#llm
Llm: 36 AI articles covering llm news, analysis, and research
Articles
Astrolab's Lunar Rover to Run First LLMs on the Moonโญ8
Astrolab's Flex rover will be the first spacecraft to run large language models on the moon, testing AI autonomy for future space missions.
Google Open-Sources Harnessยฒ: A Recursive Agent-Harnessingโญ8
Google open-sources Harnessยฒ, a recursive agent-harnessing framework that optimizes eight editable harness components around a frozen modelโno retraining needed...
Facebook Will Let You Customize Your Feed Algorithm Using AIโญ9
Meta brings Instagram's "Your Algorithm" to Facebook, letting users customize their feed while expanding LLM-driven content ranking for smarter personalization.
Create Scalable AI Automations with n8nโญ8
Learn to build scalable, production-ready AI automations with n8n. This free course covers REST APIs, LLM pipelines, autonomous agents, and multi-agent systems.
Build and Train a 25M Parameter LLM From Scratch on Your CPUโญ8
Build and train a 25M parameter LLM from scratch on your CPU. This freeCodeCamp tutorial covers pre-training, RL fine-tuning, MoE, and modern AI research workfl...
Zero-Shot Visualization: Exploring Text Corpora with Userโญ9
Explore zero-shot visualization with LLMs to map text corpora onto user-prompted concept axes, comparing scoring methods for semantic faithfulness, fidelity, an...
The Story of Qwen: Alibaba's AI Models From 7B to 2.4Tโญ7
From a 7B chatbot in 2023 to open-weight models with 2.4 trillion parameters, here's the story of how Alibaba's Qwen family evolved release by release.
Inside SeaHack: 24 Hours to Build an AI Startupโญ8
Watch our documentary on SeaHack, a 24-hour Hong Kong hackathon where 250+ developers built AI startups from scratch. See standout projects and expert insights.
How to Build a GraphRAG System with Python, Neo4j, and ServiceNowโญ8
Build a GraphRAG system with Python, Neo4j, and ServiceNow: load 11,891 CIs and 68,900 tickets, then benchmark eight retrieval methods for accurate AI answers.
Automating QUBO Formulation Generation from Natural Languageโญ8
A multi-agent framework automatically converts natural-language problem descriptions into QUBO formulations, achieving 68% accuracy on the new QUBOBench benchma...