fbpx

Building Large Language Models for Business Applications

Gain practical skills in building and deploying large language models for various business applications.

  • Schedule

    1 – 3 August 2023

    18.30 – 21.30 (WIB)

  • Online-Interactive Learning

    Via Zoom

  • Investment

    Rp. 3.000.000

SOLD OUT

Course Summary

The course “Building Large Language Models for Business Applications” provides participants with an extensive understanding of generative AI and its practical implementation in the business world. Participants explore the architecture, capabilities, and limitations of large language models like GPT-3, GPT-2, and BERT. They will learn about real-world applications such as text completion, question-answering, personalization, translation, summarization, and conversational AI.

Upon completion, participants will have the knowledge and skills to effectively leverage large language models for various business applications. Real-world use cases and best practices are incorporated, providing practical insights for seamless integration into business contexts. This course empowers participants to drive innovation and enhance language-related capabilities in the business domain.

NOTE: This workshop will be delivered in Bahasa Indonesia.

Upon completion of this workshop, you will be able to:

  • Understand and leverage large language models effectively.
  • Apply language models for practical tasks such as text completion, generation, and question-answering.
  • Customize and personalize language models to specific domains or tasks.
  • Incorporate language models into various business projects.

Syllabus

  • Overview of Generative AI and its real-world applications
  • Introduction to the concept of Large Language Models
  • Understanding the potential and impact of Large Language Models
  • Ethical considerations and responsible use of Generative AI
  • Introduction to Natural Language Processing (NLP)
  • Understanding text preprocessing and tokenization
  • Exploring word embeddings and their role in language models
  • Introduction to different text representations
  • Overview of Large Language Models and their architecture
  • Understanding what is Transformer
  • Explanation of pre-training and fine-tuning of language models
  • Introduction to popular Large Language Models like GPT-3, GPT-2, and BERT
  • Understanding the capabilities and limitations of Large Language Models
  • Step-by-step guidance on using a large language model through user-friendly platforms or APIs
  • Text Completion and Generation: Learning how to leverage a Large Language Model to complete sentences, generate paragraphs, or draft emails
  • Answering Questions: Understanding how to ask questions to a Large Language Model and extract relevant information from its responses
  • Personalization and Customization: Exploring ways to fine-tune a Large Language Model to specific domains or tasks for more accurate and tailored outputs
  • Techniques for text generation using Large Language Models
  • Conversing with Data: Leveraging Large Language Models for interactive data exploration and analysis
  • Querying and extracting information from structured and unstructured data using Large Language Models
  • Hands-on exercises and examples of language generation and data conversations
  • Introduction to language translation and summarization tasks
  • Leveraging Large Language Models for machine translation
  • Exploring extractive and abstractive summarization techniques
  • Practical examples and demonstrations of translation and summarization
  • Overview of conversational AI and chatbot development
  • Design principles for building conversational agents using Large Language Models
  • Techniques for dialogue management and response generation
  • Interactive exercises and demonstrations of conversational AI
  • Case studies and real-world applications of Large Language Models for Business Applications
  • Best practices for incorporating Large Language Models into Business projects
  • Challenges and considerations when working with Large Language Models in Business

STUDENT TESTIMONIALS

This testimonial video is taken after our previous Online Data Science Series: Time Series Analysis for Business Forecasting.

SOLD OUT

LEARN FROM ANYWHERE

Experience the interaction of an onsite classroom through our online learning format. Our program offers an engaging interactive experience, making you feel as if you’re physically present in the classroom. Access the class using your Zoom account on scheduled dates.

  • LEARN AT YOUR OWN PACE

    Zoom recording, course Books (PDF & HTML files), the dataset for practice, reference notes, and working files are accessible through our Learning Management System account.

  • PROOF YOUR MASTERY

    Show current and prospective employers of your mastery with a signed certificate of completion.

  • CONNECT WITH LIKE MINDED PEOPLE

    Be a part of our data-passionate community with 5000+ members and 1000+ alumni.

FOR ABSOLUTE BEGINNERS

Workshop in this series are tailored for individuals who are new to data science, including casual programmers and non-programmers. No previous knowledge or academic background is required. Each workshop simplifies complex data science concepts into easy-to-understand modules, enabling a smooth learning journey. The workshops combine theory, practical examples, and interactive activities to make data science accessible to all, regardless of technical expertise.

Yes, you can still attend the workshop as it is a beginner-friendly workshop.

Our system will send you an email containing a link and details to join a Google Classroom.

Online learning will be conducted via Zoom.us, Link to join the Zoom Class will be announced via Google Classroom.

Learning materials can be obtain via Google Classroom

Yes, you will receive a certificate of completion.

SOLD OUT

YOUR INSTRUCTOR

Handoyo Sjarif

A Head of Business Intelligence at Algoritma Data Science School, Handoyo is deeply committed to making data science accessible, advocating for its capacity to enhance productivity and societal improvement. He integrates his proficiency in both Python and R programming languages into his instruction, enriching his teachings with a dual language perspective.

With an impressive repertoire of over 800 hours of teaching experience, Handoyo has been instrumental in providing consultative data science training to a range of prestigious clients, including PT Sigma Metrasys Solution, PT. Indosat Ooredoo, and Bank Central Asia. His involvement in significant initiatives, such as the Auto Insurance Fraud Analysis for Jasa Raharja, further underscores his hands-on expertise. Through this course, participants can look forward to learning from Handoyo’s extensive experience and industry-specific knowledge in harnessing the power of Generative AI and Large Language Models.

SOLD OUT

Get In Touch

PT. Algoritma Data Indonesia.
RDTX Square, 9th Floor. Setiabudi, DKI Jakarta 12930.
WhatsApp: 0816-692-471
Email: community@algorit.ma

Data Science School

For Corporates
For Individuals
Alumni
Testimonials

Company

About us
Contact us
Join Us
Blog
Press

Optimizing Logistics Distribution Routes: A Graph Theory ApproachGeospatial Data Visualization with Rayshader in R