GPT for Business: Build & Deploy Smart Business Assistants
- Description
- Curriculum
- FAQ
- Reviews
In today’s competitive business landscape, companies are increasingly turning to artificial intelligence to boost efficiency, enhance customer experience, and streamline operations. This course, Business App Development by GPT, is designed for professionals looking to leverage the power of Large Language Models (LLMs) to create impactful, production-ready applications tailored for business environments.
What You’ll Learn:
This comprehensive, hands-on course will guide you through every critical stage of developing AI-driven business applications:
-
Introduction to LLMs and Their Business Applications
Gain a deep understanding of how LLMs are transforming industries, from customer service to process automation. -
Prompt Engineering for Optimal Results
Master techniques to craft prompts that maximize the accuracy and relevance of LLM responses, enhancing real-world applicability. -
Building a Conversational FAQ Chatbot from Scratch
Through hands-on projects, you’ll build a chatbot that uses information directly from your company’s documents, such as product details, policies, and FAQs, making it highly relevant and useful for real-world applications.
Key Topics Covered:
Beyond building technical expertise, this course covers essential aspects of deploying AI at scale:
-
Scalability, Security, and Reliability
Learn best practices for monitoring and maintaining your applications to ensure a robust, production-ready AI solution. -
Ethical AI Principles
Delve into essential topics like bias mitigation and transparency to ensure that your AI solutions are ethical, trustworthy, and responsible.
Key Course Project:
The core project of this course is a business-driven chatbot that can read, interpret, and respond to customer inquiries based on your business documentation. Using powerful tools like HuggingFace, Python, and Gradio, you’ll develop an application that extracts valuable insights from your files, making it a one-stop solution for customer support.
Why Take This Course?
By the end of this course, you’ll be equipped with the skills and confidence to design, develop, and deploy LLM-powered applications that can revolutionize business processes. This course is an ideal investment for:
-
Developers, Data Scientists, and Business Professionals with a basic programming background who are eager to build advanced AI applications.
-
Individuals seeking practical knowledge and industry insights to drive AI innovation within their organizations.
-
Learners aiming to showcase a completed, real-world AI project that highlights their expertise in applying LLMs to solve business challenges.
Join us in Business App Development by LLMs and unlock your potential to harness AI’s full power for business success.
-
1
How to Leverage LLMs: Advantages and ApplicationsIn this video, we'll introduce you to Large Language Models (LLMs) and discuss their extensive advantages and applications. You'll learn about the remarkable abilities of LLMs and how they can be utilized to improve different facets of AI technology. By the end of this video, you'll have a solid grasp of the potential of LLMs and understand their significant impact on the evolution of AI applications.
-
2
Guide to Prompt Engineering for AI Models
In this video, we'll delve into the concept of prompt engineering and its role in enhancing the performance of LLMs. You'll discover techniques such as content selection, phrasing, and structuring to create effective prompts that maximize the capabilities of LLMs. By the conclusion of this video, you'll possess practical skills to optimize your LLM's performance through strategic prompt crafting.
-
3
Successfully Deploy LLMs in Your Projects
In this video, we'll give you a rundown of the development process for Large Language Models (LLMs), covering everything from preparing training data to designing model architecture, implementing training techniques, and conducting evaluations. You'll get a clear view into how high-performing LLMs are constructed and optimized for diverse applications. By the end of this video, you'll have a good understanding of the essential work involved in creating effective LLMs.
-
4
What Production-Ready Means
In this video, we'll delve into the essential components beyond just the model that are crucial for advancing an LLM application from a prototype to a production-ready stage. You'll discover aspects like scalability, monitoring, reliability, infrastructure, and other vital factors for deployment in real-world settings. By the conclusion of this video, you'll have a comprehensive understanding of what it takes to deploy robust LLM systems effectively.
-
5
Leverage the HuggingFace Platform to Build AI Models
In this video, we'll get you started with HuggingFace by guiding you through the process of creating an account and configuring your workspace. You'll get practical experience using this robust ML platform, which is optimized for working with advanced LLMs. By the time this video concludes, you'll be fully prepared to begin your development projects on HuggingFace.
-
6
Gradio: Easy GUI for Python
In this video, we'll demonstrate how to use the Gradio library to swiftly create web interfaces for interacting with LLMs. You'll discover how straightforward Python code can be used to develop comprehensive applications and demonstrations. By the conclusion of this tutorial, you'll have the skills to effortlessly construct interfaces for your LLM projects.
-
7
Building your FAQ Chatbot: Initial Steps
In this video, we'll start building a FAQ chatbot utilizing HuggingFace and Gradio. You will upload your data, set up a model, and apply fundamental question-answering techniques. By the end of this session, you will have created a working conversational agent.
You can find the files for this Chatbot in the resources of this video. -
8
Completing and Deploying your FAQ Chatbot
In this video, we'll finalize our FAQ chatbot and prepare it for deployment to a scalable endpoint. You'll implement monitoring, enhance security measures, and integrate other essential production practices. By the conclusion of this tutorial, you'll have a sturdy chatbot equipped for practical, real-world applications.
-
9
Key Ethical Issues in LLM Applications
In this video, we'll delve into the critical ethical risks associated with using LLMs, including biases, safety challenges, and issues with transparency. You'll develop an understanding of the potential drawbacks of LLMs. By the end of this session, you'll recognize the importance of being cautious and thorough when implementing powerful AI technologies.
-
10
Strategies to Minimize AI Risks
In this video, we'll cover strategies for mitigating ethical risks in LLM applications, such as data bias, unfair outcomes, and unexpected behaviors. You'll acquire practical techniques to enhance the fairness, safety, and control of your LLM applications. By the end of this tutorial, you'll be equipped to proactively reduce the potential harms associated with AI.
-
11
Transparency and Oversight in Generative AI
In this video, we'll highlight the significance of transparency in AI systems as a means to foster trust and facilitate oversight. You'll be introduced to explainability techniques and design principles that effectively communicate the capabilities and limitations of an LLM. By the conclusion of this video, you'll understand and value the importance of transparency.
-
12
Techniques to Sustain User Trust in AI
In this video, we'll examine the best practices for designing interactions between humans and AI to manage user expectations and ensure appropriate reliance on LLMs. You'll learn communication strategies that help maintain trust. By the end of this session, you'll grasp how to ethically incorporate AI capabilities into your workflows.
