From the course: Advanced Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs)
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BERT for multilabel classification: Part 1 - ChatGPT Tutorial
From the course: Advanced Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs)
BERT for multilabel classification: Part 1
- So here we are, and we are about to be using our open-source large language models for a little bit more customized usage. You might recall from a previous session, we were looking at the genres of a very, very large anime recommendation database. At the time, we were building a recommendation engine on how to actually predict which shows and movies people would like based on their past preferences. But today, we're going to be actually taking a look at how we can use that same database to perform what could be considered a simpler problem with more implications, predicting the genre of a certain TV show or movie, given some more descriptive characteristics about that title. We can see here that the actual task itself is more or less a pretty standard classification problem, where I will give you a show or a movie, some anime title, and the job of the large language model, in this case, BERT, is going to be to predict what genre it should fit under. Now, of course, for an actual…
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Topics46s
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BERT for multilabel classification: Part 112m 36s
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BERT for multilabel classification: Part 226m 59s
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Writing LaTeX with GPT-221m 31s
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Case study: Sinan’s attempt at wise yet engaging responses—SAWYER23m 54s
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Instruction alignment of LLMs: Supervised fine-tuning28m 23s
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Instruction alignment of LLMs: Reward modeling21m 49s
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Instruction alignment of LLMs: RLHF26m 54s
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Instruction alignment of LLMs: Using an instruction-aligned LLM19m 10s
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