Welcome to a thought experiment turned blog that delves into the spheres of philosophy, contemporary AI innovations, and our evolving relationship with technology. Here, we thoughtfully interlink the philosophical reflections on our existence, the exciting advancements in AI, and our growing bond with the technological world.
The shift to phased, hybrid approaches to genAI and LLMS: In the ever-evolving world of generative AI and Large Language Models (LLMs), people and businesses alike are discovering more effective ways to weave these advanced tools into the fabric of their business.
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I've been noticing the term ‘fine tuning’ tossed around a bit in various blog posts and podcasts lately. Since there are a lot people interested in LLMs and AI in general, I thought I'd offer a quick perspective on what 'fine tuning' may mean to different people.
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Picture this: a hand full of seeds, each one bursting with potential. But what's their use if they remain unplanted? We all have ideas and dreams - seeds of potential. The trick is moving from holding them to planting them.
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Many people utilize OpenAI's ChatGPT by inputting prompts one a time, (hopefully) assessing the generated responses, offering feedback, and repeating the process until the output aligns with their expectations. But have you ever wonder how organizations tackle highly complex questions from different perspectives quickly? This guide offers a streamlined explanation on how we can efficiently link Language Learning Models (LLMs) together to expedite this process and substantially enhance it with trained data.
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ChatGPT has made a serious name for itself and is impossible to overlook. So let's simplify what it is and how you can use it in jargon-free terms.
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