Meta Reveals AI-Powered Chatbot To Rival ChatGPT

With AI tools coming out of the woodwork left, right and centre, the large language models (LLMs) have to pedal faster to ensure the demand is met. This is where Meta's second generation of its large language model enters the scene. LLaMA 2 is the follow-up to LLaMA that was released earlier this year and a non-commercial licence for research purposes. In a blog post, Meta unveiled LLaMA 2, which has been created in partnership with Microsoft and is positioning itself as a rival for ChatGPT and Bard.

The Possibilities of LLaMA 2

With LLaMA 2, the most surprising decision is that LLaMA 2 is open source, so will provide mainly free access for commercial and research purposes. The second generation of LLaMA was pre-trained on 40% more data with up to 70 billion parameters. LLaMA 2 is available for everybody, and the enhanced capabilities open up numerous possibilities in how we all interact with AI tools.

How Can We Use LLaMA 2 to Our Benefit?

Analysis and Insights

Businesses need to understand customer sentiment, and LLaMA's language comprehension extends to what is an older sentiment analysis. Sentiment analysis is the process of analysing digital text to determine the tone. Companies have large volumes of text data, such as customer support chat transcripts to analyse, and LLaMA 2 can instantly transform how a business can use live chat tools such as chatbots to interact with customers in a more positive tone. Because if you are learning how to set up live chat on website pages, the tool is almost secondary to the interactions you will get with the customer.

Localisation

LLaMA 2’s enhanced training data makes it a very effective translation tool that can help your business bridge communication gaps across languages and cultures. Localisation tools can be an invaluable asset in this world where we may be digitally connected but not necessarily connected in a human sense.

Natural Language Understanding

LLaMA 2's expanded data ensures it can comprehend and generate text that reads like a human. This means if you are wondering how to set up live chat on a website but still need to deliver stellar communication to underpin effective customer support, having an AI tool that understands nuance, context, and intent will vastly improve user experience.

Will LLaMA 2 Reinvigorate the LLM Model?

As Meta is prioritising researching and developing AI technology, the preview of its first generative AI tools for Instagram, Facebook, and WhatsApp has shown plenty of promise. Meta is working to keep up with the pace of every new AI tool. With an open-source approach, Meta is hoping this will improve safety and security as more people can identify any potential problems. The variety of generative language learning models on offer has demanded greater quality from consumers and developers. With every passing month, there seems to be a new AI tool, and with more choice through ChatGPT and personalised options provided by businesses, we will have to see if the latest AI-powered chatbot will rival what is already on the market.