Category: Neon AI

In the paper Merging Improves Self-Critique Against Jailbreak Attacks (PDF), the authors address how to make language models more resilient against adversarial jailbreak attempts like prompt manipulations intended to bypass a model’s safeguards. They present a method that merges the original model with a specialized critic model, enhancing its ability…

In From Fine-Tuning to Fusion: The Role of Agentic AI in Model Merging, the author explores how agentic AI systems can go beyond traditional fine-tuning by combining multiple specialized language models into a single, more capable whole. The article introduces the idea of model merging—not just blending models arbitrarily, but…

In News Classification by Fine-tuning Small Language Models, the author explains how Small Language Models (SLMs)—typically models under 10 billion parameters—offer an efficient, cost-effective alternative to larger models, particularly in resource-constrained settings. The article emphasizes how fine-tuning these compact models using techniques like parameter-efficient methods (e.g., LoRA) enables high performance…

In the blog post “Fine-Tuning & Small Language Models,” the author examines the shift from relying solely on large language models to adopting smaller, more efficient models tailored for specific tasks. Small Language Models (SLMs) can deliver high performance in targeted applications while consuming far fewer resources. The piece explains…

In the paper “Small Language Models are the Future of Agentic AI,” researchers from NVIDIA and Georgia Tech argue that while large language models (LLMs) excel at general conversational tasks, most agentic AI systems rely on models performing highly repetitive, narrowly defined tasks. Small Language Models (SLMs)—typically under 10 billion…

In “Small Language Models (SLMs) Are the Future of Agentic AI — Here’s Why,” Sambo Chea highlights a shift in how AI agents are being designed. Drawing from a comprehensive whitepaper by NVIDIA Research, the article argues that models with fewer than 10 billion parameters are not just adequate, but…

In the blog post “Why Agentic AI Tools and AI Agent Platforms Need Small Language Models (SLMs)”, Arcee.ai makes a compelling case for moving beyond massive, general purpose language models toward lighter, task-specific Small Language Models (SLMs). Agentic AI defined by its ability to independently plan, reason, and act thrives…