Harness Your Data’s Potential with Large Language Models (LLMs)

Fine-Tuning and RAG: Revolutionizing Business Data Accessibility In today’s data-rich environment, businesses and customers are often caught in the paradox of having too much information yet struggling to access and leverage it effectively. Large Language Models (LLMs), such as ChatGPT, BARD, LLAMA and others, are advanced AI models that can understand and generate human-like text. […]

Expertise Without Boundaries: Affordable AI and ML development

In the modern era, numerous startups tap into data potential and advanced computing. Our team at MLAIA Data Science Ltd utilizes science insights for growth. We aim to enhance our partners’ value. We help businesses save on manpower and costs. Our approach allows scaling of research teams as needed. We maintain valuable knowledge cost-effectively. Our […]

Unleashing the Power of Graphs for Machine Learning

Graph models are rapidly emerging as a powerful paradigm in the field of machine learning, offering a versatile and expressive structure for representing complex data. This white paper presents an overview of graph models, their applications in machine learning, and the challenges and future directions associated with their use.    Introduction Graphs are a natural […]

Supercharging Machine Learning Models with Classical Digital Signal Processing

At MLAIA Data Science, we have spent years in both industry and academia, developing a keen understanding of how classical digital signal processing techniques can significantly boost the performance of machine learning (ML) and AI models. Despite the influx of new algorithms and tools, we strongly advocate for the indispensable power of foundational techniques such […]

The Need for Model Interpretability: Methods and Benefits

As machine learning models become more complex and pervasive, understanding their predictions becomes crucial. This white paper discusses the need for model interpretability, common methods, and the benefits of interpretable models. We will explore scorecards, feature importance, simple models such as logistic and linear regression, and SHAP and LIME as interpretability tools.    Introduction  Model […]