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
Who this course is for
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.



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rapidgator.net:

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https://rapidgator.net/file/343af700c538b257ebc464976af70a64/spcyd.Mastering.Generative.AI.engineering.of.tomorrow.part1.rar.html
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https://nitroflare.com/view/D1447FF9047FF61/spcyd.Mastering.Generative.AI.engineering.of.tomorrow.part2.rar