LLMs LLM Observability: Practices, Tools, and Trends 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.
AI-Powered Code Editors: Next Generation of Developer Productivity AI-powered code editors are changing software development by integrating generative AI to automate repetitive tasks, enhance code quality, and streamline workflows.
RAGs RAG vs Long-Context LLMs: Approaches for Real-World Applications 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 for Next-Generation Recommendation Systems 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.
SQL Prem-1B-SQL: Fully Local Performant SLM for Text to SQL Last week, we open-sourced PremSQL, a local first library that created customized Text-to-SQL solutions. When deploying RAG-based services (whether on documents or databases) for enterprises, it becomes crucial that the underlined data is not exposed to third-party APIs. With PremSQL, you can use our ready-made pipelines or customize and create
LLMs Multimodal LLMs: Architecture, Techniques, and Use Cases 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 Featured Lyra Drake's Public Debut at Art Basel 2024 – A New Frontier in AI and Art 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.
Introducing Prem-1B Prem AI introduces Prem-1B, an open-source Small Language Model built for Retrieval-Augmented Generation (RAG) tasks. Based on a decoder-only transformer architecture, it supports up to 8192 tokens. The model is available on Hugging Face under Apache 2.0.
Open Source Release: Ayup: Facing the Deployment Nightmare 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 Are Open-Source Models Good Now? 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
LLMs How LLMs Are Transforming OCR for the Next Generation 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 Advanced RAG Methods: Simple, Hybrid, Agentic, Graph Explained 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.
AI Agents Beginners Guide AI agents are autonomous systems that perceive environments, make decisions, and learn over time. They range from simple reflex agents to advanced generative models. With applications in automation, creativity, and strategy, they enhance efficiency but face challenges like bias and data privacy
Anybody can be a Solopreneur in 2024, thanks to Generative AI Generative AI empowers solopreneurs to launch and scale businesses with unprecedented speed and creativity, breaking barriers like coding expertise or capital needs. By leveraging AI tools, individuals can ideate, iterate, and execute efficiently, turning solo ventures into agile enterprises.
Prem Articles Transformer Inference: Techniques for Faster AI Models Transformer inference powers tasks in NLP and vision, but is computationally intense, requiring optimizations. Large models like GPT-3 need extensive memory and FLOPs, with techniques like KV caching, quantization, and parallelism reducing costs.
News Devin: accelerating developers but not replacing them AI tools like GitHub Copilot and Devin enhance developer productivity by automating repetitive tasks and offering coding assistance. However, they fall short in creativity, contextual understanding, and complex decision-making, ensuring developers remain indispensable.
Prem Articles Open-Source Code Language Models: DeepSeek, Qwen, and Beyond Open-source CodeLLMs like DeepSeek-Coder and Qwen2.5-Coder revolutionize code intelligence by offering repository-level training, multilingual support, and advanced features. These models rival proprietary solutions, fostering transparency, collaboration, and customization.
News Generative AI Adoption: Industry Impact, Challenges, and Future Trends Generative AI is revolutionizing industries, reshaping how businesses operate and innovate. With rapid adoption and increased investments, organisations are leveraging AI for tasks like content creation, customer support, and software development.
Prem Articles Chunking Strategies in Retrieval-Augmented Generation (RAG) Systems Chunking enhances Retrieval-Augmented Generation (RAG) by splitting large texts into manageable parts for efficient processing in language models. This technique supports accurate responses, maintains context, and enables fast, parallel processing.
Function Calling vs. NLU: the Real Power of Chatbots Function calling is seen as revolutionary in chatbots, enhancing real-time capabilities. However, older NLU + Core bots handled many use cases effectively. This article explores the evolution of chatbots, weighing the hype of function calling against the proven efficiency of traditional methods.
Prem Articles AI Sustainability: Reducing Carbon Footprint and Driving Innovation As AI technology expands, so does its carbon footprint. This underscores the challenge: while AI accelerates digital transformation, it risks becoming a significant contributor to global CO₂ emissions.
Prem Articles Generative AI Integration for Web Developers Generative AI offers new opportunities in content creation, but challenges like model selection and data complexity hinder developers. This article explores these issues and introduces Prem AI, a platform designed to simplify AI integration.
LLMs State of Text2SQL 2024 Text to SQL is a task that aims to convert natural language questions into corresponding SQL queries that can be executed in relational databases. Interestingly, this problem statement has been through research before the rise of Large Language Models.
News Announcing our $14M Strategic Seed Round Prem has secured a $14M strategic seed round to expand its AI ecosystem. With backing from investors like David Maisel, Prem aims to empower businesses with generative AI while ensuring data ownership. Key offerings include the Prem Platform and Autonomous Fine-tuning Agent for custom AI models.
Introducing Prem-Operator, An Open-Source Kubernetes Operator for AI/ML Today, we are excited to announce the open-source release of the “Prem-Operator,” A Kubernetes operator that eases the deployment of AI and ML workloads, with an initial focus on inference. The launch of the Prem Operator marks a major advancement in our goal to provide AI that you can fully
