Exploring the Hugging Face Platform

11 steps

In this quest, you will be introduced to the fundamental concepts and significance of Large Language Models (LLMs). You will learn about their capabilities, key terminology, and various applications in natural language processing. This foundational knowledge will set the stage for more advanced topics and practical implementations in subsequent quests.

For technical help on the StackUp platform & quest-related questions, join our Discord, head to the quest-helpdesk channel and look for the correct thread to ask your question.

Join us on Discord

Learning Outcomes

By the end of this quest, you will be able to:

Gain a clear understanding of what LLMs are and why they are important in the field of natural language processing.
Learn about different applications of LLMs in various industries, including chatbots, text generation, and sentiment analysis.
Understand essential concepts and terminology related to LLMs, such as tokens, embeddings, and transformers.

Tutorial Steps

Total steps: 11

Step 1: Introduction to LLMs
Step 2: Use Cases of Large Language Models
Step 3: Key Terminology and Concepts
Step 4: Setting Up Google Colab
Step 5: Setting Up the Runtime Environment to Use the T4 GPU
Step 6: Adding a Code Block
Step 7: Adding a Markdown Cell
Step 8: Obtaining a Hugging Face Access Token
Step 9: Using the Access Token
Step 10: Testing the Setup
Step 11: Conclusion

Need help?

Find articles to support you through your journey or chat with our support team.

Help Center

Top