From 2ee37f032cc3e800de5789da9bb90c8c073bf055 Mon Sep 17 00:00:00 2001
From: Vyomakesh Dundigalla <54256947+vyomakesh09@users.noreply.github.com>
Date: Wed, 1 Nov 2023 17:02:40 +0000
Subject: [PATCH] Update cost_analysis.md

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 docs/cost_analysis.md | 11 -----------
 1 file changed, 11 deletions(-)

diff --git a/docs/cost_analysis.md b/docs/cost_analysis.md
index c8517c82..03ebcfaa 100644
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@@ -8,7 +8,6 @@
 4. Model Inference Infrastructure
 5. Deployment and Continual Maintenance
 6. Output Metrics: Blogs Generation Rates
-7. Conclusion
 
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@@ -98,14 +97,4 @@ To provide a sense of what an investment in autonomous agents can yield, we offe
 | Per Week  | 140             |
 | Per Month | 600             |
 
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-## 7. Conclusion
-
-Deploying autonomous agents is an investment that requires a deep understanding of various cost elements. From the time spent in designing system prompts to the infrastructure and continual maintenance, the expenses are multifaceted. By understanding these costs, organizations can make informed decisions that lead to successful deployments.
-
-Given that a well-implemented autonomous agent system can generate a significant amount of output, the investment could very well be worth it. However, planning is key, and a comprehensive understanding of the costs involved will provide a strong foundation for this exciting venture.
-
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-Note: The above document is a simplified example and the costs are hypothetical. Organizations would need to conduct a detailed cost analysis tailored to their specific needs.