Build Q&A Bot Using OpenAI and ChatGPT

🤖 Build An AI that can answer questions about things happening in the news through text embeddings 🚀

Use OpenAI and ChatGPT to Build Real-World Q&A Bot

Are you ready to dive into the world of AI-powered applications? If your answer is a resounding "Yes!", then this course is precisely what you need. 🎓

Overview: In this comprehensive course, we embark on an exciting journey to build an AI bot capable of answering questions about news articles we crawl from the web. We'll tap into the power of OpenAI and NodeJS to create a tangible application with real-world implications. This is not just a theoretical exercise; it's a hands-on approach to learning the intricacies of generative AI models, particularly those using GPT-3 and its API endpoints.

Why Take This Course? Whether you are a seasoned software developer, a data scientist, or an AI enthusiast eager to expand your skill set, this course is designed with you in mind. It's crafted to cater to individuals who wish to harness the power of embeddings and OpenAI, enabling you to build cutting-edge AI applications that can understand and respond to questions about current events.

Course Highlights:

• 📰 Web Crawling Mastery: Learn how to effectively crawl news websites and gather article text to feed into our Q&A system.
• 🧠 Embedding Insights: Dive deep into the world of machine learning embeddings to transform raw text data into a form that our AI can understand.
• 🔨 Text Tokenization Techniques: Utilize tokenizers, like tiktoken, to split text into meaningful sequences for processing by our model.
• ⚗️ Cosine Similarity Calculations: Apply cosine similarity to compare embeddings and identify which one is most relevant to the user's question.
• 💬 OpenAI Text Completion: Engage with OpenAI's text completion API endpoint to generate informative and contextually accurate answer responses.

What You'll Learn:

• NodeJS: Gain proficiency in using NodeJS as the backbone of our application.
• OpenAI Text Completion: Explore how to leverage OpenAI's endpoint to produce text completions based on prompts.
• OpenAI Embedding: Understand and implement embeddings from OpenAI to represent text data effectively.
• Tokenizer (tiktoken): Learn how to use tiktoken for processing text into tokens that can be handled by our system.
• Cosine Similarity: Discover how to calculate cosine similarity between different sets of text embeddings to find the closest match to user queries.
• Web Crawler (Puppeteer): Master web crawling with Puppeteer to fetch news articles for our bot to analyze.

What You'll Build: Throughout this course, you will work on a project that culminates in the creation of an AI-powered Q&A bot capable of understanding and responding to questions about events mentioned in the latest news articles. This project will not only solidify your understanding but also demonstrate the practical applications of the concepts learned.

By the end of this course, you'll be equipped with the knowledge to build a real-world AI application that can dynamically answer questions based on current events, powered by the cutting-edge capabilities of OpenAI and ChatGPT through text embeddings. 🚀🧠🤖

Join us now and embark on this exciting journey into the realm of generative AI. Let's turn your curiosity into mastery with this transformative course! 🎉✨