This course teaches participants how to build an AI assistant using OpenAI’s GPT technology, HuggingFace, and Streamlit. Gain insights into foundational concepts such as Large Language Models (LLM), Prompt Engineering, and Semantic Search.
Key Skills You Will Acquire
- AI chatbot development: Learn to create a fully functional AI chatbot that engages users in meaningful conversations and provides accurate responses tailored to their queries, enhancing user satisfaction.
- Prompt engineering techniques: Master the art of crafting effective prompts that enhance the performance of your AI models, significantly improving user interaction and satisfaction in various applications.
- Receiver Augmented Generation: Explore RAG for Question Answering, understanding its use cases, challenges, and how to implement it effectively in your applications for better results and user engagement.
- Finetuning GPT models: Discover best practices for finetuning GPT models, troubleshooting OpenAI APIs, and ensuring optimal performance in your AI solutions for real-world applications and scenarios.
By completing this course, you will be equipped with the skills to create and deploy your first AI application using OpenAI’s technology, along with a solid theoretical understanding of the underlying concepts.
Who This Course Is For
- Students with a basic understanding of Python and Pandas who want to expand their skills in AI and chatbot development.
- Developers interested in integrating AI technologies into their applications and enhancing user experiences through conversational interfaces.
- Data scientists looking to explore advanced techniques in natural language processing and machine learning using OpenAI’s GPT technology.
File Details
Total Size: 2.2GB
How to Get Your Files:
– Enter your email address in the "Message" field at checkout.
– Your Google Drive access link will be emailed immediately after payment confirmation.
– Enjoy Lifetime Access to stream or download your files.
Important Notice:
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