Building MCP with LLMs - Model Context Protocol
https://modelcontextprotocol.io/tutorials/building-mcp-with-llms
https://modelcontextprotocol.io/tutorials/building-mcp-with-llms
Model Context Protocol
Building MCP with LLMs - Model Context Protocol
Speed up your MCP development using LLMs such as Claude!
GRPO Judge Experiments: Findings & Empirical Observations | kalomaze's kalomazing blog
https://kalomaze.bearblog.dev/grpo-judge-experiments-findings-and-empirical-observations/
https://kalomaze.bearblog.dev/grpo-judge-experiments-findings-and-empirical-observations/
kalomaze's kalomazing blog
GRPO Judge Experiments: Findings & Empirical Observations
Many GRPO reproductions for LLM reinforcement learning available online lack useful intuitions or recommendations regarding hyperparameters and reward shapi...
BioAgents: Accelerating Decentralized Science with AI Agents β’ BIO Resources
https://www.bio.xyz/blog-posts/bioagents-pioneering-decentralized-science-with-ai-agents
https://www.bio.xyz/blog-posts/bioagents-pioneering-decentralized-science-with-ai-agents
www.bio.xyz
BioAgents: Accelerating Decentralized Science with AI Agents β’ BIO Resources
We saw how AlphaFold revolutionized protein prediction with millions of volunteer compute hours. Imagine that same global collaboration incentivized via cryptoeconomics. At Bio Protocol, weβre driving this change with a decentralized fleet of BioAgents toβ¦
MCP Plugin Development Protocol | Cline
https://docs.cline.bot/mcp-servers/mcp-server-from-scratch
https://docs.cline.bot/mcp-servers/mcp-server-from-scratch
+---------------------+
| MCP Tool Interface |
+---------------------+
| Telegram API Bridge |
+---------------------+
| MTProto Controller |
+---------------------+
| Session Manager |
+---------------------+
| Cryptography Core |
+---------------------+
| Transport Adaptors |
+---------------------+Qodo/Qodo-Embed-1-1.5B Β· Hugging Face
https://huggingface.co/Qodo/Qodo-Embed-1-1.5B
https://huggingface.co/Qodo/Qodo-Embed-1-1.5B
[2502.17125] LettuceDetect: A Hallucination Detection Framework for RAG Applications
https://arxiv.org/abs/2502.17125
https://arxiv.org/abs/2502.17125
arXiv.org
LettuceDetect: A Hallucination Detection Framework for RAG Applications
Retrieval Augmented Generation (RAG) systems remain vulnerable to hallucinated answers despite incorporating external knowledge sources. We present LettuceDetect a framework that addresses two...
[2502.13025] Agentic Deep Graph Reasoning Yields Self-Organizing Knowledge Networks
https://arxiv.org/abs/2502.13025
https://arxiv.org/abs/2502.13025
arXiv.org
Agentic Deep Graph Reasoning Yields Self-Organizing Knowledge Networks
We present an agentic, autonomous graph expansion framework that iteratively structures and refines knowledge in situ. Unlike conventional knowledge graph construction methods relying on static...
π‘ Remember Box pinned Β«[2502.13025] Agentic Deep Graph Reasoning Yields Self-Organizing Knowledge Networks https://arxiv.org/abs/2502.13025Β»