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LLM Embedding Insights

Master LLM Embeddings for Advanced Text Processing.

Course details

This course delves into the world of Large Language Models (LLM) and their embeddings, providing participants with valuable insights and practical skills for natural language processing. The syllabus covers basic concepts, advanced techniques, and real-world applications, equipping learners to leverage LLM embeddings effectively for text processing tasks. Whether you’re a data scientist, developer, or NLP enthusiast, this course offers hands-on knowledge to enhance your text analysis capabilities and take your skills to the next level.

Please bring along:

  • 1x Laptop
  • Purchased ticket

Schedule

  • Understanding Embeddings in LLM for NLP

    Day 1

  • Advanced Embeddings in LLM for Text Processing

    Day 2

  • Advanced Applications of Embeddings in Text Processing with LLM

    Day 3

Course Producer

Samuel Chan

Machine learning practitioner in the field of marketing automation, fraud detection, finance and e-commerce. Samuel is Indonesia’s top-ranked Stack Overflow user in R (top 5% worldwide), a certified professional (certificates from Microsoft, MongoDB, Stanford University, John Hopkins University), and an experienced consultant that has worked with several public-trading companies from his time staying in China, Japan and Singapore.

Between 2017 and 2018, Samuel has trained and consulted with more than 20 companies around Indonesia and a regular guest speaker/trainer in a number of universities in Singapore and Indonesia. He is also among the first recipients of Microsoft Professional Program Certificate in Data Science in Southeast Asia, having demonstrated proficiency in R, Python, Microsoft Azure, SQL / T-SQL, PowerBI and a list of other technologies.

3-Day Workshop Modules

Syllabus: LLM Embedding Insights

Module 1: Understanding Embeddings in LLM for NLP

  • Basic concepts of embeddings in LLM
  • Usage of embeddings in natural language processing
  • Demonstration of embeddings usage in text analysis

Module 2: Advanced Embeddings in LLM for Text Processing

  • In-depth understanding of embeddings in LLM
  • Introduction to popular embedding techniques like Word2Vec and FastText
  • Implementation of embeddings in text processing using Python
  • Demonstration of embedding techniques in text processing tasks

Module 3: Advanced Applications of Embeddings in Text Processing with LLM

  • Application of embeddings in advanced text processing
  • Usage of embeddings for text classification and contextual understanding
  • Demonstration of embeddings usage in advanced tasks

Program Receivables:

  • Cutting Edge Curriculum

    A hands-on coding bootcamp with the opportunity to work on real datasets donated by businesses and the public sector. Coursebooks (PDF/HTML files), data set for practice, reference notes, and working files (R Notebook or Jupyter Notebook) are accessible through our Learning Management System account.

  • Project-Oriented Learning

    Work with real-life cases and learn under the assistance of our qualified instructors throughout the 1-month course.

  • Certification of Completion

    Show current and prospective employers that you’ve completed the course with a signed certificate of completion.

  • Quality Learning Environment

    We pay meticulous attention to the logistical details of our workshops: quality audio and visual setups, comfortable sitting arrangements, small group size. Dinners are included for evening workshops.

  • Engaging Community

    Be a part of our data-passionate community with 5000+ members and 300+ alumni.

A STRUCTURED APPROACH TO LEARNING DATA SCIENCE

The Large Language Model Specialization is a 4-week intensive program meticulously crafted to fast-track students’ expertise in harnessing large-scale linguistic models and their real-world applications.

No prior knowledge of Python, NLP, or deep learning principles is required. The course follows a well-structured learning trajectory, emphasizing hands-on exercises. Group mentoring sessions, led by our seasoned instructors and teaching assistants, provide insights and clarification throughout the learning process. For those keen on delving deeper into AI or understanding foundational theories, our Advanced Neural Network and Generative AI Specialization offers a comprehensive next step.

Throughout this specialization, participants will undertake a series of projects, each exploring the vast capabilities of Large Language Models in different scenarios. On completion, our dedicated career support team and industry mentors will assist graduates in navigating their path towards influential roles in AI and language model-centric sectors in leading organizations.

Learn LLM by building:

Students work through tons of real-life examples using sample datasets donated by our team of mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.

Part of Large Language Models Specialization

This course is part of the Algoritma Large Language Models Specialization. Participants are rewarded with a certificate of completion upon passing criteria.