Are you considering training a Large Language Model (LLM) from scratch? Think again! According to a recent Medium post, training an LLM requires significant resources, including powerful GPUs, large amounts of high-quality data, and robust infrastructure. The author uses GPT-4 as an example, highlighting the estimated $375 million cost of training the model on 25,000 Nvidia A100 GPUs running for 90-100 days non-stop. Additionally, the post emphasizes the importance of diverse and representative data, as well as the need for optimization techniques to handle computations efficiently.

Source: https://dev.to/iamtechonda/why-you-shouldnt-train-your-llm-from-scratch-2jb1