Llama 3, GPT-4, Gemini: Which LLM Will Rule the Future?

Since GPT took the LLM world by storm, we have come a long way. Now, we can’t deny our dependencies on the LLMs( Large Language Models) that almost all the leading companies incorporate in their daily work to improve productivity. Among different language models, three heavyweights that stand out are of course Gemini, GPT-4, and the latest one creating buzz, LIama 3. Here’s a performance comparison of these three.

LIama 3

After the debut of LIama 2 on 2nd July 2023, Meta’s LIama 3 launched in late April 2024 with a promise of improved diversity, better understanding of the instructions, and better code writing capability. This model has proven efficient to do complex works and also generate entertaining engaging content with a touch of humour sometimes. LIama 3 has great efficiency coding and offers an API to the users that helps them to build and scale-generating AI applications using these models.

GPT-4

With a huge popularity of 180.5 million users worldwide, GPT-4 is the pioneer in the LLM world. The chat functionality of GPT 4 is built on OpenAI’s Generative Pre-trained Transformer (GPT) LLM. Different versions of ChatGPT have better potency than the original versions.
For instance, the GPT-4 Turbo offers a better improvement over the GPT-4 version. Better performance to improved accuracy GPT-4 is here to offer all the benefits. And Omni has a double speed and five times higher rate limits than the turbo version. In general terms, GPT-4 is popular for its strong natural language understanding capacity.
Gemini
Gemini another standout name in the LLM world comes with a huge user base of 24.41 million desktop users and 35.64 million mobile users worldwide. Earlier known as the Bard AI, Gemini comes with several tools that help to enhance the response quality of Gemini.
Here is the comparative analysis of different versions of these models.

Llama 3, GPT-4 and Gemini- A Comparative Study

Accessibility and Size

• Llama 3: Available in two sizes, 8 billion and 70 billion parameters, LIama is open-source, free for use and modification.
• GPT-4: Much larger than LIama 3, (1.7 trillion parameters) this has limited access through OpenAI’s platform.
• Gemini: Parameter size is not disclosed to the public. This LLM is proprietary, developed, and used by Google.

Areas of Strength

• Llama 3: LIama 3 comes with an open-source nature and processes information more efficiently and has better superior logical reasoning capacity.
• GPT-4: The strong areas of this LLM include comprehensive language skills and a vast knowledge base.
• Gemini: Gemini is suitable for integration with Google applications and users can optimize it for the internal Google use cases.

Performance Areas

• Llama 3: It can surprise the users with its robust performance and reasoning.
• GPT-4: GPT-4 is the leader when it comes to language understanding and generating.
• Gemini: Gemini performs optimally in the tasks that need a smooth integration with Google products.

Use Cases

• LIama 3: The best thing about LIama 3 is due to its open-source nature, developers can access it with ease. The most useful use case of LIama 3 is code generation.
• GPT-4: GPT-4’s availability is comparatively restricted at this moment due to the restriction of OpenAI about its publicity management. At the same time, they are also working on finding the adverse impact on users. Besides the creative areas, now GPT-4 is equally popular in logical areas like mathematics.
• Gemini: Gemini can be used for handling tasks like complex visuals ( charts, diagrams, figures, for instance). Also, Gemini has proven effectiveness for image captioning Q&A capabilities, and audio processing. Gemini also supports speech recognition across more than 100 languages and audio translation tasks.

Data Training and Focus

• LIama 3: Basically trained on a text/code dataset and adapted for code generation challenges, Meta is working on developing the other modalities so LIama 3 can understand different forms including image and sound (under development).
• GPT-4 (OpenAI): OpenAI focuses on processing factual language and never promotes its creation as alive or conscious.
• Gemini (Google): Gemini is adapted to do Google searches and search real-time information for factual updates. So, it can be a good fit for the tasks that demand better accuracy.

Wrapping Up

So, now you get a proper notion about the top LLMs that have become a necessity of modern businesses. To build an LLM to meet your business needs, keep your trust in us. We are here to ease your business operations with advanced, effective, user-friendly, and functional LLMs considering your individual needs. The LLM world has already changed rapidly and many more changes await shortly.