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10-Hour LLM Fundamentals

10h 30m 55s
English
Paid

Unlock the potential of large language models with our intensive course, "LLM Basics in 10 Hours". This comprehensive program is designed to help you understand and effectively use LLMs in real-world projects, enhancing your skills in AI-driven environments.

Course Overview

In this course, you will discover the best practices for utilizing different approaches such as prompting, Retrieval-Augmented Generation (RAG), fine-tuning, and employing agents. You'll learn the contexts in which these strategies are most effective and understand the rationale behind their success.

Build Your LLM Developer Toolkit

Equip yourself with a fundamental "LLM Developer Toolkit". This includes knowledge and skills in:

  • Customization and databases
  • Frameworks and fine-tuning
  • Quality assessment
  • Security measures

Through practical examples, we'll guide you in designing end-to-end workflows, integrating ChatGPT and other models into business processes, creating multi-step agents, and optimizing models for specific tasks and domains.

From Ideas to AI Products

Learn how to transform your ideas into AI products, progressing from initial prototypes to robust solutions. You'll explore modern techniques such as:

  • Distillation
  • Quantization
  • Reinforcement Learning from Human Feedback (RLHF)
  • Protection against prompt-hacking

Who Should Enroll?

This program is tailored for developers and IT specialists, but it is beneficial for anyone eager to master LLMs. From grasping their limitations to developing bespoke solutions, this course has you covered. No preliminary knowledge is required, although familiarity with Python could be advantageous.

About the Authors

Louis-François Bouchard

Louis-François Bouchard thumbnail
My journey into the world of AI began in 2019 during my studies in "systems engineering" when I won a competition in emoji classification and realized that I wanted to apply research to real-world tasks. In 2020, I enrolled in a master's program in artificial intelligence, led the AI division at a startup, and launched a YouTube channel dedicated to explaining key AI concepts. These experiences revealed to me a substantial gap between academic research and industry requirements, and in 2022, I became a co-founder of Towards AI to bridge that gap. In 2024, I paused my work on a PhD in medical AI to focus on creating practical solutions. Experience showed that successful AI products require more than just research—they need well-structured technologies and processes. Together with the expert team at TAI, we identified an optimal technology stack for adapting large language models to specific tasks, achieving the necessary accuracy and reliability metrics for a scalable product. Through Towards AI Academy and key projects like the course "From Beginner to Advanced LLM Developer" and an upcoming book, I strive to share these tools and help you create truly effective AI solutions.

Towards AI

Towards AI thumbnail

Towards AI Academy is an expert online school founded in 2019 with the goal of making application "building" with AI accessible to everyone. Our...

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#1: 1. Foundational Knowledge and Using LLMs
All Course Lessons (6)
#Lesson TitleDurationAccess
1
1. Foundational Knowledge and Using LLMs Demo
01:39:50
2
2. Building on Top of LLMs
01:51:39
3
3. Evaluations
01:41:19
4
4. Orchestrating Agent-Based Solutions
01:50:27
5
5. Guardrails, Advanced Techniques, Optimizations and Monitoring
01:41:38
6
6. Re-training Models
01:46:02
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