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To be fair, this article does say: >What are Language LFMs not good at today: >Zero-shot code tasks >Precise numerical calculations >Time-sensitive informat
by leetharris 2y ago
To be fair, this article does say:
>What are Language LFMs not good at today:
>Zero-shot code tasks
>Precise numerical calculations
>Time-sensitive information
>Counting r's in the word "Strawberry"!
>Human preference optimization techniques have not been applied extensively to our models yet.
Maybe it's just not trained/tuned for math-related challenges. Or maybe it's an architectural challenge.
- aithrowawaycomm 2y agoBut they also say > What are Language LFMs good at today: > General and expert knowledge > Mathematics and logical reasoning "Our LLM is good at mathematics but bad at computation" doesn't really cut the mustard here. What they mean is "good at well-known math benchmarks but bad at simple math problems that it hasn't been trained on." The idea that this constitutes "mathematics and logical reasoning" is a testament to AI companies' poor scientific standards.