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Mastering (LLMs) training course

In this practical course, we will delve into the intricacies of training and fine-tuning LLMs, equipping you with the knowledge and skills to effectively utilize these models in your data analysis endeavors.

"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"

Brian Leek, Data Analyst, May 2022

Public Courses

27/01/25 - 2 days

£2500 +VAT

Enrol

10/03/25 - 2 days

£2500 +VAT

Enrol

21/04/25 - 2 days

£2500 +VAT

Enrol

Customised Courses

* Train a team
* Tailor content
* Flex dates

From £1200 / day

Highlights Details Audience Feedback Prices/Dates Related Courses

Public Courses

Highlights

Mastering LLMs Training:

Introduction to Language Models and Data Analysis
Overview of Language Models and their significance in data analysis
Introduction to common data analysis tasks and challenges
Ethical considerations and potential biases in LLM-based data analysis
Language Model Fundamentals and Training
Fundamentals of language modeling and LLM architectures
Hands-on exercise: Training an LLM using TensorFlow or PyTorch
Fine-Tuning LLMs for Data Analysis Tasks

Course Details

Unit 1: Introduction to Language Models and Data Analysis

1.1 Overview of Language Models and their significance in data analysis
1.2 Introduction to common data analysis tasks and challenges
1.3 Ethical considerations and potential biases in LLM-based data analysis

Unit 2: Language Model Fundamentals and Training

2.1 Fundamentals of language modeling and LLM architectures
2.2 Pretrained LLMs and their applications in data analysis
2.3 Data preprocessing and preparation for LLM training
2.4 Hands-on exercise: Training an LLM using TensorFlow or PyTorch

Unit 3: Fine-Tuning LLMs for Data Analysis Tasks

3.1 Techniques for fine-tuning LLMs for specific tasks
3.2 Fine-tuning LLMs for text classification
3.3 Fine-tuning LLMs for sentiment analysis
3.4 Hands-on exercise: Fine-tuning an LLM for a data analysis task

Unit 4: Advanced Topics in LLMs for Data Analysis

4.1 Transfer learning with LLMs: Leveraging pretrained models for new tasks
4.2 Domain adaptation for LLMs: Adapting models to specific domains
4.3 Multitask learning with LLMs: Training models for multiple related tasks
4.4 Hands-on exercise: Applying advanced techniques to fine-tune LLMs

Unit 5: Evaluation, Interpretation, and Future Directions

5.1 Metrics for evaluating LLM performance in data analysis
5.2 Interpreting LLM outputs and internal representations
5.3 Visualization techniques for LLM analysis
5.4 Best practices for deploying and maintaining LLMs in production
5.5 Future directions and emerging trends in LLM-based data analysis

Who should attend

The intended audience is technically-oriented professionals and students with background knowledge in machine learning and natural language processing.

Specifically, it targets data analysts, data scientists, machine learning engineers and researchers who want to leverage the capabilities of advanced neural network architectures like LLMs to extract deeper insights from text data across various analytical tasks.

Attendees should have prior coding experience and be comfortable with mathematical and statistical concepts used in machine learning.

Feedback

4.8 out of 5 average

Brian Leek, Data Analyst, May 2022

“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”

Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022

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More about this course

Unlock the power of Language Models (LLMs) and revolutionize your data analysis skills with our comprehensive training program, "Mastering LLMs". In this course, you will embark on an enlightening journey into the world of Language Models, understanding their significance in modern data analysis practices. From delving into the fundamentals of LLM architectures to exploring common data analysis challenges, you will gain invaluable insights into leveraging LLMs to extract meaningful insights from vast datasets.

Moreover, ethical considerations and potential biases in LLM-based data analysis will be thoroughly discussed, equipping you with the knowledge to navigate the complexities of responsible data analysis.

Delve deeper into the intricacies of Language Models as you dive into hands-on exercises aimed at training LLMs using industry-standard frameworks such as TensorFlow or PyTorch.

Through practical demonstrations and immersive learning experiences, you will master the art of fine-tuning LLMs for various data analysis tasks. Whether you're a seasoned data analyst or a novice in the field, "Mastering LLMs" will empower you to harness the full potential of Language Models and elevate your data analysis capabilities to unprecedented heights.

FAQs

1. What is the target audience for this course?

This course is designed for data analysts, data scientists, machine learning engineers, and anyone interested in leveraging Language Models (LLMs) for data analysis tasks. Whether you're a beginner or an experienced professional looking to enhance your skills, this course offers valuable insights into mastering LLMs for advanced data analysis.

2. Are there any prerequisites for enrolling in this course?

While there are no strict prerequisites, a basic understanding of machine learning concepts and familiarity with Python programming language will be beneficial. Participants with a background in data analysis or related fields will find the course content more accessible, but individuals with a keen interest in data analysis are also welcome to enroll.

3. What can I expect to learn from this course?

Throughout the course, you will gain a comprehensive understanding of Language Models and their applications in data analysis. You will learn how to train and fine-tune LLMs using popular frameworks such as TensorFlow or PyTorch. Additionally, you will explore ethical considerations and potential biases in LLM-based data analysis, ensuring responsible and reliable data interpretation.

4. Will there be practical exercises and hands-on training sessions?

Yes, the course includes practical exercises and hands-on training sessions aimed at reinforcing your understanding of LLMs and data analysis techniques. You will have the opportunity to apply theoretical concepts in real-world scenarios, allowing for a deeper immersion into the subject matter.

5. How will this course benefit my career in data analysis?

By mastering LLMs and advanced data analysis techniques, you will significantly enhance your skill set and marketability in the field of data analysis. The knowledge and expertise gained from this course will open up new opportunities for career advancement and enable you to tackle complex data analysis challenges with confidence and proficiency.

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+44 (0)20 8446 7555

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