Learn how to extend LLMs’ capabilities to enable efficient information retrieval from PDF documents
PDF file reports, as a form of written document, are used in many sectors. In practice, these reports often contain very detailed and comprehensive information. This makes the documents tend to be thick and complex, making it challenging to find specific information. The thickness and complexity of these reports are often due to the need to cover all relevant aspects and present data and analysis comprehensively to ensure that readers gain a complete understanding of the subject at hand.
With the development of artificial intelligence (AI) and machine learning (ML) technologies, we can streamline the search for information contained in tens or even hundreds of pages of PDF reports using large language models (LLMs). In this 3-day workshop, you will gain a brand new understanding of how we can extend LLMs’ capabilities to enable efficient information retrieval from PDF documents. Starting with plain PDF documents, you will learn how to process these documents, serve them as additional contexts for LLMs, and eventually, this will answer all of your for the documents!
NOTE: This workshop will be delivered in Bahasa Indonesia.
Upon completion of this workshop, you will be able to:
Python Programming Basics
The Fundamentals of LLM
Introduction to LangChain
Introduction to LangChain
Case Study: Q&A and Summarization for PDF Document
This testimonial video is taken after our previous Online Data Science Series: Time Series Analysis for Business Forecasting.
Our learning format is online-interactive, you will feel the interactive experience as if you were present in a physical classroom. You can access the class using your Zoom account on pre-defined dates.
Workshops in this series are tailored to casual programmers and non-programmers that are taking their first steps into data science. It assumes no prior knowledge or academic background, and attendees will be introduced to the beautiful art of writing R / Python code to produce data visualization and build machine learning models. The workshop has a gentle learning slope that is designed with non-technical professionals and academics in mind.
If I don’t have any IT or programming skills, can I still attend this workshop?
Yes, you can still attend the workshop as it is a beginner-friendly workshop.
How to join the interactive-online learning class after I’ve done the payment & registration?
Our system will send you an email containing a link and details to join a Google Classroom.
What platform will be utilized for this online-interactive learning workshop?
Online learning will be conducted via Zoom.us, Link to join the Zoom Class will be announced via Google Classroom.
How will the participants receive the learning materials?
Learning materials can be obtain via Google Classroom
Would I receive a certificate after participating in the Workshop?
Yes, you will receive a certificate of completion.
Saskia Dwi Ulfah, a Data Science Instructor at Algoritma Data Science School, has nearly two years of experience in data science and analytics, with a strong proficiency in Python, SQL, and R. Her expertise extends to deep learning and managing end-to-end machine learning projects. She has made significant contributions to collaborative projects in Omdena’s open data science initiatives and developed an advanced face anti-spoofing algorithm, enhancing the security of face recognition systems.
Saskia’s diverse skills are further showcased in her high-quality corporate training for clients like XL Axiata. Her commitment and extensive knowledge in data science not only mark her as an invaluable asset but also ensure she provides an enriching and comprehensive learning experience.
PT. Algoritma Data Indonesia.
RDTX Square, 9th Floor. Setiabudi, DKI Jakarta 12930.
WhatsApp: 0816-692-471
Email: community@algorit.ma
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