Blagoj Kapsarov’s Post

What if GenAI is a balloon just waiting for the first one to poke it? Don't get me wrong; AI is definitely a big thing, and there are already a lot of industries, where AI-like solutions are deployed, contributing and helping generate value. But there is also a HUGE element of hype, lack of understanding of what the present opportunities within AI are, and what the limitations for deploying AI in a meaningful way to generate value are. Expectations of AI are at an all time high. And historically that's when people asking thoughtful, serious and maybe even logical questions can end up being the ones holding the needles and getting a little too close to the balloon. I find this thought experiment somewhat fascinating, and I think we need to prepare ourselves for all scenarios. Including the 'this is a bubble' one. It just seems prudent. What do you think? #ai #hype #bubble https://lnkd.in/dQjjwWSN

I just read an insightful article discussing the future of AI and the rise of smaller, specialized LLMs. As we witness the incredible capabilities of models like ChatGPT and Gemini, it's important to recognize that their limitations and potential for "hallucinations" have sparked a shift towards more precise LLMs. Specialized LLMs offer several advantages over their general-purpose counterparts. They require fewer hardware resources, making them more efficient and cost-effective. Companies can build their own models with focused datasets, reducing the barrier to entry and enabling tailored solutions for specific tasks. Check out this article and see for yourself! Let's embrace the future of AI with these smaller, specialized LLMs that empower us to achieve remarkable results. #GenerativeAI #LLMs #Deployment

I just read an insightful article discussing the future of AI and the rise of smaller, specialized LLMs. As we witness the incredible capabilities of models like ChatGPT and Gemini, it's important to recognize that their limitations and potential for "hallucinations" have sparked a shift towards more precise LLMs. Specialized LLMs offer several advantages over their general-purpose counterparts. They require fewer hardware resources, making them more efficient and cost-effective. Companies can build their own models with focused datasets, reducing the barrier to entry and enabling tailored solutions for specific tasks. Check out this article and see for yourself! Let's embrace the future of AI with these smaller, specialized LLMs that empower us to achieve remarkable results. #GenerativeAI #LLMs #Deployment

Muse for today. I've been contemplating sharing my thoughts on the two rules of AI, considering ChatGPT as a large language model trained on web data. The number one rule is that any AI tool should save time. Sometimes, these AI tools give biased information, but despite their limited knowledge of the world, they make you productive and increase your value. Also, AI tools should not add unnecessary complexity. As a senior engineer, you know what you want before AI writes it, and you can detect when it is giving you bad guidance. That is one differentiating factor between senior and junior engineers. Companies value these sets of people any day as they prevent complexities of a system, business, or program. What are your thoughts on this?

Reflecting on the past year, the impact of ChatGPT and artificial intelligence (#AI) in the corporate environment has been particularly profound for small to medium-sized businesses (SMBs). As we delve into ChatGPT's transformative journey in this blog post, we emphasize the crucial role of having an expert guide you through the changes that AI poses to digital marketing. Read more now. https://lnkd.in/dFmbbJKD

Reflecting on the past year, the impact of ChatGPT and artificial intelligence (#AI) in the corporate environment has been particularly profound for small to medium-sized businesses (SMBs). As we delve into ChatGPT's transformative journey in this blog post, we emphasize the crucial role of having an expert guide you through the changes that AI poses to digital marketing. Read more now. https://lnkd.in/dxEAWi4p

I just read an insightful article discussing the future of AI and the rise of smaller, specialized LLMs. As we witness the incredible capabilities of models like ChatGPT and Gemini, it's important to recognize that their limitations and potential for "hallucinations" have sparked a shift towards more precise LLMs. Specialized LLMs offer several advantages over their general-purpose counterparts. They require fewer hardware resources, making them more efficient and cost-effective. Companies can build their own models with focused datasets, reducing the barrier to entry and enabling tailored solutions for specific tasks. Check out this article and see for yourself! Let's embrace the future of AI with these smaller, specialized LLMs that empower us to achieve remarkable results. #GenerativeAI #LLMs #Deployment

Great read on the future of AI!

Imagine you could harness the power of ChatGPT to transform your business. For many, the promise of AI remains just that—a promise. But what if you could use generative AI not just to automate, but to innovate? In 'Exploring the Desktop Version of ChatGPT', you'll explore how to use this powerful tool to significantly enhance your productivity. #openai #llms #generativeai

AI PRODUCTIVITY HACK 👩💻 Build dope workflows in Botpress (seriously a powerful platform), use their AI assistant to implement code elements, when the code throws an error (which may happen if you make it TOO complex) have Anthropic Claude fix it. This is how you get Botpress bots to make API calls that gather all your Vector Store context (for example) and feed that to AI to chat with in real-time. Almost like building your own, better version of ChatGPT. #ai #aiautomation