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Fine-Tuning Fundamentals: Unlocking the Potential of LLMs
Rating: 4.2 out of 5(46 ratings)
210 students

Fine-Tuning Fundamentals: Unlocking the Potential of LLMs

A practical course on building chatGPT style models
Created bySiva Rajesh Kasa
Last updated 6/2024
English

What you'll learn

  • Understand Low Rank Adaption based finetuning of LLMs
  • Understand how generation (inference) works in LLMs
  • Understand the pitfalls of Generative NLP models
  • Explore open problems in Generative NLP

Course content

5 sections • 23 lectures • 1h 28m total length

  • Introduction1:47

    Explore fine-tuning fundamentals and unlock the potential of large language models by building ChatGPT-style conversational agents and mastering core generative AI concepts.

  • Why this course2:07

    Discover how to build a conversational AI system with open source tools, privacy-first design, modular plug-and-play models, and core generative natural language processing fundamentals for beginners.

  • Prerequisites1:16
  • Refresher2:11
  • Quiz: Introduction

Requirements

  • Preliminary Python Skills, and Google Account
  • Basic Linear Algebra
  • Familiarity with Neural Networks can help you appreciate this course even better

Description

Overview (Edited based on Student Feedback):

Ever been curious about the mechanics behind ChatGPT and how to adapt it for your usecase? Dive into this concise, intermediate-level course, tailored for those with limited time but an immense curiosity. In just around 90 minutes, we'll demystify the core concepts of this cutting technology.


Topics Covered:

  1. A brief overview of Self Attention, Transformers and Language Models

  2. Low Rank Adaptation for finetuning LLMs

  3. Inference for decoder models


What You'll Learn:

  • Understanding and Finetuning LLMs: Delve deep into the research and engineering that powers these advanced conversational systems.

  • Quick and Hands-On: Engage with fast-paced, hands-on modules that lead you to set up and interact with your own LLM using open-source tools.

  • Foundational Principles: Even as we navigate swiftly through the topic, the core concepts you'll absorb remain consistently foundational across the entire field of conversational AI.

Who This Course Is For:

  • Time-Bound Enthusiasts: Perfect for individuals with hectic schedules but a passion to understand AI—no lengthy commitments, just pure learning. The commitment required for this course is 90 minutes.

  • Suitable for Intermediate level (Edited based on Student Feedback):  A beginner-to-intermediate level of Machine Learning knowledge is expected.

  • Professionals & Hobbyists: Whether you're integrating AI into your workflow or just exploring out of passion, this course gives you the LLM essentials in a compact format.

Course Features:

  • Rapid Tutorials: Quick, interactive lessons that get straight to the point, ensuring maximum learning in minimal time.

  • Expert Insights: Benefit from streamlined insights, focusing on what truly matters in the LLM realm.

  • Community Support: Access a bustling community for swift answers, discussions, and collaborative learning.


Embark on a fast-paced journey through the fascinating world of finetuning your own LLM. If time's not on your side but curiosity is, this is your ideal pit stop. Dive in, absorb, and come out enriched—enroll now!


Who this course is for:

  • Intermediate Level Machine Learning Enthusiasts
  • If you only have a couple of hours of free time and want to get an introduction to Large Language Models, you are at the right place

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