How to use large language models for your business?
Emerging technology for LLM applications
Ratings 4.22 / 5.00
What You Will Learn!
- Understand Generative AI and LLMs: Learn their basics, functionalities, and significance in modern technology.
- LLMs’ Role in Business: Explore how they’re reshaping industries, enhancing decision-making, and driving innovation.
- Building LLM Applications: Gain skills to create AI chatbots, agents, and assistants for varied business needs.
- Discover AI Tools: Explore tools for writing, design, video production, and marketing, enhancing professional tasks.
- Real-World LLM Uses: Learn practical applications in sectors like e-commerce, education, and customer service.
- Comprehensive LLM Development: Master the lifecycle of developing, evaluating, and deploying LLM applications.
- LLM Architectures and Tools: Learn about different LLM architectures, vector databases, and operational frameworks.
- Overcoming LLM Challenges: Understand and strategize to mitigate security concerns and limitations in LLM applications.
Description
This course will teach you about Generative AI, Large language models, and their application in business and our work
You’ll start by learning what generative AI and Large language models are. You’ll understand how they work and what areas are most beneficial. You will learn how to use them to enhance your creativity and efficiency
In the next part, we will dive deeper into methods and technologies used in creating LLM applications like chatbots, AI agents, and AI assistants
LLMs have found promising use cases in various domains
We are seeing significant changes in domains like programming and gaming, learning, talk-to-your-data applications, search and recommendation systems, sales, marketing, and SEO
The use of AI assistants and chatbots uses the capabilities of LLMs to provide personalized and interactive experiences, leading to increased user engagement and satisfaction
Pre-trained AI models represent the most important architectural change in software since the internet They make it possible for individual developers to build incredible AI LLM apps in a matter of days, that surpass supervised machine learning projects that took big teams months to build
Understanding the strengths and limitations of LLMs and effectively leveraging their capabilities can lead to developing innovative and impactful applications in diverse fields
With this course, you will go on a journey through the fascinating world of Generative AI and Large Language Models (LLMs), exploring their transformative impact on the business landscape and workplace efficiency
Begin by unraveling the basics: what Generative AI and LLMs signify, their inner workings, and the domains they excel in. Discover how these advanced technologies can augment your creative prowess and streamline your workflow
As we progress, we'll delve into the intricate methodologies and cutting-edge technologies that underpin LLM applications, such as chatbots, AI agents, and virtual assistants, equipping you with the knowledge to harness their potential to the fullest
You’ll learn about retrieval augmented generation, model fine-tuning, and all the frameworks, all the tools, and processes used in creating LLM-powered applications
You’ll learn what is what and how it all fits together. You’ll be able to discuss vector databases, LLMOps, LLM application validation, and all other aspects involved in creating and publishing LLM applications
The mission here is to untangle the new paradigm of generative AI and large language models in daily use and in the development world
Who Should Attend!
- everybody curious about the new LLM & generative AI technology
- project managers that want to learn about technologies for LLM powererd applications
- developers exploring the emerging stack of LLM applications
- Entrepreneurs: Startup owners and business leaders looking to incorporate AI innovations into their business models.
- Marketing Specialists: Marketers who want to understand how AI can revolutionize digital marketing, SEO, and content creation.
- Content Creators: Writers, journalists, and content creators interested in utilizing AI tools for enhanced content production.
- Designers and Creatives: Graphic designers and creatives eager to explore AI tools in design and video production.
- Educators and Students: Academic professionals and students who want to stay ahead in the rapidly evolving field of AI technology.