pyo hye (5 resultados)

Paperback. Condición: new. Pyo, Ji Hye Ilustrador. Paperback. - What This Book Is NOTNot a collection of prompt tricksNot a list of clever templatesNot another formatting or syntax guideNot a catalog of agent systems - What This Book IS AboutWhat it really means to manage risk as a prompt engineer in AI projectsHow prompt & context engineers should work in real production environmentsHow teams should collaborate with prompt & context engineersHow to approach agent architectureHow to design, evaluate, and refine promptsHow to design LLM training datasets from a prompt engineer's perspective - Introducing an Innovative Approach For Classifying Instruction DatasetsICIO - Instruction Classification by Input and Output RelationsSystematically analyze instructions based on input-output data relationshipsDesign high-quality, consistent training datasetsEvaluate model performance using standardized criteria - This Book Is ForPrompt engineers & context engineersProduct managersAI solution architectsAnyone building real AI products About the Author: This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New. Pyo, Ji Hye Ilustrador. Print on Demand.

PAP. Condición: New. Pyo, Ji Hye Ilustrador. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. Pyo, Ji Hye Ilustrador. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Pyo, Ji Hye Ilustrador. Paperback. - What This Book Is NOTNot a collection of prompt tricksNot a list of clever templatesNot another formatting or syntax guideNot a catalog of agent systems - What This Book IS AboutWhat it really means to manage risk as a prompt engineer in AI projectsHow prompt & context engineers should work in real production environmentsHow teams should collaborate with prompt & context engineersHow to approach agent architectureHow to design, evaluate, and refine promptsHow to design LLM training datasets from a prompt engineer's perspective - Introducing an Innovative Approach For Classifying Instruction DatasetsICIO - Instruction Classification by Input and Output RelationsSystematically analyze instructions based on input-output data relationshipsDesign high-quality, consistent training datasetsEvaluate model performance using standardized criteria - This Book Is ForPrompt engineers & context engineersProduct managersAI solution architectsAnyone building real AI products About the Author: This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.