Clarence Bethea’s Post

Is generative AI really worth your money? Many tech companies are pushing new features that sound exciting. But the truth? They might not deliver the value you expect. Before you spend your hard-earned cash, it’s worth asking— “Will this truly make my life easier, or is it just a shiny toy?” Join the conversation on the true value of generative AI. Follow me for insights on tech that really works for YOU! #generativeai #techinsights #valueformoney

There are so many vital insights in this article, I have to share the full PDF! What stands out most to you? For me, it has to be the need to set up the tech architecture to scale generative AI. It’s no secret - everyone is excited about the transformative potential of gen AI, but if you don’t take the time to build the right foundations before adoption, you will struggle to scale your models and find your costs spiral as a result. You can read the full article here: https://lnkd.in/eWTsfxUq #McKinseyDigital #AIbyMcKinsey #GenerativeAI #ArtificialIntelligence

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I came across an interesting video that addresses a question I've been trying to answer myself. The answer isn't obvious, as previous attempts to distinguish humans from AI, like 'we have emotions' or 'we are creative', have been challenged by the latest multi-modal genAI solutions. Here are my key takeaways: - The discussion draws from the book "Framers" - (some) Humans have an ability to reframe problems, consider counterfactuals, and leverage an innate sense of causality and constraints. - The book emphasizes the importance of understanding how we frame and represent problems, rather than just relying on data and models (intuition?). - The three key methods for reframing: repertoire (drawing from familiar frames), repurposing (adopting frames from different contexts), and reinvention (creating entirely new frames).

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Working with Virbo. The more we think, the more AI rocks the world. What's your take on the future of AI and the business environment guys? Let me learn from your thoughts in the comments section.

AI can make code faster? Discover how conservative garbage collection might just be the secret sauce for speedier AI performance! 🚀 Dive into the details and join the discussion on how AI is evolving. Curious minds wanted! 🤔 Read more: https://lnkd.in/g577RgpC

Language-related #genAI tasks rely on AI foundation models. Learn how to navigate this landscape of proprietary and open-source tools in this blog from Forrester:

Great talk! A bit about LLM OS's, where things look like it's going with generative AI and problems to be solved, etc. Andrej Karpathy, founding member of OpenAI and former Sr. Director of AI at Tesla, speaks with Stephanie Zhan at Sequoia Capital's AI Ascent about the importance of building a more open and vibrant AI ecosystem, what it's like to work with Elon Musk, and how we can make building things with AI more accessible. https://lnkd.in/gfUFd4qT

Excited to spotlight our speaker Prof Dan Franks and his upcoming talk on Causal AI at The Tech Sessions! But wait, what exactly is Causal AI? 🤔 Unlike traditional AI that finds correlations in data, Causal AI aims to understand cause-and-effect relationships. It's like moving from "what" to "why" in data analysis. Why does this matter? - Better decision-making: Understand the real impact of your choices - Reduced bias: Get insights based on actual causes, not just correlations - Improved predictions: Anticipate outcomes more accurately Whether you're an AI expert or just curious about the future of tech, this talk promises to be eye-opening.