After Googles Bard and Microsoft ChatGPT, Meta is entering the AI chatbot competition with its own cutting-edge foundational big language model intended to aid academics in the field of artificial intelligence. Now, Meta has also joined the AI chabot race with its own large language model designed to assist researchers with their artificial intelligence research.At the time of writing, Meta Large Language Model Meta AI (LLaMA) is not as powerful as ChatGPT-driven Bing, since it cannot speak to humans yet, but it can provide high-level research assistance. Several sizes of LLaMA are being made accessible by Meta (7 billion, 13 billion, 33 billion, and 65 billion parameters).Big language models, which are natural language processing (NLP) systems with billions of parameters, have demonstrated new capacities for producing original content, resolving mathematical conundrums, forecasting protein structures, responding to reading comprehension problems, and more. Those are among the most obvious examples of the significant potential advantages that AI could provide for billions of people on a large scale, according to Meta.Like previous large language models, LLaMA generates text recursively by using a sequence of words as input and predicting the following words.One of the officials said that according to the business, “Our smallest model, LLaMA 7B, is trained on one trillion tokens.” Meta is making AI available in different sizes (7 billion, 13 billion, 33 billion and 65 billion parameter). The Large Language Models- Natural Language Processing (LLM-NLP) system has shown new capabilities to generate creative text, predict protein sources, and solve mathematical problems.“Today were releasing a new state-of-the-art AI large language model called LLaMA designed to help researchers advance their work,” Mark Zuckerberg informed through his social media platform. He added that “LLMs have shown a lot of promise in generating text, having conversations, summarizing written material, and more complicated tasks like solving math theorems or predicting protein structures.” But the Meta executive did not explain exactly which of those tasks LLaMA could currently accomplish.According to the business, “LLaMA works by accepting a sequence of words as input and predicting a following word to recursively generate text.” LLaMA was trained on text from 20 different languages, he added. The model card states that publicly accessible text from CCNet, C4, Wikipedia, ArXiv, and Stack Exchange was used as training data.LLaMA will be offered in various sizes, according to Meta, and its AI is lauded as having a “smaller foundation model” that “needs significantly less computational power and resources” than existing large language models. The business reaffirmed that only AI researchers will be granted access while reiterating its dedication to openness and responsible AI development.In their blog post, Meta acknowledged some of the difficulties. “Further study is still required to handle the dangers of prejudice, harmful remarks, and hallucinations in large language models. The company stated that LLaMA faces the same difficulties as other variants. Nonetheless, it appears that Meta thinks its open, research-focused strategy is a step in the right direction towards overcoming the multiple, persistent problems with AI.”Velocity, an Indian company has also launched its AIWell-known businesses like Google are ready to compete with ChatGPT. Google just released a chatbot by the name of Bard. Following this, Bing was also a topic of considerable discussion. They are now very eager to learn about Lexi, the Indian equivalent.An Indian competitor designed Lexi. This makes it very simple to find answers and helps you comprehend Indian culture. An AI chatbot named Lexi has landed in India using ChatGPT. The chatbot was developed by financial technology company Velocity to help e-commerce owners by providing them with business information. The chatbot is now connected to Velocity Insights, a proprietary analytics platform. The company made its announcement in a blog post on its website.The company has integrated it with a variety of clever features and elements. In addition, you dont need to register for an account.
