In this episode of The Tech Journey, we dive into the fascinating world of large language models (LLMs) and uncover how they generate the text we see in apps, chatbots, and more.

Ever wondered how AI seems to know what to say?

We’ll explore the step-by-step process, from embeddings and context windows to self-attention, breaking down the technology in a way that’s easy to understand. You’ll discover why some AI models sound more relevant than others, how they adapt to different topics, and why their responses vary each time.

If you’re curious about the tech that powers AI, don’t miss this episode!

And for more insights, tech tips, and exclusive content, be sure to subscribe to my newsletter at keithelliott.me to stay updated on all things AI and tech.

In this episode, we dive into the fascinating world of AI alignment—the techniques used to make AI systems not only powerful but safe and trustworthy. We’ll explore how methods like Reinforcement Learning from Human Feedback (RLHF) and content filtering help align AI models with human values and ethics, allowing them to assist us in everything from customer support to learning new skills. But with powerful open-source models also comes the risk of misuse, especially when they lack alignment.

Join me as we uncover both the positive impact of aligned models and the challenges posed by unfiltered, unaligned models. It’s a balanced look at how we can harness AI’s potential responsibly in an ever-evolving technological landscape.

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In this episode, we explore how you can make AI work better for your business by customizing it to your specific needs. Learn how businesses are adapting AI models to solve unique problems and create smarter solutions, all explained in an easy-to-understand way.

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