While ChatGPT has been indeed revolutionary for the world, Meta's Llama 2 helps researchers and developers create their very own chatbots. Meta CEO Mark Zuckerberg back in July announced on his Facebook profile that Facebook's parent company is joining hands with Microsoft to create a much more powerful Artificial Intelligence which has been named Llama 2. Zuckerberg had termed Llama 2 as a next-generation open-source language model. As per Meta, Llama 2 outperforms other open-source language models on many external benchmarks, including reasoning, coding, proficiency, and knowledge tests. Llama 2 will be competing directly against the powerful OpenAI’s GPT-4 which was created as ChatGPT's rival. Now, the question arises What is Llama 2 and how will it be more efficient than other GPTs or AIs? Below is what we know so far-
What is Llama 2?
As per Meta's official handle, Llama 2 pre-trained models are trained on 2 trillion tokens and have double the context length than Llama 1. Its fine-tuned models have been trained on over 1 million human annotations. To be precise, Llama 2 has 40 percent more data than Llama 1. Llama 2 is Meta's open-source large language model (LLM). It's basically the Facebook parent company's rival to OpenAI's GPT models and Google's AI models like PaLM 2—but with one key difference- it's freely available for almost anyone to use for research and commercial purposes.
As per reports, Llama 2 was created within a research lab in Meta, by a team led by Yann LeCun who is hailed as one of the founding fathers of neural networks. Reportedly, Llama 2 has outperformed GPT-3 and is similar to ChatGPT when it comes to chat model quality. However, it lacks the ability to code.
Meta's Llama 2 is available via Microsoft’s Azure platform, AWS, Hugging Face. Notably, Qualcomm is collaborating with Microsoft to integrate the Llama 2 model into phones, laptops, and headsets from 2024. Considering the breadth of potential innovations that Llama 2 has, AI experts feel that it can be a disruptor in the industry after the ChatGPT.
What works Llama 2 can do?
Chatbot- Llama 2 was pretrained on publicly available online data sources.The fine-tuned model, Llama Chat, leverages publicly available instruction datasets and over 1 million human annotations. Code Llama is a code generation model built on Llama 2, trained on 500B tokens of code. It supports common programming languages being used today, including Python, C++, Java, PHP, Typescript (Javascript), C#, and Bash.
How to use Llama 2?
As per Microsoft, Azure customers can fine-tune and deploy the 7B, 13B, and 70B-parameter Llama 2 models easily and more safely on Azure, the platform for the most widely adopted frontier and open models. In addition, Llama will be optimized to run locally on Windows. Windows developers will be able to use Llama by targeting the DirectML execution provider through the ONNX Runtime, allowing a seamless workflow as they bring generative AI experiences to their applications.
The objective behind making Llama 2 open source is so that start-ups and other businesses can access it and tweak it to create their own AI products. This could potentially add to the ever-increasing list of chatbots that can rival OpenAI’s ChatGPT or Google Bard.
Also Read: Elon Musk's SpaceX sells $373 Million in BTC
How can you try Meta's Llama 2?
As of now the easiest way to try Llama 2 is via Perplexity AI. Visit llama.perplexity.ai to explore the model. The link will open a chatbox with the greeting “Hello! I am a LLaMa created by Meta AI and brought to life by the Perplexity team. How can I help you?” Users can enter their queries in the input box at the bottom.
What Meta said on Llama 2's impact?
Meta in its official blog wrote, "We want to activate the community of innovators who aspire to use Llama to solve hard problems. We are launching a challenge to encourage a diverse set of public, non-profit, and for-profit entities to use Llama 2 to address environmental, education and other important challenges." Notably, Llama 2 is now accessible to individuals, creators, researchers, and businesses so they can experiment, innovate, and scale their ideas responsibly.