Custom Fine-Tuning GPT-2 & StarCoder in PyTorch for Chatbots

Custom Fine-Tuning GPT-2 & StarCoder in PyTorch for Chatbots, available at $54.99, has an average rating of 5, with 17 lectures, based on 2 reviews, and has 44 subscribers.

You will learn about Master basic PyTorch to fine-tune GPT-2 and StarCoder 2 for chat applications. Design and prepare custom datasets for training conversational models. Implement training loops, manage datasets, and optimize model performance. Utilize trained models to generate real-time, context-aware dialogues. Apply fine-tuning techniques across multiple domains and models. This course is ideal for individuals who are Data Scientists and Machine Learning Enthusiasts: Professionals who have foundational knowledge in machine learning and wish to expand their expertise into the realm of natural language processing and conversational AI. or Software Developers: Coders and developers who want to integrate AI-driven chat functionalities into their applications and need to understand the underlying technology to customize it effectively. or Students in Computer Science: University or college students studying computer science, artificial intelligence, or related fields who are eager to apply theoretical knowledge in real-world projects, particularly in enhancing user interaction through AI. It is particularly useful for Data Scientists and Machine Learning Enthusiasts: Professionals who have foundational knowledge in machine learning and wish to expand their expertise into the realm of natural language processing and conversational AI. or Software Developers: Coders and developers who want to integrate AI-driven chat functionalities into their applications and need to understand the underlying technology to customize it effectively. or Students in Computer Science: University or college students studying computer science, artificial intelligence, or related fields who are eager to apply theoretical knowledge in real-world projects, particularly in enhancing user interaction through AI.

Enroll now: Custom Fine-Tuning GPT-2 & StarCoder in PyTorch for Chatbots

Summary

Title: Custom Fine-Tuning GPT-2 & StarCoder in PyTorch for Chatbots

Price: $54.99

Average Rating: 5

Number of Lectures: 17

Number of Published Lectures: 17

Number of Curriculum Items: 17

Number of Published Curriculum Objects: 17

Original Price: €22.99

Quality Status: approved

Status: Live

What You Will Learn

Master basic PyTorch to fine-tune GPT-2 and StarCoder 2 for chat applications.
Design and prepare custom datasets for training conversational models.
Implement training loops, manage datasets, and optimize model performance.
Utilize trained models to generate real-time, context-aware dialogues.
Apply fine-tuning techniques across multiple domains and models.

Who Should Attend

Data Scientists and Machine Learning Enthusiasts: Professionals who have foundational knowledge in machine learning and wish to expand their expertise into the realm of natural language processing and conversational AI.
Software Developers: Coders and developers who want to integrate AI-driven chat functionalities into their applications and need to understand the underlying technology to customize it effectively.
Students in Computer Science: University or college students studying computer science, artificial intelligence, or related fields who are eager to apply theoretical knowledge in real-world projects, particularly in enhancing user interaction through AI.

Target Audiences

Data Scientists and Machine Learning Enthusiasts: Professionals who have foundational knowledge in machine learning and wish to expand their expertise into the realm of natural language processing and conversational AI.
Software Developers: Coders and developers who want to integrate AI-driven chat functionalities into their applications and need to understand the underlying technology to customize it effectively.
Students in Computer Science: University or college students studying computer science, artificial intelligence, or related fields who are eager to apply theoretical knowledge in real-world projects, particularly in enhancing user interaction through AI.

Embark on a comprehensive journey into the realm of AI-driven chatbots with our detailed course focused on fine-tuning transformer models like GPT-2 and StarCoder 2 using PyTorch. This course is meticulously designed for both beginners and experienced practitioners who wish to leverage the power of advanced AI models to develop sophisticated chat assistants tailored to a variety of uses, from everyday conversational interfaces to specialized coding assistants.

Throughout this course, you will gain hands-on experience with the essentials of transformer technology, starting with the basics of fine-tuning techniques and progressing through the intricate process of preparing custom datasets. You will learn to fine-tune and configure models effectively, ensuring that they can handle real-world conversational flows and engage users with contextually aware interactions. The course also covers the crucial aspects of training loop implementation, optimization of model parameters, and bringing your chatbot to life in a real-time environment.

This course is ideally suited for aspiring AI developers, data scientists keen on NLP, software developers looking to integrate AI functionalities into applications, tech educators seeking to expand their academic offerings, and hobbyists passionate about the cutting-edge of technology. By the end of this course, participants will be equipped with the know-how to not only comprehend the functionalities of GPT-2 and StarCoder 2 but to also innovate and implement their own AI chat solutions, pushing the boundaries of what conversational AI can achieve.

Join us to transform your understanding of artificial intelligence and take your skills in building and deploying AI-driven chatbots to the next level. Whether you are looking to enhance your professional skills or simply explore a fascinating aspect of AI, this course will provide you with the knowledge and tools necessary to succeed.

Course Curriculum

Chapter 1: Introduction & Project Setup

Lecture 1: Course Introduction

Lecture 2: Foundations of Fine-Tuning Transformer Models for Chat

Lecture 3: Installing Dependencies and Setup Configurations

Chapter 2: Dataset Preparation

Lecture 1: Introduction to the Open Assistant Dataset

Lecture 2: Designing Dialogue Templates for Effective Training

Lecture 3: Preparing the Dataset for Chatbot Training

Lecture 4: Initializing the Dataset for Chatbot Training

Chapter 3: Model Training

Lecture 1: Model Setup and Configuration

Lecture 2: Training Initialization & Saving

Lecture 3: Training Execution

Lecture 4: Validation and Assessment

Lecture 5: Drawing losses

Chapter 4: Model Inference

Lecture 1: Inference Setup

Lecture 2: Token-by-Token Generation

Lecture 3: Continuous Chat: Real-Time Dialogue

Lecture 4: Generating Sample Dialogues

Chapter 5: Models Fine-Tuning & Testing

Lecture 1: Training the Models & Testing

Instructors

Shadi Ghaith
Software Developer & Tutor

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Frequently Asked Questions

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