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Author: Martyna Mul

Author: Martyna Mul

LLM Implementation and Maintenance Costs for Businesses: A Detailed Breakdown

LLM Implementation and Maintenance Costs for Businesses: A Detailed Breakdown

In this post we discuss the types of costs associated with using dedicated LLMs and present example calculations for popular models (such as GPT-4, Claude, Mistral, LLaMA, etc.), including business use case scenarios.

Martyna Mul 05/14/2025 05/16/2025 Blog / Company
Continue reading"LLM Implementation and Maintenance Costs for Businesses: A Detailed Breakdown"
AI User Privacy: An Analysis of Platform Policies

AI User Privacy: An Analysis of Platform Policies

In this article, we’ll break down the data privacy policies of top AI platforms. You will also learn what to do to ensure your data is not used for training Large Language Models (LLM).

Martyna Mul 04/30/2025 04/30/2025 AI / Company
Continue reading"AI User Privacy: An Analysis of Platform Policies"
Top Lightweight LLMs for Local Deployment

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.

Martyna Mul 04/17/2025 04/17/2025 AI / Blog / Company
Continue reading"Top Lightweight LLMs for Local Deployment"
Deploying LLMs Locally: A Guide to Ollama and LM Studio

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.

Martyna Mul 04/04/2025 04/04/2025 AI / Blog / Company
Continue reading"Deploying LLMs Locally: A Guide to Ollama and LM Studio"
OpenAI vs. DeepSeek: A Technical Comparison Using Unified APIs

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.

Martyna Mul 03/14/2025 03/14/2025 AI / Blog / Company
Continue reading"OpenAI vs. DeepSeek: A Technical Comparison Using Unified APIs"
Assessing Retrieval-Augmented Generation (RAG) Large Language Models (LLMs) with DeepEval for Complex Tabular Data

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.

Martyna Mul 02/04/2025 02/14/2025 Company
Continue reading"Assessing Retrieval-Augmented Generation (RAG) Large Language Models (LLMs) with DeepEval for Complex Tabular Data"
Running AI in client-side: Real-Time Face Detection in the Browser Using YOLO and TensorFlow.js – use case study

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

Martyna Mul 10/09/2024 02/14/2025 Company
Continue reading"Running AI in client-side: Real-Time Face Detection in the Browser Using YOLO and TensorFlow.js – use case study"

 

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