Llama 3 Fundamentals Full Course | Master LLMs, Fine-Tuning, Hugging Face and LoRA

DataCamp · Beginner ·🧠 Large Language Models ·1y ago
Unlock the power of Llama 3, Meta’s open-source large language model (LLM), and learn how to run, fine-tune, and optimize it for real-world applications. Whether you’re a beginner or an experienced AI practitioner, this full-course tutorial covers local deployment, fine-tuning techniques, LoRA, quantization, and Hugging Face integration to help you maximize efficiency. 📌 What You’ll Learn: Running Llama 3 Locally: Set up and use llama-cpp-python to run Llama on your own machine for privacy, security, and cost efficiency. Tuning Responses & Chat Roles: Adjust decoding parameters (temperature,…
Watch on YouTube ↗ (saves to browser)

Chapters (18)

Introduction to Llama 3
0:23 Course Overview and Expert Guidance
0:53 What is Llama 3?
1:33 Benefits of Running Llama Locally
2:06 Installing and Using Llama CPP Python
2:42 Querying Llama 3 for Text Generation
3:15 Understanding Response Structure
3:54 Tuning Llama's Responses
4:28 Adjusting Decoding Parameters
5:04 Temperature, Top-K, and Top-P Explained
6:08 Controlling Response Length with Max Tokens
7:15 Using Chat Rules to Customize Responses
7:45 Implementing System and User Roles
8:54 Structured Conversations with Create Chat Completion
10:17 Refining Prompts for Better Responses
10:50 Zero-Shot and Few-Shot Prompting
12:38 Using Stopwords to Control Output
13:09 Structuring JSON Respons

Playlist

Uploads from DataCamp · DataCamp · 0 of 60

← Previous Next →
1 SQL Server Tutorial: Date manipulation
SQL Server Tutorial: Date manipulation
DataCamp
 2 R Tutorial: Intermediate Interactive Data Visualization with plotly in R
R Tutorial: Intermediate Interactive Data Visualization with plotly in R
DataCamp
 3 R Tutorial: Adding aesthetics to represent a variable
R Tutorial: Adding aesthetics to represent a variable
DataCamp
 4 R Tutorial: Moving Beyond Simple Interactivity
R Tutorial: Moving Beyond Simple Interactivity
DataCamp
 5 Python Tutorial: Why use ML for marketing? Strategies and use cases
Python Tutorial: Why use ML for marketing? Strategies and use cases
DataCamp
 6 Python Tutorial: Preparation for modeling
Python Tutorial: Preparation for modeling
DataCamp
 7 Python Tutorial: Machine Learning modeling steps
Python Tutorial: Machine Learning modeling steps
DataCamp
 8 R Tutorial: The prior model
R Tutorial: The prior model
DataCamp
 9 R Tutorial: Data & the likelihood
R Tutorial: Data & the likelihood
DataCamp
 10 R Tutorial: The posterior model
R Tutorial: The posterior model
DataCamp
 11 R Tutorial: An Introduction to plotly
R Tutorial: An Introduction to plotly
DataCamp
 12 R Tutorial: Plotting a single variable
R Tutorial: Plotting a single variable
DataCamp
 13 R Tutorial: Bivariate graphics
R Tutorial: Bivariate graphics
DataCamp
 14 Python Tutorial: Customer Segmentation in Python
Python Tutorial: Customer Segmentation in Python
DataCamp
 15 Python Tutorial: Time cohorts
Python Tutorial: Time cohorts
DataCamp
 16 Python Tutorial: Calculate cohort metrics
Python Tutorial: Calculate cohort metrics
DataCamp
 17 Python Tutorial: Cohort analysis visualization
Python Tutorial: Cohort analysis visualization
DataCamp
 18 R Tutorial: Building Dashboards with flexdashboard
R Tutorial: Building Dashboards with flexdashboard
DataCamp
 19 R Tutorial: Anatomy of a flexdashboard
R Tutorial: Anatomy of a flexdashboard
DataCamp
 20 R Tutorial: Layout basics
R Tutorial: Layout basics
DataCamp
 21 R Tutorial: Advanced layouts
R Tutorial: Advanced layouts
DataCamp
 22 Python Tutorial: Time Series Analysis in Python
Python Tutorial: Time Series Analysis in Python
DataCamp
 23 Python Tutorial: Correlation of Two Time Series
Python Tutorial: Correlation of Two Time Series
DataCamp
 24 Python Tutorial: Simple Linear Regressions
Python Tutorial: Simple Linear Regressions
DataCamp
 25 Python Tutorial: Autocorrelation
Python Tutorial: Autocorrelation
DataCamp
 26 R Tutorial: The gapminder dataset
R Tutorial: The gapminder dataset
DataCamp
 27 R Tutorial: The filter verb
R Tutorial: The filter verb
DataCamp
 28 R Tutorial: The arrange verb
R Tutorial: The arrange verb
DataCamp
 29 R Tutorial: The mutate verb
R Tutorial: The mutate verb
DataCamp
 30 R Tutorial: What is cluster analysis?
R Tutorial: What is cluster analysis?
DataCamp
 31 R Tutorial: Distance between two observations
R Tutorial: Distance between two observations
DataCamp
 32 R Tutorial: The importance of scale
R Tutorial: The importance of scale
DataCamp
 33 R Tutorial: Measuring distance for categorical data
R Tutorial: Measuring distance for categorical data
DataCamp
 34 Python Tutorial: Plotting multiple graphs
Python Tutorial: Plotting multiple graphs
DataCamp
 35 Python Tutorial: Customizing axes
Python Tutorial: Customizing axes
DataCamp
 36 Python Tutorial: Legends, annotations, & styles
Python Tutorial: Legends, annotations, & styles
DataCamp
 37 Python Tutorial: Introduction to iterators
Python Tutorial: Introduction to iterators
DataCamp
 38 Python Tutorial: Playing with iterators
Python Tutorial: Playing with iterators
DataCamp
 39 Python Tutorial: Using iterators to load large files into memory
Python Tutorial: Using iterators to load large files into memory
DataCamp
 40 SQL Tutorial: Introduction to Relational Databases in SQL
SQL Tutorial: Introduction to Relational Databases in SQL
DataCamp
 41 SQL Tutorial: Tables: At the core of every database
SQL Tutorial: Tables: At the core of every database
DataCamp
 42 SQL Tutorial: Update your database as the structure changes
SQL Tutorial: Update your database as the structure changes
DataCamp
 43 Python Tutorial: Classification-Tree Learning
Python Tutorial: Classification-Tree Learning
DataCamp
 44 Python Tutorial: Decision-Tree for Classification
Python Tutorial: Decision-Tree for Classification
DataCamp
 45 Python Tutorial: Decision-Tree for Regression
Python Tutorial: Decision-Tree for Regression
DataCamp
 46 Python Tutorial: Census Subject Tables
Python Tutorial: Census Subject Tables
DataCamp
 47 Python Tutorial: Census Geography
Python Tutorial: Census Geography
DataCamp
 48 Python Tutorial: Using the Census API
Python Tutorial: Using the Census API
DataCamp
 49 R Tutorial: A/B Testing in R
R Tutorial: A/B Testing in R
DataCamp
 50 R Tutorial: Baseline Conversion Rates
R Tutorial: Baseline Conversion Rates
DataCamp
 51 R Tutorial: Designing an Experiment - Power Analysis
R Tutorial: Designing an Experiment - Power Analysis
DataCamp
 52 R Tutorial: Introduction to qualitative data
R Tutorial: Introduction to qualitative data
DataCamp
 53 R Tutorial: Understanding your qualitative variables
R Tutorial: Understanding your qualitative variables
DataCamp
 54 R Tutorial: Making Better Plots
R Tutorial: Making Better Plots
DataCamp
 55 SQL Tutorial: OLTP and OLAP
SQL Tutorial: OLTP and OLAP
DataCamp
 56 SQL Tutorial: Storing data
SQL Tutorial: Storing data
DataCamp
 57 SQL Tutorial: Database design
SQL Tutorial: Database design
DataCamp
 58 Python Tutorial: Introduction to spaCy
Python Tutorial: Introduction to spaCy
DataCamp
 59 Python Tutorial: Statistical Models
Python Tutorial: Statistical Models
DataCamp
 60 Python Tutorial: Rule-based Matching
Python Tutorial: Rule-based Matching
DataCamp
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Next Up
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)