
Episode 26: Developing and Training LLMs From Scratch
Vanishing Gradients
Efficient Training for LLMs with Flexible Computing Options
Utilizing a CPU for normal coding tasks in applications like Visual Studio Code or Jupyter Notebooks can be cost-effective before switching to a Multi-GPU machine for training large language models. Platforms like Google Collab, though useful for prototyping, lack persistence and often require reinstallation of requirements. The Lightning AI studio offers a solution for effective problem-solving and training. Ultimately, the choice of using personal computers or specialized tools depends on the task at hand, with GPU availability being crucial for efficient training of large language models.
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