w601sxs
/

b1ade-embed

@@ -2928,6 +2928,13 @@ The medRxiv paper, "A Scalable Framework for Benchmarking Embedding Models for C
 In the labor market context, the CEUR-WS paper demonstrates b1ade-embed's effectiveness in taxonomy enrichment. The paper states, "We evaluated the robustness of our system against a closed-world evaluation constructed using ESCO's hierarchy, achieving a 81% Positive Predictive Value (PPV) when combining all three models." This high accuracy demonstrates b1ade-embed's capability to capture nuanced semantic relationships in labor market terminology. Of course, no model can be 👑. There is a need to carefully evaluate task performance vs latency for your specific embedding task - STS, retrieval, clustering etc.
 ## Cite

 In the labor market context, the CEUR-WS paper demonstrates b1ade-embed's effectiveness in taxonomy enrichment. The paper states, "We evaluated the robustness of our system against a closed-world evaluation constructed using ESCO's hierarchy, achieving a 81% Positive Predictive Value (PPV) when combining all three models." This high accuracy demonstrates b1ade-embed's capability to capture nuanced semantic relationships in labor market terminology. Of course, no model can be 👑. There is a need to carefully evaluate task performance vs latency for your specific embedding task - STS, retrieval, clustering etc.
+Sources:
+- https://huggingface.co/spaces/mteb/leaderboard_legacy
+- https://medium.com/@elias.tarnaras/full-local-open-source-lightweight-simple-rag-a0a1de586209
+- https://www.medrxiv.org/content/10.1101/2024.08.14.24312010v1.full
+- https://ceur-ws.org/Vol-3914/short71.pdf
+- b1ade - Small RAG models collection - https://huggingface.co/collections/w601sxs/b1ade-6646958cb371ea244809c5ef
 ## Cite

README.md CHANGED Viewed

@@ -2928,6 +2928,13 @@ The medRxiv paper, "A Scalable Framework for Benchmarking Embedding Models for C
 In the labor market context, the CEUR-WS paper demonstrates b1ade-embed's effectiveness in taxonomy enrichment. The paper states, "We evaluated the robustness of our system against a closed-world evaluation constructed using ESCO's hierarchy, achieving a 81% Positive Predictive Value (PPV) when combining all three models." This high accuracy demonstrates b1ade-embed's capability to capture nuanced semantic relationships in labor market terminology. Of course, no model can be 👑. There is a need to carefully evaluate task performance vs latency for your specific embedding task - STS, retrieval, clustering etc.
 ## Cite

 In the labor market context, the CEUR-WS paper demonstrates b1ade-embed's effectiveness in taxonomy enrichment. The paper states, "We evaluated the robustness of our system against a closed-world evaluation constructed using ESCO's hierarchy, achieving a 81% Positive Predictive Value (PPV) when combining all three models." This high accuracy demonstrates b1ade-embed's capability to capture nuanced semantic relationships in labor market terminology. Of course, no model can be 👑. There is a need to carefully evaluate task performance vs latency for your specific embedding task - STS, retrieval, clustering etc.
+Sources:
+- https://huggingface.co/spaces/mteb/leaderboard_legacy
+- https://medium.com/@elias.tarnaras/full-local-open-source-lightweight-simple-rag-a0a1de586209
+- https://www.medrxiv.org/content/10.1101/2024.08.14.24312010v1.full
+- https://ceur-ws.org/Vol-3914/short71.pdf
+- b1ade - Small RAG models collection - https://huggingface.co/collections/w601sxs/b1ade-6646958cb371ea244809c5ef
 ## Cite