Exploring the scaling challenges of transformer-based LLMs in efficiently processing large amounts of text, as well as potential solutions, such as RAG systems
Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single token …
This is a *really* good deep dive into AI - not just to understand the question begged by the headline, but with a history of how and why GPUs (like Nvidia products) are so essential. — https://arstechnica.com/...
Some confirmation of the exponential learning problem. Hint: this is why Tesla will never have autonomous driving. 🤔 “Compute costs scale with the square of the input size.” https://arstechnica.com/...