We continue to talk about Intelligence Artificial (AI) but this time not neural networks or chatbots like ChatGPT. This time we are going to talk about a new programming language. New, but not too much. Is called Calls and was presented last year by Meta. Today, Mark Zuckerberg's company has it officially launched. Here's what he sets out to do.
Already presented in 2022, LLaMA is a new programming language based on artificial intelligence. Here's what it can do
Calls (LaLAnguage Model), is a new programming language developed by Meta (the former Facebook), presented in February 2022. It is an AI-based programming language, which allows you to create artificial intelligence models easier and more efficient than traditional techniques. The main feature of LLaMA is that it is a high-level language, which simplifies considerably the process of building and training AI models, compared to traditional languages like Python.
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Today we release a new next-generation artificial language model called LLaMA designed to help researchers advance their work. The LLMs have shown great promise in generating text, having conversations, summarizing written material, and more complicated tasks such as solving math theorems or predicting protein structures. Meta is committed to this open research model and we will make our new model available to the AI research community
Mark Zuckerberg
This means programmers can build AI models faster and more effectively, without having to worry too much about the complexity of the underlying processes. The LLaMA language uses a model-based approach, which is based on the idea of building an AI model and then training it using a large amount of data. This allows you to create AI models that are capable of autonomous learning, continuously improving their capabilities.
Plus, LLaMA is designed to be highly scalable and can be used to build large-scale AI models, such as those used in large machine learning projects. The language also supports a wealth of libraries and data analysis tools, allowing you to build highly customized AI models.
How will LLaMA be useful?
A company that wants to build a recommendation system for its customers could use LLaMA to build a machine learning model that analyzes customer purchase data and provides personalized recommendations based on their past interests and buying behavior. A sort of social feed that recommends posts to us, but much, much smarter. Another possible application of LLaMA could be the creating intelligent chatbots, able to interact with users in a natural way and answer their questions in real time.
