Remove Explainability Remove OpenAI Remove Prompt Engineering
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The Essential Guide to Prompt Engineering in ChatGPT

Unite.AI

The secret sauce to ChatGPT's impressive performance and versatility lies in an art subtly nestled within its programming – prompt engineering. Google's announcement of Bard and Meta's Lamma 2 response to OpenAI's ChatGPT has significantly amplified the momentum of the AI race. What is Prompt Engineering?

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OpenAI’s Prompt Engineering Guide: Mastering ChatGPT for Advanced Applications

Unite.AI

Understanding Prompt Engineering Prompt engineering is the art and science of crafting inputs (prompts) to get desired outputs from AI models like ChatGPT. ChatGPT, built upon OpenAI's GPT-3 and GPT-4 architectures, has advanced significantly, becoming more responsive and context-aware.

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ChatGPT & Advanced Prompt Engineering: Driving the AI Evolution

Unite.AI

OpenAI has been instrumental in developing revolutionary tools like the OpenAI Gym, designed for training reinforcement algorithms, and GPT-n models. One such model that has garnered considerable attention is OpenAI's ChatGPT , a shining exemplar in the realm of Large Language Models.

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Prompt Engineering Is Slowly Dying

Artificial Corner

Pixabay OpenAI just released a new model and I have more reasons to believe that learning prompt engineering is becoming less relevant. I’m not saying prompt engineering is already dead (later in this article I explain why) but things have changed since OpenAI released ChatGPT in 2022.

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How to Use Prompt Engineering in ChatGPT? Key Insights and Tips

Marktechpost

Large Language Models (LLMs) are now a crucial component of innovation, with ChatGPT being one of the most popular ones developed by OpenAI. However, to get the best results from ChatGPT, one must master the art of prompt engineering. How to craft Effective Prompts? Tweaking Details: Precision in detail is key to utility.

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Prompt Engineering

Heartbeat

At this point, a new concept emerged: “Prompt Engineering.” What is Prompt Engineering? Just two months after OpenAI introduced ChatGPT, the number of monthly users reached 100 million, a remarkable feat! The output produced by language models varies significantly with the prompt served.

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AI’s Got Some Explaining to Do

Towards AI

Yet, for all their sophistication, they often can’t explain their choices — this lack of transparency isn’t just frustrating — it’s increasingly problematic as AI becomes more integrated into critical areas of our lives. Enter Explainable AI (XAI), a field dedicated to making AI’s decision-making process more transparent and understandable.