Prompt Engineering


The AI Communication Handbook: A Complete Guide to Mastering Prompting for Everyone
AI Contexting: Making Use of Artificial Intelligence
Prompt Engineering for Beginners
AI Prompt Engineering Bible (7 Books in 1): Beginner-to-Pro System to Master ChatGPT and Generative AI for Powerful Results and Real Income (The Generative AI Creator Series)
Building Applications with AI Agents: Designing and Implementing Multiagent Systems
Generative AI System Design Interview
LLMs in Production: From language models to successful products
The Art of Prompt Engineering with ChatGPT: Accessible Edition (Learn AI Tools the Fun Way! Book 2)
Programming Large Language Models with Azure Open AI: Conversational programming and prompt engineering with LLMs (Developer Reference)
AI Engineering: Building Applications with Foundation Models
LLM Engineer's Handbook: Master the art of engineering large language models from concept to production
Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG
Building Data-Driven Applications with LlamaIndex: A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications
Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph
Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs
Olawale Daniel
In the wake of the generative content era, using AI to generate content for clients may seem convenient, but it is not a sustainable long-term strategy. Clients can easily access similar AI tools themselves. Instead, focus on leveraging artificial intelligence to enhance your creativity, streamline processes, and provide personalized value to your clients. With this, you are several yards ahead of the packs out there and your result will be massive.
Olawale Daniel

Raheel Farooq
AI is to be told what to do, not asked.
Raheel Farooq

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