Mastering Generative Ai Engineering Of Tomorrow

AI for finance deep dive + Building own open source GenAI application from scratch + Falcon LLM + Langchain + Chainlit

What you'll learn

Understand the theory, the economic as well as the technical reasoning behind generative Artificial Intelligence

Master multiple Large Language Models – LLMs

Learn how to approach the development of GenAI models

Master Foundational Models

Discover value chain creation with generative AI

Master Variational Autoencoders

Create a powerful versatile GenAI application from scratch

Learn how vector databases work

Acquire a great intuition how to introduce GenAI to your team

Master Stable Diffusion

Make accurate predictions about mainstream adoption of various GenAI approaches

Learn to make reliable analysis on AI open source projects

Create strong added value to your business

Use GenAI for personal purpose

Master LLM powered autonomous agents

Learn about FinGPT - the framework for creating LLM for financial applications

Master LoRA - Low-Rank Adaptation of Large Language Models

Understand the theory behind Large Language Models and how they work under the hood

Learn about promising current and future use cases that can be tackled with GenAI

Learn to understand advanced tech like Transformers

Requirements

Although a basic acquaintance with Python programming and fundamental machine learning concepts is certainly a plus, this course has been constructed to assist those who are new to these concepts, ensuring a seamless learning experience for all.

Description

Welcome to "Mastering Generative AI engineering of tomorrow”, an in-depth designed course destined to immerse you in the realm of Generative Artificial Intelligence. In this explorative journey, you will uncover the intricacies and extensive capabilities of generative models, engaging with both their theoretical foundations and practical implementations.The aim of this course is to enable you to build limitless AI applications with the Falcon open-sourced LLM.Most developers build "wrappers" for AI chatbots which are completely dependent the AI companies providing them, which can at any moment choke off the said applications by changing their terms of use.With this course you will learn how to build AI applications without relying on third party APIs. What you will learn:Understand the theory, the economic as well as the technical reasoning behind generative Artificial IntelligenceMaster multiple Large Language Models – LLMsLearn how to approach the development of GenAI ModelsMaster Foundational ModelsDiscover value chain creation with generative AIMaster Variational AutoencodersCreate a powerful versatile limitless GenAI applicationLearn how vector databases workHave a great intuition how to introduce GenAI to your teamMaster Stable DiffusionMake accurate predictions about mainstream adoption of various GenAI approachesMake reliable analysis on AI open source projectsCreate strong added value to your businessUse GenAI for personal purposeMaster LLM powered autonomous agentsLearn about FinGPT - the framework for creating LLM for financial applicationsMaster LoRA - Low-Rank Adaptation of Large Language ModelsUnderstand the theory behind Large Language Models and how they work under the hoodLearn about promising current and future use cases that can be tackled with GenAILearn to understand advanced tech like Transformers

Overview

Section 1: Introduction

Lecture 1 Intro

Lecture 2 Course description

Lecture 3 Where did generative AI come from?

Lecture 4 Artificial Intelligence keywords List

Section 2: Part 1 - Technical part

Lecture 5 Variational autoencoders (VAEs) & Generative adversarial networks (GANs)

Lecture 6 Transformers

Lecture 7 Large Language Model - LLM

Lecture 8 Inner workings of LLM

Lecture 9 Stable diffusion

Lecture 10 LoRA - Low-Rank Adaptation of Large Language Models

Section 3: Part 2 - Economic part: Use cases and mainstream adoption

Lecture 11 Practical overview of generative AI models

Lecture 12 Advantages of LLMs / generative and other types of AI / Value chain creation

Section 4: Part 3 - Building LLM applications for production

Lecture 13 Prompt optimization and evaluation. Prompting. Fine tuning. Vector databases

Lecture 14 LLM Powered Autonomous Agents

Lecture 15 LLM key points

Lecture 16 LLM for finance

Section 5: Part 4 - Build own limitless generative AI application with Falcon 40B LLM

Lecture 17 Introduction to the components of your own limitless generative AI application

Lecture 18 Coding the limitless generative AI application

Section 6: Quiz

This course is for a diverse audience, including AI/ML enthusiasts, data scientists, researchers, students, developers, economists and anyone harboring a curiosity about Generative AI.