In partnership with OpenAI, Microsoft is working to bring AI capabilities to a multitude of its products and services, while trying to introduce smaller, case-specific models. Then Microsoft Research launched a brand new AI model called Orca. This AI model understands by running giant language models. According to the research paper, the new Orca AI model is designed in a way that can overcome the shortcomings of smaller models by mimicking the thought process of large core models such as GPT-4.
The Orca and models are both capable of being optimized for the needs of certain specific tasks. They can be trained using large language models such as GPT-4. Orca is smaller in size, which means it requires less computing resources to operate.
The research paper states that Orca has the ability to imitate and learn from relatively large language models, such as GPT-4. Orca is an AI model powered by 13 billion parameters and based on Vucuna. Orca can learn step-by-step thought processes, explanations and a series of complex instructions with the help of GPT-4.
Microsoft uses simulation information extensively to promote progressive learning through Orca. Microsoft’s new model surpassed Vircuna by one percent on mindless benchmarks like BBH (Big Hard Band). According to some claims, the new AI model is 42% faster than regular, conventional AI models in AGIEval.
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reasoning skills
Speaking of inference skills, Orca is a relatively smaller model, but arguably as good as ChatGPT on standards like BBH. Furthermore, Orca presents competitive academic exams like LSAT, GMAT, GRE and SAT. However, it lags far behind the GPT-4.
According to the Microsoft team, Orca can learn with step-by-step human-designed explanations of more advanced language models. Orca is expected to improve his abilities and skills.
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Source: newstars.edu.vn