LLMs
sari and
LLMs
LLMs are mid. It does a good job at getting the average and this is useful in many areas where this is tough. When you want "good", LLMs let you down. We underestimate the impact doing things to a "mid" level will have on the world.
"the best use case of LLMs is bullshit"
“A more practical answer is that it’s a file. This right here is a large language model, called Vicuna 7B. It’s a 4.2 gigabyte file on my computer. If you open the file, it’s just numbers. These things are giant binary blobs of numbers…”
Simon Willison, attempting to explain LLM
Weird GPT token for Reddit user davidjl123, “a keen member of the /r/counting subreddit. He’s posted incremented numbers there well over 163,000 times. Presumably that subreddit ended up in the training data used to create the tokenizer used by GPT-2, and since that particular username showed up hundreds of thousands of times it ended up getting
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docs.google.comGitHub - transformerlab/transformerlab-app: Open Source Application for Advanced LLM Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.
github.com