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Stop Tuning Prompts. Start Engineering Context.
Most people think better AI results come from better prompts.
That’s only part of the story.
Large language models don’t reason in isolation.
They reason within a bounded context window—shaped by instructions, examples, memory, retrieved data, and tools.
If the context is weak, the output is weak—no matter how powerful the model is.
That’s why techniques like RAG, agents, and tool‑calling work.
They don’t make models smarter.
They systematically construct high‑quality context: structured, relevant, and minimal.
This isn’t prompt hacking.
It’s systems engineering.
If your AI system feels unreliable, stop tuning prompts—and start designing context pipelines.
#AI #LLM #ContextEngineering #PromptEngineering #RAG
#ArtificialIntelligence #MachineLearning #genai
Видео Stop Tuning Prompts. Start Engineering Context. канала STREAMP
That’s only part of the story.
Large language models don’t reason in isolation.
They reason within a bounded context window—shaped by instructions, examples, memory, retrieved data, and tools.
If the context is weak, the output is weak—no matter how powerful the model is.
That’s why techniques like RAG, agents, and tool‑calling work.
They don’t make models smarter.
They systematically construct high‑quality context: structured, relevant, and minimal.
This isn’t prompt hacking.
It’s systems engineering.
If your AI system feels unreliable, stop tuning prompts—and start designing context pipelines.
#AI #LLM #ContextEngineering #PromptEngineering #RAG
#ArtificialIntelligence #MachineLearning #genai
Видео Stop Tuning Prompts. Start Engineering Context. канала STREAMP
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7 апреля 2026 г. 11:50:31
00:00:54
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