Joshua Alphonse - Prem AI

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Joshua Alphonse

Prem Studio: Build Specialized Artificial Intelligence

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.

No Code–Tool Calling on the Prem Platform

No Code–Tool Calling on the Prem Platform

Transform conventional chatbots into sophisticated AI assistants with Prem’s No Code–Tool Calling. This solution seamlessly integrates with services such as Slack, Google Calendar, and GitHub, automating scheduling, messaging, and data updates while eliminating complex coding and OAuth challenges.

Small Language Models (SLMs) for Efficient Edge Deployment

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?

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

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.

Enterprise AI Trends for 2025: What's Next for Businesses?

Enterprise AI Trends for 2025: What's Next for Businesses?

In 2025, enterprises will accelerate Edge AI adoption, leverage multimodal AI for enhanced analytics, and implement Multi-Agent Systems for efficient automation, emphasizing sustainability, governance, explainability, and workforce readiness in AI deployment strategies.

PremSQL Text-to-SQL benchmarking study cover

Evaluating LLMs for Text-to-SQL with PremSQL

PremAI’s PremSQL benchmarks GPT-4o, Claude, and Llama 3.1 on BirdBench for Text-to-SQL tasks. Explore execution accuracy, Valid Efficiency Score, and key insights into building efficient, reliable natural language to SQL pipelines powered by today’s leading LLMs.