Llama 3 and How Open-Source LLMs Reshape Enterprise AI

The world of Artificial Intelligence is witnessing a surge in open-source large language models (LLMs). Meta's recent unveiling of Llama 3 exemplifies this trend. With IBM promptly offering Llama 3 on Watsonx , businesses now have a wider choice between commercial and open-source models for their enterprise AI platform.

Open-Source LLMs: A Paradigm Shift

Llama 3's arrival fuels discussions about open-source AI's role in commercial settings. It also compels us to re-examine "open-source" itself. Key distinctions exist between open, fee-free, open-source, and OSI-approved “truly open-source” software. Experience shows that not all open-source software is for free, and not all fee-free software is open-source. Not every open-source LLM developer publishes source code.

Beyond Free: Why Consider Paid LLMs?

While open LLMs like Mixtral or Llama 3 offer clear benefits, many wonder why pay for models from vendors like OpenAI (GPT-4) or IBM (Granite) or Google (Gemini). Here's a breakdown of key considerations alongside the advantages of open-source LLMs:?

Open-Source LLMs: Weighing the Pros and Cons

Finding the Optimal Solution: A Hybrid Approach

The future of AI is multi-model, multi-modal, and multi-cloud. There is no single model that will address all needs of a modern enterprise.? The ideal approach is to test both open-source and proprietary (usually they are cloud-based, but not always) LLMs within your specific environment. Platforms like IBM watsonx offer access to diverse open-source and proprietary models, including Llama 3, Mixtral, and Granite, to name the most popular. Utilize demos to compare performance in fundamental use case scenarios - try this one with watsonx models .

?The Future of LLMs: A Spectrum of Options

The quest for the "best" LLM continues, with definitions of "best" focusing on size, speed, trust, industry domain fit, etc., depending what is most important for the enterprise. The good news: there are a multitude of options and continuous innovation bringing new options every week. Every organization can find the perfect blend of open-source, proprietary, or own custom models to power their AI applications. By integrating open-source and fostering a collaborative environment, businesses can unlock a world of possibilities, driving innovation and gaining a competitive edge. What is your approach?