Meta Llama 3.1 vs. GPT-4: An Open-Source Contender in the AI Arena

Have you ever wondered how ChatGPT, Meta AI, or Perplexity can give this quick and high-quality response? This is mainly because they are backed by powerful large language models. These models are a key technology that adds value to AI companies.?

The competition in the AI arena has become more intense and OpenAI stands top with its advanced models such as GPT 4, GPT 4 Turbo, and GPT-4o. OpenAI develops Large Language Models (LLM) in a closed barrier and will have the proprietary LLM model.?

The debate on open-source large language models has recently intensified among developers. Amidst this debate, On the 23rd of July 2024, Meta launched its Llama 3.1, an open-source large language model. Meta suggests it is the largest open-source model ever created and has an incredible 405 billion parameters.

Mark Zuckerberg on Open Source AI

On the release date of Llama 3.1, Zuckerberg released a letter on open-source AI. Mark Zuckerberg, Founder, and CEO of Meta, as mentioned in the letter, believes that AI’s evolution will resemble the evolution of Linux. Furthermore, Zuckerberg explains why open-source AI is good for developers and Meta in that letter.??

Meta Llama 3.1 vs. GPT-4

OpenAI’s GPT4 undoubtedly stands out from other available LLMs. OpenAI recently released its different versions of GPT4 and is considered better than the top contenders like Gemini Pro and Claude-3-Opus.?

AI skeptics claim that Meta has become slow in the AI race, and most developers prefer LLMs like GPT4, Claude, Falcon, and Gemini. Meta had just come with Llama 3.1 to gain an edge in this race.?

Meta Llama 3 vs. GPT 4 was a huge debate previously, now Meta Llama 3.1 with its extraordinary specifications is expected to be a strong contender to OpenAI.?

Here’s a comparison between Llama 3.1 vs. GPT 4?

Parameters & Development

• Llama 3.1

Llama 3.1 is an open-source language model with 405 billion parameters. As a large language model, Llama 3.1 has the highest number of parameters compared to other language models. Parameters are the variables that learn and train by taking new inputs and transiting them as new outputs. In simple words, parameters are the key aspect that shows the flexibility of a model to learn and adjust to information.?

• GPT-4

GPT-4 is a large language model designed and built by OpenAI in a closed-source environment. The company has not publicly announced any data about GPT-4’s parameters. The rumor is it has 220 billion parameters and is considered to be smaller than Llama 3.1.

Models amp; Context Window

• Llama 3.1

Meta Llama 3.1 is released with three models: an 8B model, a 70B model, and a 405B model. This allows users to use the model according to their needs and computing requirements. Previously, comparing Llama 3 vs GPT 4, Llama 3 doesn’t have a large context window like GPT4 or other top LLMs. But Llama 3.1 has a larger context window of 1,28,000 tokens.

• GPT-4

OpenAI released different versions of GPT-4; the earlier version had a context window of 8,192 tokens. Then the GPT-4 Turbo and GPT-4o were released, respectively, with a context window of 1,28,000 tokens. A context window represents the volume of text that a model can understand, process, and generate a response to. The longer the context window, the better LLM can maintain longer conversations and produce high-quality responses.

Meta’s Strategy: Open-Source AI

By establishing Llama 3.1 as an open-source AI, Meta claims it will not affect its revenue or the ability to experiment with new things. They claim open sourcing will help them grow further in the space of artificial intelligence.?

Mark Zuckerberg believes that a close development space will not expand the boundaries of technology. Also, he expects the AI field to be highly competitive. If the Llama remains open, the ecosystem will grow and become more efficient.?

The developers favour open-source AIs, and if more developers start to use Llama, it will be useful for Meta. Llama models can be trained and fine-tuned with useful feedback from the developers.?

Even Google has released an open-source AI called Gemma, a pre-trained model released in sizes: 2B and 7B. Gemma's model is based on the same research and technology used to develop Gemini, a leading LLM. Top AI institutions worldwide have started to release open-source AI to gain the upper hand in the race.?

Meta Llama vs ChatGPT

Meta AI and ChatGPT are considered some of the best generative AI tools. Meta AI and ChatGPT have become multimodal models that can understand and process different data types.??

These conversational chatbots are just a front-end user interface backed by LLMs. Currently, ChatGPT leads chatbot competition, everyone from developers to students to working professionals mostly prefers ChatGPT.?

Meta AI as a chatbot and Llama has a long road ahead. GPT-4 vision is understanding different data types like text, image, and audio. There is a reason why Open AI is leading the race, it's because of its talent pool and huge user base.

Conclusion:

The race to the top spot is highly dense and competitive. Top tech players like Meta, Open AI, Google, Anthropic AI, Nvidia, and Microsoft are in strong competition.?

The world of AI is not only introducing new technologies but new jobs as well. If you want to learn artificial intelligence in-depth, you can utilize the Advanced AI and ML Certification Program.?

Finally, Meta Llama 3.1 can take on top models like GPT-4, GPT-4o, Claude 3.5 Sonnet, and Gemini Ultra. If Meta unlocks a huge user base through open sourcing they might get invaluable feedback. This feedback will help them to grow further and gain an edge in the competition.?