docs(README): add initial Prism model card with GIFT-Eval metrics

README.md

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+---
+tags:
+- Time Series Forecasting
+- Ensemble
+- Foundation Models
+- gift-eval
+model-index:
+  - name: Prism
+    results:
+      - task:
+          type: time-series-forecasting
+        dataset:
+          name: GIFT-Eval
+          type: GIFT-Eval
+        metrics:
+          - type: CRPS
+            value: 0.466
+            name: CRPS
+          - type: MASE
+            value: 0.680
+            name: MASE
+        source:
+          url: https://huggingface.co/spaces/Salesforce/GIFT-Eval
+          name: GIFT-Eval Time Series Forecasting Leaderboard
+---
+# Prism
+
+Prism is a leakage-free probabilistic forecasting ensemble developed by the Frontier Research and DeepTech Team at Birla AI Labs. Rather than training a new model, Prism combines the quantile outputs of several pretrained foundation models, learning how to blend them from a held-out validation window that never touches test data. The key insight is that different models have complementary strengths: learning a separate blend at each quantile level means the model best at the median does not have to be the model that covers the tails.
+
+Further details on the approach and results will be released in a future public report.
+
+## About Birla AI Labs
+
+Birla AI Labs is an applied AI company under the Office of Ananya Birla, Aditya Birla Group.
+
+For further information, contact us: [email ID](mailto:saurabh.deshpande-c@oab.adityabirla.com)
+
+Follow [Birla AI Labs on LinkedIn](https://www.linkedin.com/company/birla-ai-labs/posts/?feedView=all) for the latest updates on our offerings.