Your central hub for AI news and updates on Rag. We're tracking the latest articles, discussions, tools, and videos from the last 7 days.
Fyra's Brief
Liquid AI releases a 51-page technical report detailing the architecture and training data behind its efficient on-device AI models, making them open-source for other organizations to use.
Liquid AI's open-source blueprint for efficient on-device AI models has the potential to change the way organizations approach AI development, making it more practical and efficient for a variety of tasks.
Fyra's Brief
University of Science and Technology researchers developed Agent-R1, a new reinforcement learning (RL) framework for large language models (LLMs) that addresses challenges in complex agentic tasks.
The Agent-R1 framework is a significant step forward in developing LLM agents capable of complex tasks, and it has the potential to improve the use of AI in real-world applications.
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Community talk
I spent 2 years building privacy-first local AI. My conclusion: Ingestion is the bottleneck, not the Model. (Showcase: Ollama + Docling RAG Kit)
RAG from Scratch is now live on GitHub