The rise of artificial intelligence and machine learning has led to the development of models that can process and generate human-like text. One of the most prominent in this domain is the Large Language Model (LLM) , such as OpenAI's GPT series and Google's Gemini series. For investors, understanding the intricacies of these models is essential, especially if they're looking to invest in AI-driven companies or technologies. One such intricacy is the concept of "temperatu

The world of finance has never been disconnected from mathematics and computational methods. As markets become more complex, the tools used to analyze them have also evolved. Machine learning, a subset of artificial intelligence, has rapidly made inroads into financial analysis. One of its foundational algorithms, Gradient Descent, stands at the core of many machine learning models including neural networks. Gradient Descent is an optimization algorithm used to minimize some

For many investors, the allure of buying a stock on the decline, commonly referred to as 'catching a falling knife', can be tempting. The...

In data-driven world, the need for high-quality datasets for modeling, training, and analytics has never been greater. As investors grapple with evolving markets, they are increasingly reliant on data to make informed decisions. Enter synthetic data, a potential game-changer that can redefine the landscape of data utilization in investing. This article is about synthetic data, exploring its relevance, creation, benefits, and potential concerns. What is Synthetic Data ? Synth

Neural networks have become an integral part of the modern technology landscape, driving advancements in areas such as image recognition, natural language processing, and even financial modeling. For investors looking to understand the inner workings of these models, one crucial element to grasp is the concept of weights. In this article, we'll look into what weights are, their significance in neural network architectures, and why they matter from an investment perspective. W

One of the most profound and counterintuitive pieces of investment wisdom comes from Charlie Munger, the vice chairman of Berkshire...

In today's digital age, vast amounts of data are generated every second. For investors and businesses alike, making sense of this data is critical. Enter the world of embeddings based retrieval — a powerful method to extract meaningful insights from data, especially text. In this article, we'll look into what embeddings based retrieval is, why it's relevant for investors, and provide concrete examples of its application. What is Embeddings Based Retrieval ? At its core, emb

Stanley Druckenmiller, one of the most successful hedge fund managers in history, once said, “It’s not whether you're right or wrong...