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@@ -16,3 +16,36 @@ docker run --rm \
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  -e ADAPTER_REPO=MightHubHumAI/FinC2E_Llama33_70B_Adapter \
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  -p 8000:8000 \
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  registry.huggingface.co/MightHubHumAI/FinC2E_DualMetrics_Runtime:latest
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  -e ADAPTER_REPO=MightHubHumAI/FinC2E_Llama33_70B_Adapter \
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  -p 8000:8000 \
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  registry.huggingface.co/MightHubHumAI/FinC2E_DualMetrics_Runtime:latest
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+ ## 3) LinkedIn objava (EN) – “Logical Continuation Launch”
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+ Evo gotove objave (sa završnom rečenicom o kvantnoj primjeni + link na FinC2E repo dan prije prodaje). Ne stavljam raw URL ovdje; stavi link kao običan LinkedIn hyperlink ili “Hugging Face: MightHubHumAI/FinC2E”.
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+ **Suggested headline + body:**
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+ **FinC2E — Dual-Metrics Runtime (Preview) is live.**
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+ Today we pushed a new container image that introduces a second measurement axis for AI systems:
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+ - **Runtime / model metrics**: health + startup telemetry + adapter pull timing
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+ - **Decision-system readiness**: the foundation for audit-friendly decision traces and governance-grade deployment
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+ This is the “logical continuation” of FinC2E-Governance: not just evaluating models, but evaluating **how a system behaves when it has to act**.
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+ **Preview runtime:** `FinC2E_DualMetrics_Runtime`
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+ **Gated adapter:** pulled securely at startup via HF token.
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+ As we approach release, the same dual-metrics philosophy extends beyond finance: **quantum-style optimization patterns (search, routing, scheduling, portfolio/logistics constraints) are broadly applicable across industries**—from RegTech and banking to supply chains, healthcare operations, energy, and defense-grade infrastructure.
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+ ➡️ **FinC2E model preview on Hugging Face:** *MightHubHumAI/FinC2E*
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+ #AI #RegTech #MLOps #Governance #NVIDIA #FinTech #DecisionIntelligence
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+ ---
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+ ## 4) Šta je naredni “upgrade” image (da bude Galaxy-ready)
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+ Kad god hoćeš, sljedeći image radimo ovako:
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+ - dodamo `/trace` endpoint (JSONL decision trace)
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+ - dodamo minimalni `/chat` endpoint (još bez vLLM ako želiš brzo)
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+ - ili odmah vLLM/TGI serving (ako želiš pravi inference)
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+ Samo mi reci: hoćeš li sljedeći image da bude **(A) Trace-first** ili **(B) Inference-first**?
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+ ::contentReference[oaicite:0]{index=0}