Meet Gopher: Big Thinking from Big Text
Researchers built a very large language system called Gopher to see what happens when computers read lots and lots of writing. As the models grew in scale, they got much better at simple tasks like answering questions and spotting wrong facts, but they did not always improve at tricky logic or math. The biggest wins were in reading and understanding, so tasks like reading comprehension and fact-checking improved a lot. The model also got better at finding hurtful or hateful speech, yet it still can be biased, and that worry about bias stays real. People are thinking how to use these tools safely, and how to stop harm before it spreads, because safety matters, and real work must be done. This is not magic; it is more like a g…
Meet Gopher: Big Thinking from Big Text
Researchers built a very large language system called Gopher to see what happens when computers read lots and lots of writing. As the models grew in scale, they got much better at simple tasks like answering questions and spotting wrong facts, but they did not always improve at tricky logic or math. The biggest wins were in reading and understanding, so tasks like reading comprehension and fact-checking improved a lot. The model also got better at finding hurtful or hateful speech, yet it still can be biased, and that worry about bias stays real. People are thinking how to use these tools safely, and how to stop harm before it spreads, because safety matters, and real work must be done. This is not magic; it is more like a giant mirror of what we write, and sometimes the mirror shows things we should change. The next steps will try to make models fairer and safer, while keeping the smart bits that help us learn and create.
Read article comprehensive review in Paperium.net: Scaling Language Models: Methods, Analysis & Insights from Training Gopher
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