How Will the LLM Hallucination Problem Be Solved? | Manifold

How Will the LLM Hallucination Problem Be Solved?

32

1kṀ977

2029

9%

Other

8%

Vector Embeddings (as with Pinecone https://www.pinecone.io/)

2%

Filtering (as with Deepmind AlphaCode https://www.deepmind.com/blog/competitive-programming-with-alphacode)

0.1%

Ensemble Combined with Fine Tuning

0.5%

Joint Embedding Predictive Architecture (https://arxiv.org/pdf/2301.08243.pdf)

1%

Feed Forward Algorithms (https://www.cs.toronto.edu/~hinton/FFA13.pdf)

9%

Bigger model trained on more data + RL

1.4%

Vigger models + prompt engineering

48%

It won't be

20%

Giving all LLMs access to the internet and databases of scientific papers

By the year 2028, how will the Hallucination Problem have been solved for the vast majority of applications out there?

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I'm guessing models will eventually be taught to express uncertainty in their answers. When asked "who is [person that does not exist]" many of them already correctly say they don't know who they are. I see no theoretical reason this capability couldn't be broadened

Related:

@LukeFrymire this would imply that either the options in my market are overvalued or your market is overvalued.

@PatrickDelaney I think the resolution criteria is fairly different. Mine requires that a scale-based solution is possible, yours requires it to be the primary method in production.

@LukeFrymire "larger models alone," doesn't even appear as an option on my market yet.

@VictorLevoso ught hit v instead of b in keyboard and didn't look at the question properly before clicking submit and now can't edit it or erase it.

@VictorLevoso you can sell and re-buy

How does this market resolve if it hasn't been?

@IsaacKing you could put that as an option

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Will LLMs be banned at the 2026 MIT Mystery Hunt?

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LLM Hallucination: Will an LLM score >90% on SimpleQA before 2026?

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Will LLM hallucinations be a fixed problem by the end of 2028?

Will hallucinations (made up facts) created by LLMs go below 1% on specific corpora before 2025?

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How will the data shortage for LLM gets solved

Will an LLM be able to solve Raven's Progressive Matrices from an image in 2025?

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