29,99 €
29,99 €
inkl. MwSt.
Sofort per Download lieferbar
0 °P sammeln
29,99 €
Als Download kaufen
29,99 €
inkl. MwSt.
Sofort per Download lieferbar
0 °P sammeln
Jetzt verschenken
Alle Infos zum eBook verschenken
29,99 €
inkl. MwSt.
Sofort per Download lieferbar
Alle Infos zum eBook verschenken
0 °P sammeln
Andere Kunden interessierten sich auch für
![Mastering AI Prompts with Context and Memory (eBook, ePUB)]( "Mastering AI Prompts with Context and Memory (eBook, ePUB)")
Mastering AI Prompts with Context and Memory (eBook, ePUB)4,49 €![Context-Aware Computing and Self-Managing Systems (eBook, ePUB)]( "Context-Aware Computing and Self-Managing Systems (eBook, ePUB)")
Context-Aware Computing and Self-Managing Systems (eBook, ePUB)60,95 €![Model Context Protocol: The New Standard for AI Integrations? (eBook, ePUB)]( "Model Context Protocol: The New Standard for AI Integrations? (eBook, ePUB)")
Model Context Protocol: The New Standard for AI Integrations? (eBook, ePUB)3,49 €![Fuzzy Automata and Languages (eBook, ePUB)]( "Fuzzy Automata and Languages (eBook, ePUB)")
Fuzzy Automata and Languages (eBook, ePUB)62,95 €![Cybersecurity in Context (eBook, ePUB)]( "Cybersecurity in Context (eBook, ePUB)")
Cybersecurity in Context (eBook, ePUB)70,99 €![Generic and Energy-Efficient Context-Aware Mobile Sensing (eBook, ePUB)]( "Generic and Energy-Efficient Context-Aware Mobile Sensing (eBook, ePUB)")
Generic and Energy-Efficient Context-Aware Mobile Sensing (eBook, ePUB)62,95 €![Computational Context (eBook, ePUB)]( "Computational Context (eBook, ePUB)")
Computational Context (eBook, ePUB)51,95 €
This book introduces Context Engineering - the practice of designing the information environment in which an AI system operates. Unlike Prompt Engineering, which focuses on crafting clever instructions, context engineering addresses the deeper questions:
What information should the model see?
How should that information be structured?
How can retrieval, summarization, and memory be orchestrated into a pipeline?
How can human feedback and domain knowledge shape more reliable outputs?
What information should the model see?
How should that information be structured?
How can retrieval, summarization, and memory be orchestrated into a pipeline?
How can human feedback and domain knowledge shape more reliable outputs?
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, CY, CZ, D, DK, EW, E, FIN, F, GR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.