| ▲ | djb_hackernews 5 hours ago |
| You have a misunderstanding of what LLMs are good at. |
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| ▲ | cap11235 5 hours ago | parent | next [-] |
| Poster wants it to play Jeopardy, not process text. |
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| ▲ | kleiba 5 hours ago | parent | prev | next [-] |
| Care to enlighten me? |
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| ▲ | vntok 4 hours ago | parent [-] | | Don't ask a small LLM about precise minutiae factual information. Alternatively, ask yourself how plausible it sounds that all the facts in the world could be compressed into 8k parameters while remaining intact and fine-grained. If your answer is that it sounds pretty impossible... well it is. |
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| ▲ | IshKebab 5 hours ago | parent | prev | next [-] |
| I don't think he does. Larger models are definitely better at not hallucinating. Enough that they are good at answering questions on popular topics. Smaller models, not so much. |
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| ▲ | paganel 5 hours ago | parent | prev [-] |
| Not sure if you're correct, as the market is betting trillions of dollars on these LLMs, hoping that they'll be close to what the OP had expected to happen in this case. |
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| ▲ | raincole 4 hours ago | parent [-] | | The market didn't throw trillions of dollars to develop Llama 3 8B. What GP is expected to happen has happened around late 2024 ~ early 2025 when LLM frontends got web search feature. It's old tech now. | | |
| ▲ | paganel 3 hours ago | parent [-] | | The GP’s point was about LLMs generally, no matter the interface. I agree that this particular model is (relatively speaking) ancient in AI the world, but go back 3 or 4 years and this (pretty complex “reasoning” at almost instant speed) would have seemed taken out of a science-fiction book. |
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