Author: Wahidur Rahman
Originally published in the direction of artificial intelligence.
Organizing intelligence with the language: rising craftsmanship of fast engineering
Imagine that Mozart had to compose the symphonies, whispering crushed melodies in the piano until he played the right melody. This is how fast engineering feels in the era of generative artificial intelligence. Once a vague skill reserved for tinkering researchers from GPT-2, exploded into critical discipline-“programming language” of artificial intelligence.
The rates are high. A well -made prompt can change chatgpt into a virtual doctor who diagnoses rare conditions, a lawyer developing tight contracts or a poet driving Sylvia Plath. But a poorly formulated hint? It can bring gibberish, prejudice or worse – dangerous hallucinations.
In this deep diving, we will solve the art and learning of fast engineering, from fundamental techniques, such as thoughts, to the most modern strategies, such as tree optimization and DSPY optimization. Regardless of whether you are an engineer, writer or AI enthusiast, you will leave with useful insights to use these tools – it does not require coding.
Formal definition: Fast engineering is systematic design and optimization of instructions (prompts) for directing AI generative models towards the desired results, often without refining the model itself.
Intuitive definition: it's like being a conductor of the neuron orchestra. You don't play instruments, … read a full blog for free on the medium.
Published via AI
