April 29, 2024, 10:50 a.m. | Matthias Bastian

THE DECODER the-decoder.com


Researchers have found that specifically trained LLMs can solve complex problems just as well using dots like "......" instead of full sentences. This could make it harder to control what's happening in these models.


The article Meaningless fillers enable complex thinking in large language models appeared first on THE DECODER.

ai in practice article artificial intelligence control decoder found language language models large language large language models llm llms prompt-engineering researchers solve the decoder thinking

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US