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You Don't Have a Prompt Problem. You Have a Context Problem.
Manage episode 521787064 series 3474148
This story was originally published on HackerNoon at: https://hackernoon.com/you-dont-have-a-prompt-problem-you-have-a-context-problem.
Why LLMs collapse on email threads, recursive conversations, and unstructured communication—and what a context-first architecture looks like in practice.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #llms, #context-engineering, #api, #ai-api-usage, #ai-prompt-problem, #ai-context-problem, #ai-context-window, #hackernoon-top-story, and more.
This story was written by: @samkayze. Learn more about this writer by checking @samkayze's about page, and for more stories, please visit hackernoon.com.
Most AI failures aren't model failures, they're context failures. LLMs are powerful but fundamentally blind to decisions, relationships, history, and tone. The messiest data in any company (email, chat, docs) is where AI struggles most. We spent years building an engine that turns unstructured communication into structured intelligence. This article breaks down what makes this hard, why traditional methods fail, and how a context-first architecture actually works.
456集单集
Manage episode 521787064 series 3474148
This story was originally published on HackerNoon at: https://hackernoon.com/you-dont-have-a-prompt-problem-you-have-a-context-problem.
Why LLMs collapse on email threads, recursive conversations, and unstructured communication—and what a context-first architecture looks like in practice.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #llms, #context-engineering, #api, #ai-api-usage, #ai-prompt-problem, #ai-context-problem, #ai-context-window, #hackernoon-top-story, and more.
This story was written by: @samkayze. Learn more about this writer by checking @samkayze's about page, and for more stories, please visit hackernoon.com.
Most AI failures aren't model failures, they're context failures. LLMs are powerful but fundamentally blind to decisions, relationships, history, and tone. The messiest data in any company (email, chat, docs) is where AI struggles most. We spent years building an engine that turns unstructured communication into structured intelligence. This article breaks down what makes this hard, why traditional methods fail, and how a context-first architecture actually works.
456集单集
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