Nano Course: Building Large Language Models for Code

  • IntermediateLevel

  • 2841+Students Enrolled

  • 1 HrDuration

  • 4.7Average Rating

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About this Course

  • Here, you will learn how to train LLMs for Code from Scratch, covering Training Data Curation, Data Preparation, Model Architecture, Training, and Evaluation Frameworks.
  • Explore each step in-depth, delving into the algorithms and techniques used to create StarCoder, a 15B code generation model trained on 80+ programming languages.
  • Understand and learn the best practices to train your own StarCoder on the data.

Learning Outcomes

LLM Training

Master training Large Language Models for code from the ground up.

StarCoder Insight

Gain a deep dive into the StarCoder development process.

Techniques Mastery

Learn techniques used in StarCoder through our Hands-On.

Essential Frameworks

Explore code LLM architecture and evaluation frameworks.

Who Should Enroll

  • Developers interested in training custom code Lsrge Language Modelss from scratch and doing a Hands-On practice.
  • Machine learning engineers and practitioners looking to gain expertise in code generation using large language models.
  • Researchers exploring Large Language Models applications and their usage in software development.

Course Curriculum

Learn the complete process of building Large Language Models for code, covering data curation, model training, fine-tuning, evaluation, and deployment strategies.

tools

  1. 1. Introduction

  2. 2. Agenda of the course

  3. 3. BigCode Community

  4. 4. Training LLMs for Code from Scratch: Training Data Curation

  5. 5. Training Data Formatting and Preprocessing

  6. 6. Model Architecture

  7. 7. BigCode Ecosystem

  8. 8. Training Frameworks

  9. 9. Model Evaluation

  10. 10. Tools and Descendants of StarCoder

Meet the instructor

Our instructor and mentors carry years of experience in data industry

company logo
Loubna Ben Allal

ML Engineer at Hugging Face

Loubna Ben Allal is a Machine Learning Engineer at Hugging Face. She has been working on LLMs for code. She is part of the core team of BigCode that released The Stack dataset, SantaCoder, and StarCoder models.

Get this Course Now

With this course you’ll get

  • 1 Hour

    Duration

  • Loubna Ben Allal

    Instructor

  • Intermediate

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Industry-Recognized Credential
  • Career Advancement Credential
  • Shareable Achievement
certificate

Frequently Asked Questions

Looking for answers to other questions?

Foundational machine learning and deep learning knowledge is essential. Proficiency in Python and software development practices are also crucial.

t's an intermediate-level course, so beginners should establish foundational knowledge beforehand. It requires prior experience with ML and coding.

Yes, you'll learn practical insights and best practices for training similar models. The training pipeline, from data curation through model evaluation, will be thoroughly covered.

The training process encompasses data curation, preprocessing, model architecture, and evaluation. Specific techniques and frameworks used in StarCoder's development are explored in detail.

The core instructional content spans 1 hour, yet additional time for practice and exploration is recommended. Learning is self-paced, allowing you to delve into topics as needed.

Yes, you will receive a certificate of completion after successfully finishing the course and assessments.

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