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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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Can Generative AI help my business ? Yes!
Here are 15 business challenges and Generative AI solutions that address them: These challenges and solutions demonstrate the diverse applications of Generative AI in addressing various business needs, from customer engagement to operational efficiency and ethical considerations. I realize this is a general summary but now you can investigate how and what you need to plan. Do…
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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…
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How Generative AI will change how you garden or landscape
How AI may impact how you garden or landscape. Generative AI could profoundly impact gardening and landscaping by creating tailored designs, optimizing planting and maintenance, and enhancing ecological conservation. 1. Customized Designs: Generative AI, like Promethean AI, can generate 3D landscapes taking into account specific user preferences, plot sizes, climate zones, and plant types. These…
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Thwarting facial recognition
www.nytimes.com/2020/08/03/technology/fawkes-tool-protects-photos-from-facial-recognition.html
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Part 2: Ethics in AI
In attempting to come to grips with where ethics is being applied to AI I have found through formal research approaches that both private and public sector organizations and companies have created frameworks or operating principles for ethical use of data and algorithms. That is the good news. The bad news is they are not…
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The Whizbang Weekly 