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14.2
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Omar Kamali
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omarkamali
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omarkamali
omarkamali
omar-kamali
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NLP & LLMs for low resource languages.
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omneity-labs/lid-benchmark:
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21 days ago
Just sharing a little breakthrough with Gherbal LID where we managed to distinguish the 15 variants of Arabic with 6 variants above 90%, 10 variants above 85% accuracy, practically distinguishing Moroccan and Algerian (which overlap massively). It also embraces the duality of MSA and arabic variants pioneered in ALDi by @AMR-KELEG et al. Now we're only bottlenecked by the availability of high quality data for the low scoring variants such as Iraqi, Libyan, Sudanese, Adeni ... More on Gherbal at: https://omneitylabs.com/models/gherbal
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21 days ago
Just sharing a little breakthrough with Gherbal LID where we managed to distinguish the 15 variants of Arabic with 6 variants above 90%, 10 variants above 85% accuracy, practically distinguishing Moroccan and Algerian (which overlap massively). It also embraces the duality of MSA and arabic variants pioneered in ALDi by @AMR-KELEG et al. Now we're only bottlenecked by the availability of high quality data for the low scoring variants such as Iraqi, Libyan, Sudanese, Adeni ... More on Gherbal at: https://omneitylabs.com/models/gherbal
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Harmony Inspector
Parse and inspect how the GPT-OSS Harmony format works