🤖 1B Parameter LLM Speaks 10+ Languages Xiaoduo Technology's AI Lab has released Xmodel-1.5, and it's redefining what's possible in multilingual AI. Despite being relatively small (1 billion parameters), this model can understand and work with multiple languages - from widely-used languages like English and Chinese to less-represented languages like Thai and Arabic. Highlights: >Trained on a massive 2 trillion tokens across various languages >Achieves impressive 92.47% satisfaction rate in practical tasks >Outperforms larger models in many multilingual benchmarks >Special focus on helping underrepresented languages The team behind it also released open-source evaluation datasets for underrepresented languages. How do you see multilingual AI models changing the way we communicate globally? #ai #tech #llm #generativeai
Generative AI From statistical point of view, we use confidence interval to address the probability of success. A statement like "92.47% satisfaction rate" is NOT satisfactory. In language, we require 100% of accuracy to address the points and avoid misunderstanding or confusion. This is particularly true in law and diplomatic issues. Regardless all the insights, have the AI models and the outcomes been validated and verified (V&V) for correctness and the claimed confidence interval? It's essential to check the outcome of a technology before using it. Moreover, it's dangerous to use black box, like, artificial intelligence (AI), to do the tasks you can't do on your own, because you can't check and V&V. Here is our personal experience about using AI translation. https://lnkd.in/gKVMgXvu In any language comprehension, the key is to have a good human-curated dictionary, i.e., a multilingual metadata. Metadata is an enabler, like a human-curated treasure map for treasure hunting. The information from metadata must be deterministic, NOT statistical. Without metadata, like a treasure map, NO data can be found/retrieved, even by the most advanced technologies, like AI. https://lnkd.in/g-aJFnXR
This will evolve into bring useful. Trying to envision how it could be used in diverse larger teams, multi lingual, multiple locations. Seamless understanding
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Impressive developments in multilingual AI! It's exciting to see how Xmodel-1.5 is pushing boundaries and elevating communication across diverse languages.