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Create custom ChatGPT models (GPTs) in 5 easy steps! Personalize learning, optimize workflows, and enhance customer experiences.
Learn how temperature in prompt engineering influences the creativity & predictability of GPT-4's outputs with practical tips and more.
Few-shot prompting is an AI strategy that uses minimal examples to guide tasks effectively. This article covers its concept & applications.
One-shot prompting in machine learning guides AI with a single example to improve task accuracy, offering resource efficiency and more.
Learn to build AI Agents using "Tool Use" - Understand the phases of GPT model development and see how integrating external tools and more.
Learn all about zero-shot prompting - how it works, what its applications are, and what are the advantages and challenges of using it.
Learn to create a LangChain Chatbot with conversation memory, customizable prompts, and chat history management.
Explore how AI & creative design in prompt engineering revolutionize game development by generating content, & refining stories.
Learn to implement LLM observability in RAG applications with minimal code, optimizing performance and managing API costs effectively.
ChatGPT's decoder-only architecture pioneers conversational AI, leveraging self-attention for efficiency and relevant text generation.
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