The Whizbang Weekly

  • The Rise of Multimodal AI: Navigating Challenges and Opportunities

    Multimodal AI models are rapidly emerging as the next frontier in artificial intelligence, promising to revolutionize how machines perceive and interact with the world. Unlike traditional AI systems that focus on a single data type, multimodal AI integrates diverse inputs such as text, images, audio, and video to create more comprehensive and nuanced understanding. This…

    Campbell Robertson

  • Dave vs. Goliath in GenAI

    Apologies for the lapse in posts, much continues to develop in this space with more ‘mini’ models being rolled out and the growing concern towards large LLMs consuming vasts amounts of data and energy; I think we should evaluate what and when various models should be used. Large Language Models (LLMs) and mini LLMs represent…

    Campbell Robertson

  • What will the EU AI Act mean to the EU as well as global organizations?

    The EU AI Act being passed in the EU Parliament signifies a significant milestone in regulating artificial intelligence within the European Union. This act, which is the world’s first comprehensive AI law, aims to ensure the safe, transparent, traceable, non-discriminatory, and environmentally friendly use of AI systems in the EU[1]. The act categorizes AI systems…

    Campbell Robertson

  • Friday Philosophy View on AI and Humans

    Victor Frankl’s seminal quote, “Between stimulus and response lies a space. In that space lie our freedom and power to choose a response. In our response lies growth and happiness,” encapsulates a distinctly human experience – the faculty of volition, choice, and the impact of our decisions on personal growth. However, when juxtaposed with Artificial…

    Campbell Robertson

  • How to use lower cost LLM’s in larger content based tasks.

    As we explore the evolution of large language models (LLM), both cost-effectiveness and computational efficiency are critical factors to consider. Lesser expensive, smaller LLMs with a smaller token limit while seemingly restrictive, offer substantial benefits over their larger, pricier counterparts. The notable advantage of smaller LLMs is their affordability and swift response times. They serve…

    Campbell Robertson

  • In Generative AI: Model size matters, but it’s how you use them that counts.

    As I talk with clients looking to use Generative AI models they seem to make this erroneous decision that the larger the model is (number of tokens it can process) the better it will be at everything. This is far from the truth. Larger models take more computation power e.g. more money. We are making progress in seeing…

    Campbell Robertson

  • Unraveling Complexity with Perplexity.ai: A User’s Perspective

    Maybe this is why Google is rejigging its business model with upstarts like Perplexity.ai entering the ring. For years my go-to solution for information gathering, brainstorming ideas, and searching through the digital universe has been Google. But my recent encounter with an alternate AI solution, Perplexity.ai, has left me questioning the preeminence of Google Search.…

    Campbell Robertson