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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…
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The Implications of Generative AI for Hyperscalers: A New Era of Innovation
The proliferation of Artificial Intelligence (AI) has been nothing short of transformative, introducing a broad range of applications and capabilities that continue to redefine what is possible. Primarily, generative AI, which includes AI models like GPT-4 and beyond, has been a game-changer, demonstrating a sophisticated understanding of language unparalleled in AI’s history. But how do…
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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…
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Blockchain and Generative AI a perfect match.
Blockchain technology has evolved significantly from its birth as the backbone technology of Bitcoin. Despite the fluctuations of the cryptocurrency market, the underlying blockchain technology has proven its resilience and utility across various sectors, from finance to supply chain management. In the realm of generative AI, blockchain can play an unusual yet crucial role. Data…
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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…
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The Art & Science of Deploying Generative AI
Generative AI technology, including language models, has evolved into a mesmerizing field where art and science converge. The delicate balance between these contrasting, yet often intertwined domains, plays a critical role in shaping this technology’s future. The scientific aspect is genuinely captivating in its ability to understand data patterns, effectively draw conclusions, and deliver valuable…
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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…
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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.…
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Content Watermarking for Trust
Today I came across my first site that actually stated that it was an AI generated page. I was actually trying to understand Cross Indexing vs. VLOOKUP in Excel but the page I landed on had a disclaimer at the top which made me think about how we ensure we can know and more importantly…
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Choosing Ethical Frameworks in the Generative AI Age
Choosing an ethical AI framework necessitates careful consideration of your organizational needs and ethical concerns, in order to ensure applicability, compliance, and overall fairness. Here are the steps for assessing and choosing an ethical AI framework: 1. Define Purpose: Understand the key objectives and the use-case scenarios for the AI in your organization. This will…