LLMs
Explore LLM observability with this comprehensive guide. Understand metrics, logs, traces, and tools like Langfuse and SigNoz. Learn best practices, handle production challenges, and stay ahead with trends like multi-modal monitoring and AI-driven anomaly detection.
Dictionary & Showcase
AI-powered code editors are changing software development by integrating generative AI to automate repetitive tasks, enhance code quality, and streamline workflows.
RAGs
This article compares Retrieval-Augmented Generation (RAG) with Long-Context Large Language Models (LLMs) in managing extensive data and complex queries, highlighting key technical differences and applications.
LLMs
Large Language Models (LLMs) transform recommendation systems by addressing challenges like domain-specific limitations, cold-start issues, and explainability gaps. They enable personalized, explainable, and conversational recommendations through zero-shot learning and open-domain knowledge.
LLMs
Multimodal Large Language Models (LLMs) integrate diverse data types—text, images, audio, and video—into unified frameworks, enabling advanced applications like image captioning, document analysis, and healthcare solutions.
News
At Art Basel 2024 in Miami Beach, Lyra Drake, a groundbreaking multidisciplinary artist, debuts her first major exhibition, Infinite Faith in a Finite World. This exhibit marks a transformative moment in the intersection of art and technology, powered by PREM AI's innovative AI solutions.
News
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
So you are given some Python project which creates an API endpoint which does some AI/ML inference. You need to run this on your own infra, a cloud VM or whatever. What do you do?
LLMs
Open-source LLMs like Llama 3.1 and Prem-1B-SQL offer affordability, flexibility, and customization, rivaling closed-source models like GPT-4o in performance. With enhanced transparency and control, they are ideal for businesses seeking scalable and innovative AI solutions tailored to their needs
Machine learning and generative AI offer potential, but high costs and complexity challenge ROI. This article explores strategic integration to maximize value, with Prem AI providing the tools to bridge the gap.
LLMs
Large Language Models (LLMs) are transforming OCR systems by improving text recognition accuracy, enabling better multilingual support, and seamlessly integrating vision and language understanding to tackle complex tasks like scene text recognition and handwritten content.
RAGs
Discover Retrieval-Augmented Generation (RAG) methods: Simple RAG for basic tasks, Hybrid RAG combining retrieval techniques, AgenticRAG with modular multi-agent systems, and GraphRAG leveraging graph data. Each method offers unique strengths, tailored for tasks.
