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Manav Pandey

The concepts of large language models (LLMs) took the world by storm in November 2022, positioning Artificial Intelligence as one of the most invested-in and promising technology sectors.

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The concepts of large language models (LLMs) took the world by storm in November 2022, positioning Artificial Intelligence as one of the most invested-in and promising technology sectors.

This guided project will walk you through the creation of a reasoning and acting (ReAct) agent that harnesses the capability of the most prominent LLM in the world, GPT-4, to automate complex tasks that would normally require human reasoning and input. Ever wanted to know how to use large language models to interact with your business infrastructure or automate customer chat queries? This project is for you.

By the end of this guided, ~1-hr long project, you will have created a GPT Assistant in Node/Typescript, that is able to answer questions on real-time information, such as the stock prices, and also answer questions on given input files. You will also understand the fundamentals of creating assistants that you can use and scale for your own business considerations.

We will walk through the process from the beginning, from setting up your environment and API key, to uploading files and testing the limitations of retrieving relevant information, and creating functions that have reliable logic that can be scaled and changed depending on business need.

This project, of intermediate complexity, is intended for those with some background in programming and application development to fully understand the logic and setup, though even business owners and managerial professionals can benefit from the project as we walk through every step and explain the cost-benefit analysis.

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What's inside

Syllabus

Project Overview
This Guided Project, "Automated Reasoning with GPT Assistant API: ReAct Agents," is perfect for software developers and AI enthusiasts. In this guided project, you will learn to leverage GPT as a ReAct agent and tune it for specified business logic, creating an intelligent chatbot in a Node.js and TypeScript environment. Key topics include environment setup, API insights, basic chatbot functions, and integrating business-specific data. This project is unique in its integration of AI-driven natural language processing with business-oriented customization. Prior knowledge of JavaScript or TypeScript and Node.js is recommended for an optimal learning experience. This course is perfect for businesses and engineers that are looking for an effective and simple way to leverage the power of generative AI for their business use cases.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Builds a strong foundation in the fundamentals of ReAct agents and GPT-4
Develops professional skills in creating chatbots using JavaScript and TypeScript
Teaches how to integrate business-specific data into chatbots
Provides step-by-step guidance in setting up the environment and using the API
Covers the limitations of retrieving relevant information and creating reliable logic
Suitable for business owners and managerial professionals seeking an accessible approach to generative AI

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Automated Reasoning with GPT Assistant API: ReAct Agents with these activities:
Explore GPT Assistant Documentation
Review the official GPT Assistant documentation to gain a deeper understanding of its features, capabilities, and best practices, enhancing your ability to effectively utilize it in your projects.
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Show steps
  • Visit the GPT Assistant website
  • Navigate the documentation sections
  • Identify key concepts and functionalities
  • Explore code samples and usage examples
Collaborate with Peers
Engage with fellow learners to share ideas, troubleshoot challenges, and expand your knowledge of GPT Assistant and its applications, fostering a collaborative learning environment.
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Show steps
  • Join or form a study group
  • Discuss course concepts and share experiences
  • Work together on projects or assignments
  • Provide feedback and support to each other
Mentoring and Support
Actively engage in mentoring or supporting other learners, sharing your knowledge and experiences with GPT Assistant, fostering a supportive and collaborative learning environment.
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Show steps
  • Identify opportunities to mentor or support others
  • Share your learnings and experiences
  • Provide guidance and feedback
  • Encourage and support other learners
Eight other activities
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Practice solving coding problems using GPT
Develop your coding skills by applying GPT-4 to solve coding problems, enhancing your proficiency in using GPT for practical tasks.
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Show steps
  • Set up a coding environment with GPT-4 integration.
  • Identify coding problems that can be solved with GPT-4.
  • Write code prompts to guide GPT-4 in solving the problems.
  • Analyze and refine the solutions provided by GPT-4.
Build a chatbot using GPT-4 API
Solidify your understanding of GPT-4's capabilities by creating a functional chatbot that interacts with users using GPT-4's language model.
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Show steps
  • Design the chatbot's functionality and user interface.
  • Set up the GPT-4 API and integrate it with your chatbot.
  • Develop the logic for handling user inputs and generating responses.
  • Test and refine the chatbot's performance.
  • Deploy the chatbot and monitor its usage.
Develop a personal assistant using GPT-4
Challenge yourself by creating a personal assistant that leverages GPT-4's capabilities to automate tasks, provide information, and assist you in various ways.
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Show steps
  • Define the scope and functionality of your personal assistant.
  • Set up the GPT-4 API and integrate it with your assistant.
  • Develop the logic for handling user requests and generating responses.
  • Design and develop a user-friendly interface for the assistant.
  • Test and refine the assistant's performance.
Practice using GPT Assistant
Engage in hands-on exercises to familiarize yourself with the functionality and capabilities of the GPT Assistant, solidifying your understanding of its practical applications.
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Show steps
  • Create a sample Node/TypeScript application
  • Connect the application to the GPT Assistant API
  • Experiment with different prompts and inputs
  • Analyze the responses and evaluate the accuracy and relevance
Build a Simple Chatbot
Create a simple chatbot that leverages the GPT Assistant to enhance its capabilities, reinforcing your understanding of building automated communication systems.
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Show steps
  • Design the chatbot's functionality and flow
  • Integrate the GPT Assistant into the chatbot
  • Develop a user interface for interacting with the chatbot
  • Test and refine the chatbot's performance
Personalize GPT Assistant
Customize the GPT Assistant to align with your specific business needs, deepening your understanding of how to tailor AI models for real-world applications.
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Show steps
  • Identify areas for customization
  • Configure and fine-tune the GPT Assistant settings
  • Integrate the customized GPT Assistant into your application
  • Evaluate the performance and impact of the customization
Write a Blog Post or Article
Create a blog post or article sharing your experiences and insights on using GPT Assistant in practical applications, reinforcing your learning and contributing to the broader community knowledge.
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Show steps
  • Choose a specific topic or application
  • Research and gather information
  • Write and edit your blog post or article
  • Publish and promote your content
Contribute to Open Source Projects
Engage in open source communities, contributing to projects related to GPT Assistant and natural language processing, enhancing your understanding of real-world applications and fostering collaboration.
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Show steps
  • Identify open source projects to contribute to
  • Review the project documentation and guidelines
  • Propose a feature or fix
  • Develop and test your contribution
  • Submit a pull request and participate in the review process

Career center

Learners who complete Automated Reasoning with GPT Assistant API: ReAct Agents will develop knowledge and skills that may be useful to these careers:
Chatbot Developer
Chatbot Developers specialize in designing, developing, and deploying virtual assistants and customer service chatbots. This course empowers you to harness GPT's capabilities, allowing you to create intelligent and engaging chatbots, enhancing user experiences and streamlining customer interactions across multiple channels.
Artificial Intelligence Engineer
Artificial Intelligence Engineers specialize in designing, developing, and deploying AI systems. This course offers a comprehensive introduction to AI fundamentals and deep dives into advanced topics such as natural language processing and machine learning, enabling you to build and implement AI solutions that solve complex problems and drive innovation across industries.
Natural Language Processing Engineer
Natural Language Processing Engineers develop and implement AI systems that can understand, interpret, and generate human language. This course deepens your understanding of NLP techniques and exposes you to GPT's capabilities, enabling you to build sophisticated NLP solutions for various applications, including machine translation, text summarization, and question answering.
Data Scientist
Data Scientists leverage large datasets and advanced statistical techniques to uncover patterns and insights. This course provides a comprehensive introduction to data science methodologies and exposes you to GPT's capabilities, enabling you to explore specialized applications such as natural language processing and predictive modeling to derive valuable insights from complex data.
Software Engineer
Software Engineers design, develop, and maintain software systems. This course provides a solid foundation in software engineering principles and introduces you to AI techniques, including natural language processing, enabling you to integrate AI capabilities into your software solutions and enhance their functionality.
Research Scientist
Research Scientists conduct original research and develop new technologies to advance scientific knowledge. This course introduces you to the principles of scientific research and exposes you to AI techniques, including natural language processing, enabling you to explore novel applications and push the boundaries of knowledge in various scientific domains.
Conversational AI Engineer
Conversational AI Engineers combine technical expertise with a passion for user experience to build and maintain intelligent conversation systems. This course introduces you to advanced techniques in natural language processing and AI, equipping you to design and optimize conversational interfaces that enhance user engagement and satisfaction.
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models to solve complex business problems. This course offers a comprehensive introduction to machine learning fundamentals, empowering you to utilize GPT for specialized tasks such as fine-tuning models and exploring advanced applications like image recognition and predictive analytics.
User Experience Designer
User Experience Designers enhance the usability and satisfaction of digital products and services. This course introduces you to UX design principles and methodologies, enabling you to leverage GPT for tasks such as user research, prototyping, and feedback analysis, empowering you to create user-centered experiences that drive engagement and loyalty.
Product Manager
Product Managers lead the development and launch of new products and features, ensuring they meet customer needs and align with business objectives. This course provides insights into AI-driven product development, enabling you to leverage GPT for user research, market analysis, and customer feedback analysis to enhance product strategy and decision-making.
Business Analyst
Business Analysts bridge the gap between business and technology, analyzing business processes and identifying opportunities for improvement. This course provides a solid foundation in business analysis principles and introduces you to AI techniques, including natural language processing, enabling you to extract insights from unstructured data and enhance business decision-making.
Technical Writer
Technical Writers transform complex engineering and technical jargon into accessible language for a wide range of audiences, bridging the gap between knowledge and understanding. This course introduces you to fundamentals in AI and natural language processing, enabling you to effectively convey technical information in various formats, including user manuals, training materials, and marketing collateral.
Salesforce Consultant
Salesforce Consultants help businesses implement and optimize the Salesforce platform to streamline sales, marketing, and customer service processes. This course introduces you to Salesforce fundamentals and enables you to leverage GPT for tasks such as data extraction, report generation, and customer relationship management, empowering you to maximize the value of Salesforce for your clients.
Data Analyst
Data Analysts uncover insights and trends from raw data, enabling businesses to make informed decisions. This course provides a solid foundation in data analysis, enabling you to leverage GPT for natural language processing tasks, such as sentiment analysis and text classification, to extract meaningful patterns and insights from data.
Marketing Analyst
Marketing Analysts measure the effectiveness of marketing campaigns and provide insights to optimize strategies. This course equips you with the skills to analyze customer data, conduct market research, and leverage GPT for tasks such as social media monitoring and content optimization, empowering you to make data-driven marketing decisions.

Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Automated Reasoning with GPT Assistant API: ReAct Agents.
This comprehensive textbook covers both speech and language processing, providing a broad understanding of human language technologies.
This highly-regarded book provides a practical introduction to deep learning with Python, focusing on building and training models.
This classic textbook provides a comprehensive foundation in reinforcement learning, covering theory, algorithms, and applications.
This foundational text on deep learning and will be useful for those that intend to modify and/or create their own GPT-4 models.
Provides a broad discussion on speech and language processing. It's a great reference for those interested in using GPT-4 for speech recognition and other NLP tasks.
Provides a thorough introduction to natural language understanding. It will be helpful for those who want to develop deep NLP models using GPT-4.

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