Demystifying A.I Models, Types, and Applications.
First, we need to clarify that every AI model is not the same. It may look similar, but each one excels in something or is average in most things. And we can't examine every AI model on the hype train, so we choose the popular and worthwhile models to examine.
AI21
In their claim, it is good for querying document libraries, implementing help chatbots, classifying the sentiment of text snippets, ad copy suggestions, and they also say that it is "best in class LLM".
There are two types of models that AI21 offers: foundation and task-specific models. The foundation model is an average AI model, so check the price. If it is lower than others, use it; if not, it doesn't worth it. The task-specific models are good for document querying and other specific tasks.
Anthropic
Recently they introduced a new model called "Claude 3.5 Sonnet," which has shown improved performance in code generation compared to other models in the market. So you can use code generation specific tasks.
Meta Llama
Meta Llama is developed by Facebook, which has a great online community, and it is open source, which is interesting to see. Again, it is not particularly good at one thing, more it is average. So the parameters to watch are accessibility to you and pricing.
Stability AI
We look at text-generating models, but this model generates images, and it's not only in town with models like DALL-E and Midjourney, which can be used for image generation-related asks, with the ability to take text prompts and turn them into images.
Use models for your specific needs and tasks, and don't jump on the hype train. It's essential to evaluate the capabilities and limitations of each model.