Course description
Explore the latest techniques for running the Llama LLM locally, fine-tuning it, and integrating it within your stack.
Upcoming start dates
1 start date available
Training content
What is the Llama LLM, and how can you use it to enhance your projects? This course will teach you about the architecture of Llama and its applications. It will also provide you with the techniques required to fine-tune and deploy the model for specific tasks, and to optimize its performance.
Understand the Llama Model and Its Applications
You’ll start with an introduction to the foundational concepts of Llama, learning how to interact with Llama models and exploring their general use cases. You'll also gain hands-on experience setting up, running, and performing inference using the llama-cpp-python library.
Learn to Fine-Tune and Deploy Llama Models
You'll explore dataset preprocessing, model fine-tuning with Hugging Face, and advanced optimization techniques for efficient performance. To wrap up the course, you'll implement a RAG system using Llama and LangChain.
Throughout the course, you'll engage with practical examples, including an example of creating a customer service bot, to reinforce your understanding of these concepts.
This is an ideal introduction to Llama for developers and AI practitioners. It explores the foundations of this powerful open-source LLM and how to apply it in real-world scenarios.
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Datacamp
DataCamp offers a comprehensive platform for learning data skills, specializing in training individuals and teams in data science, analytics, and AI. With a focus on interactive, hands-on learning, DataCamp provides courses across key programming languages such as Python, R, SQL,...
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