Title
LLM and RAG | Updated with AI Agents
Build Web Applications Using LLMs and Streamlit | LangChain | Fine Tune the LLM | Retrieval Augmented Generation (RAG)

What you will learn
Technology behind LLMs
How to build an LLM programmatically
How to fine tune an LLM
How to build web based applications using LLM
What is LangChain
How to use LangChain in applications
How to evaluate a large language model
How to assess bias in an LLM
How to fine tune GPT 3.5 easily
What is RAG
How does RAG differ from fine tuning
What are the recent advances in RAG
How to build a RAG application
Why take this course?
π Course Title: Large Language Models: Core Concepts to Custom Applications
π₯ Headline: Build Web Applications Using LLMs & Streamlit | Understand LangChain | Fine Tune the LLM with SeaportAi!
π Course Description:
Welcome to a Succinct and Dynamic Course on Large Language Models (LLMs)! π
Embark on an enlightening journey into the heart of AI with our comprehensive course designed for professionals, developers, and AI enthusiasts alike. Whether you're from the corporate world grappling with data privacy concerns or a tech aficionado eager to harness the capabilities of LLMs, this course is crafted specifically for you!
Hereβs What You Can Expect: π§
- Journey from NLP to LLMs: π
- Discover the transformative path from Natural Language Processing (NLP) to the cutting-edge technology of Large Language Models and appreciate the significant advancements made along this journey.
- Technology Underpinning LLMs: π οΈ
- Unpack the core technologies that power LLMs, including Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTMs), and the revolutionary Transformers architecture.
- Fine Tuning: β¨
- Learn how to fine-tune LLMs to tailor them for specific tasks and datasets, enhancing their performance and effectiveness.
- Building LLM-based Web Applications: π»
- Dive into hands-on experience with Streamlit and the OpenAI API to create interactive web applications fueled by LLMs.
- Practical LLM Applications: π οΈ
- Step-by-step guidance on constructing real-world applications such as chatbots, engaging with PDF files, and summarizing web pages using LLMs.
- Introduction to LangChain: π§©
- Explore LangChain, an open-source framework designed to simplify the development of LLM applications, and see how it can streamline your workflow.
- Resources: π
- Access all course codes and datasets as downloadable resources to practice and experiment beyond the scope of the course.
- Refresher on Core NLP: π
- Brush up on your knowledge of NLP fundamentals to better grasp the advanced concepts in LLMs, with modules tailored for learners at different levels.
This course is a living entity! As the field of LLMs continues to evolve, we'll update our material to ensure you remain at the forefront of this cutting-edge technology. π±
Who Should Take This Course? π©βπ»π¨βπΌ
This course is ideal for those aspiring to:
- Craft custom applications with a focus on harnessing the boundless potential of AI while being mindful of data privacy.
- Stay ahead in the rapidly evolving landscape of LLMs.
- Understand the practical implications and real-world applications of LLMs.
Join Us! π
Step into a world where language and technology seamlessly intertwine, and embark on a learning journey that's not just engaging but also enlightening! π
SeaportAi invites you to unravel the mysteries of Large Language Models and transform your understanding into actionable skills. Don't miss this opportunity to be part of the AI revolution!
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