This article looks under the hood of deep learning and is perfect for any machine learning developers looking to understand the basics. We’ll show that deep learning can also be approached differently (and much more simply), using slightly more advanced (but not complicated) mathematics and functional programming.
The rise of large language models (LLMs) has transformed the landscape of artificial intelligence, enabling advanced text generation, and even the ability to write code. At the heart of these systems are foundation models built on transformer models and fine-tuned with vast amounts of data. Ollama offers a unique approach...
Embedding vectors (or embeddings) play a central role in the challenges of processing and interpretation of unstructured data such as text, images, or audio files. Embeddings take unstructured data and convert it to structured, no matter how complex, so they can be easily processed by software. OpenAI offers such embeddings,...