From a9a71db3027d957d756a8f81b2f0b30e35068813 Mon Sep 17 00:00:00 2001 From: Doug Sillars Date: Sun, 25 Aug 2024 19:26:26 -0400 Subject: [PATCH 1/2] Update subnets.json Update 15 to unknown and rebranded 33 to conversation genome --- src/subnets.json | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/src/subnets.json b/src/subnets.json index ea94a028..b624f12a 100644 --- a/src/subnets.json +++ b/src/subnets.json @@ -75,8 +75,8 @@ "description": "" }, "15": { - "name": "Blockchain Insights", - "github": "https://github.com/blockchain-insights/blockchain-data-subnet", + "name": "Unknown", + "github": "", "description": "" }, "16": { @@ -165,9 +165,9 @@ "description": "" }, "33": { - "name": "Conversation Genome", + "name": "ReadyAI", "github": "https://github.com/afterpartyai/bittensor-conversation-genome-project", - "description": "The Conversation Genome Project (conversations.xyz) enables structured data processing at scale to decentralize access to personalized AI." + "description": "ReadyAI (readyai.ai) enables structured data processing at scale, democratizing access to the valuable digital commodity of structured data – the key ingredient for high quality fine tuned models and RAG solutions." }, "34": { "name": "BitMind", From 3f530a4e0f1edcb707801fb9bcb705d181acee44 Mon Sep 17 00:00:00 2001 From: Doug Sillars Date: Tue, 27 Aug 2024 10:17:23 -0400 Subject: [PATCH 2/2] Update subnets.json SN 15 --- src/subnets.json | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/src/subnets.json b/src/subnets.json index b624f12a..6c681c3d 100644 --- a/src/subnets.json +++ b/src/subnets.json @@ -75,9 +75,9 @@ "description": "" }, "15": { - "name": "Unknown", - "github": "", - "description": "" + "name": "de_val", + "github": "https://github.com/deval-core/De-Val", + "description": "de_val sets the new benchmark for AI excellence, offering a decentralized evaluation platform designed to enhance LLM performance with unmatched quality. With de_val, you can rigorously test your AI models throughout the ML ops pipeline (offline testing, A/B testing, and continuous monitoring), measuring hallucinations, misattributions, relevancy, and summarization comprehensiveness, so you can understand your outputs at scale and deploy with confidence." }, "16": { "name": "BitAds",