Top Lightweight LLMs for Local Deployment
In this post, we’ll explore several top open-source lightweight LLMs and how to run them on a local Windows PC—whether CPU-only or with a limited GPU—for document processing tasks.
Deploying LLMs Locally: A Guide to Ollama and LM Studio
Whether you’re building a custom chatbot, agent, an AI-powered code assistant, or using AI to analyse documents offline, local deployment empowers you to experiment and innovate without relying on external services.
OpenAI vs. DeepSeek: A Technical Comparison Using Unified APIs
In this post, we conduct a comparative analysis of three popular LLMs—OpenAI’s GPT based models: 4o-mini and o3-mini, and open-source DeepSeek R1—to evaluate their effectiveness in reading and analyzing statistical data from large PDFs.
Assessing Retrieval-Augmented Generation (RAG) Large Language Models (LLMs) with DeepEval for Complex Tabular Data
This post explores how DeepEval helps systematically assess the effectiveness of both retrieval and generation components, ensuring more reliable machine-generated insights.
Running AI in client-side: Real-Time Face Detection in the Browser Using YOLO and TensorFlow.js – use case study
In this post, we’ll explore how to implement object detection directly in the browser using YOLO