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What are the Large Language Models ? An LLM, or Large Language Model, is a type of artificial intelligence (AI) algorithm that uses deep learning techniques and massively large datasets…
Large Language Models have taken world by storm, open access to LLMs is needed by the humanity in order to take full advantage of these for development of cutting edge…
The article discusses the concepts of designing and building a custom GPU workstation for basic deep learning tasks such as training/fine-tuning LLMs. It highlights the importance of having CUDA and…
Achieving Artificial General Intelligence (AGI) is a complex and challenging task that requires significant advancements in several fields of research, including machine learning, computer science, neuroscience, psychology, and philosophy.
Introduction It is important to understand the difference between ChatGPT, ChatGPT Plus and GPT-3 because they use different variants of the same underlying language model, GPT (Generative Pre-trained Transformer). While…
In this code example, we will apply a convolutional neural networks(CNN) to textual data. More specifically, we will use the structure of CNNs to classify text. Unlike images, which are…
Solving data science problems requires systematic thinking and approach, here's some of the key concepts and steps that you need to apply when trying to solve data science problems.
Deep learning is a field with intense computational requirements, and your choice of GPU will fundamentally determine your deep learning experience. As discussed previously a CPU is divided into multiple…
Data Scientists often turn to famous deep neural networks such as ALEXNET and LENET to gain inspiration for designing neural networks for real world problems.
One of the key reasons that we often use deep learning is because we need to extract features that would effectively solve a machine learning problem.