context window.mp4

02:40

04 - Differences between LLaMA 1 and 2.mp4

02:20

04 - 3. Fine-Tuning LLaMA

01 - Fine-tuning LLaMA with a few examples.mp4

04:35

02 - Fine-tuning LLaMA and freezing layers.mp4

07:24

03 - Fine-tuning with LLaMA using LoRa.mp4

06:06

04 - Reinforcement learning with RLHF and DPO.mp4

05:49

05 - Fine-tuning larger LLaMA models.mp4

02:35

05 - 4. Serving LLaMA

01 - Resources required to serve LLaMA.mp4

04:35

02 - Quantizing LLaMA.mp4

04:07

03 - Using TGI for serving LLaMA.mp4

02:40

04 - Using VLLM for serving LLaMA.mp4

05:27

05 - Using DeepSpeed for serving LLaMA.mp4

04:13

06 - Explaining LoRA and SLoRA.mp4

01:59

07 - Using a vendor for serving LLaMA.mp4

03:16

06 - 5. Prompting LLaMA

01 - Difference between LLaMA with commercial LLMs.mp4

04:08

02 - Few shot learning with LLaMA.mp4

05:07

03 - Chain of thought with LLaMA.mp4

03:16

04 - Using schemas with LLaMA.mp4

03:01

05 - Optimizing LLaMA prompts with DSPy.mp4

04:39

06 - Challenge Generating product tags.mp4

00:25

07 - Solution Generating product tags.mp4

01:00

07 - Conclusion

01 - Continue your LlaMA AI model development journey.mp4

00:30

Description

In this course, learn how to customize open-source AI models with one of the most common open-source models, LLaMa (Large Language Model Meta AI). Instructor Denys Linkov shares a hands-on approach to working with LLaMa, explaining LLaMa architecture, prompting, deploying, and training models. He uses a series of Python notebooks to show you how to adapt LLaMa to your use cases and employ it in an enterprise or startup environment.

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Artificial Intelligence

Denys Linkov

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Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.