Small language models are easier to use and more accessible for organizations with limited resources. They can also be more quickly adjusted to fit specific needs. Small language models are made to function well for basic activities.
Microsoft has released a new language model called Phi 3, continuing its AI spree. Microsoft claims that compact language models are easier to use and more accessible for organizations with limited resources. They may also be more quickly adjusted to fit unique requirements. compact language models are made to perform well for basic tasks. They are also reasonably priced and simple to use on mobile phones.
According to Sonali Yadav, principal product manager for Microsoft’s generative AI, “what we’re going to start seeing is not a shift from large to small, but a shift from a singular category of models to a portfolio of models where customers get the ability to make a decision on what is the best model for their scenario.”
Microsoft states that the specific requirements of an organization, the difficulty of the work, and the resources available all play a role in selecting the appropriate language model. According to Microsoft, small language models are ideally suited for businesses wishing to develop locally on a device (as opposed to in the cloud) apps where a task doesn’t demand a lot of reasoning or a prompt response. Microsoft implies that models like Phi 3 can operate locally instead of spending significant costs to run LLMs on the cloud.
Microsoft claims that more individuals will be able to use AI in ways that weren’t possible with LLMs because models like Phi 3 can operate offline. Microsoft gave the example of a farmer examining crops and noticing symptoms of disease on a leaf or branch. The farmer may snap a photo of the crop in question using an SLM equipped with optical capabilities, and within seconds, receive treatment advice for pests or diseases.
