Large Language Model News & Updates

Arcee releases Trinity Mini and Trinity Nano Preview, two open-source AI models under Apache 2.0 license, aiming to regain U.S. control in open-source AI development.

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.

Nvidia and the University of Hong Kong release Orchestrator, an 8-billion-parameter model that coordinates tools and LLMs for complex problem-solving. This model outperforms larger models at a lower cost and improves efficiency.

Business ontologies help AI agents understand data meaning in context, avoiding hallucinations and errors in real-world applications. Effective agent solutions require an ontology-based single source of truth, defining business concepts and their relationships.

Claude Code now supports fine-tuning of open-source large language models (LLMs) using Hugging Face skills, enabling users to fine-tune models with ease and speed up the development process.

Data automation means letting technology handle repetitive, time-consuming data management tasks, and Zapier is a no-code AI orchestration platform that connects over 8,000 apps to integrate automated data workflows throughout a business.