As a keynote speaker and a future of work expert for hire, I, Dan Sodergren, am privileged to witness and discuss the promising advancements in artificial intelligence (AI) that could reshape societal productivity in 2024. From the labs of tech giants to the open-source community, AI's potential is expanding rapidly. Today, let's explore the landscape of Large Language Models (LLMs), their potential impact, and the revolution that Open Source LLMs are bringing about.
The Giants Leap Forward: Microsoft and Google
As a technology expert and AI thought leader, I've been closely observing how Microsoft and Google have been leading the charge in LLM development. Microsoft's initiatives revolve around creating models that are not only smaller but also more cost-effective. Their efforts are an indicator of the potential for a more efficient, AI-driven future, a significant aspect of the future of work.
Google, on the other hand, has been developing multi-modal LLMs. Their latest model, Gemini, personifies this approach. By understanding different types of data inputs, Gemini broadens the scope of LLM applications. However, it's crucial to remember that these advancements are not without their share of controversies, as seen with the recent Gemini demo video debacle.
The Open Source Revolution
A fascinating development within the AI community has been the rise of Open Source LLMs. As a tech futurist speaker, I find this particularly intriguing. According to a recent article on Unite.AI, some of the most distinguished Open Source LLMs as of December 2023 include Llama 2, Bloom, MPT-7B, Falcon, and Vicuna-13B.
These models are gaining momentum due to their affordability and accessibility. They're designed to match the capabilities of top-tier models without the exorbitant price tag or complexity. This development is significant as it opens up the world of AI to a broader audience, a clear indicator of the Fifth Industrial Revolution.
Open Source LLMs are democratizing the AI landscape, allowing developers worldwide to contribute to and benefit from AI advancements. This spirit of collaboration could expedite the development and refinement of AI models, potentially leading to groundbreaking innovations.
Moreover, Open Source LLMs provide a platform for transparency and ethical AI development. With the source code being open to scrutiny, it's easier to spot and rectify biases or errors in the models, leading to more equitable and reliable AI systems.
Looking to the Future
As we look ahead to 2024 and the dawn of the Fifth Industrial Revolution, the future of AI holds much promise. With tech corporations making significant strides in LLMs and the rise of Open Source LLMs, we stand at the cusp of a productivity revolution.
The advancements in AI signify a shift towards greater productivity, creativity, and innovation. It's an exciting time to be part of this ever-evolving field. As a future of work speaker, I'm privileged to share these insights and developments with professionals and corporations. Here's to a future where AI helps us be more productive and innovative than ever before.
I will be speaking about this and my new book INTELLIGENCE The Fifth Industrial Revolution at Future24 - both online and in person on Jan 17th - if you are in Manchester do grab a free ticket before they all go.
Be great to see you there.
Merry Christmas from
Future24 - both online and in person on Jan 17th
References for the piece
1. [Unite.AI - Best Open Source LLMs](https://www.unite.ai/best-open-source-llms/)
2. [Microsoft's LLMs](https://www.microsoft.com/)
3. [Google's Gemini](https://www.google.com/)
5. [Microsoft 365 Apps](https://www.microsoft.com/en-us/microsoft-365)
6. [Dan Sodergren](http://www.dansodergren.com)