Small Models, Big Wins: Agentic AI in Enterprise Explained

Prem Studio breaks down NVIDIA’s latest research, showing how Small Language Models match or surpass large ones, delivering faster, cheaper, and more efficient AI for enterprise workflows.

LLM Reliability: Why Evaluation Matters & How to Master It

Prem Studio redefines AI evaluation with agentic rubrics, transparent, scalable, and domain-specific checks that ensure LLMs are production-ready.

Prem Studio: Build Specialized Artificial Intelligence

Prem Studio by Prem AI lets enterprises build secure, compliant AI on their own data. With automated datasets, fine-tuning, evaluation, and deployment, it delivers fast, cost-efficient Specialized Reasoning Models (SRMs) for true AI sovereignty.

Small Language Models (SLMs) for Efficient Edge Deployment

Small Language Models (SLMs) deployed on edge devices overcome cloud dependency by reducing latency, bandwidth, and privacy risks. Explores quantization, pruning, model optimization, and efficient inference for edge computing and energy efficiency.

How to Succeed with Custom Reasoning Models?

Custom reasoning models enable multi-step reasoning beyond LLMs. Learn how PremAI helps enterprises build scalable, explainable, high-performance AI.

SLM vs LoRA LLM: Edge Deployment and Fine-Tuning Compared

Fine-tuning is critical for adapting language models to real-world tasks. This blog compares SLM full fine-tuning with LoRA for LLMs, highlighting strengths, challenges, and edge deployment strategies. Learn how PremAI enables efficient, scalable, and enterprise-ready AI solutions.

DeepSeek R1: Open Source Driving the Future of Enterprise AI

DeepSeek R1 proves open source can rival proprietary AI, aligning with PremAI’s mission to build sovereign, censorship-resistant systems. From model distillation to agentic workflows, PremAI empowers enterprises to own, fine-tune, and scale AI securely while advancing open innovation.

PremAI Autonomous Fine-tuning System: Technical Architecture Documentation

The Prem AI Autonomous Fine-Tuning System optimizes Small Language Model (SLM) fine-tuning with automated data augmentation, distributed training, and LLM-based evaluation. It minimises manual effort through multi-agent orchestration, hierarchical task classification, and active learning loops.

PREM and AWS Join Forces

PREM and AWS have joined forces to deliver an accelerated Generative AI developer experience on both AWS and the PREM platform. To kick off this milestone, PREM co-organized a GenAI Hackathon with AWS in Barcelona, where AWS's ProServe team collaborated with PREM's team to tackle complex

Chatbots vs AI Agents – Which is Right for Your Business?

Customer support has evolved from simple chatbots to AI agents that manage context, automate tasks, and assist in real time. This blog compares chatbots, LLM chatbots, and AI agents to help businesses choose the right solution for smarter, scalable support with PremAI