In this video, we dive into Retrieval-Augmented Generation (RAG), a powerful method for enhancing AI with access to external data sources. We’ll explore how RAG works, why it’s valuable, and when to use it compared to fine-tuning models. You’ll gain a clear understanding of RAG’s benefits, how it complements large language models, and when it’s best to use both RAG and fine-tuning for robust AI solutions. Perfect for AI enthusiasts, tech professionals, or anyone curious about advanced AI applications!

Key Points Covered:

• What is Retrieval-Augmented Generation (RAG)?

• How RAG systems work with external data

• The differences between RAG and fine-tuning

• Examples of RAG applications in business and AI workflows

• When to combine RAG with fine-tuning for the best results

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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.

Don’t forget to subscribe and follow me on social media for updates and discussions about all things AI and tech:

https://gittielabs.ck.page/profile

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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Email: keith@gittie.co

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In this episode of Tech Journey with Keith Elliott, we explore the fascinating rise of AI, from its early rule-based systems to today’s advanced large language models like ChatGPT.

Through a surprising analogy with the cane toad’s introduction in Australia, Keith draws parallels between the unintended consequences of technology and the rapid development of AI.

While AI offers incredible benefits, could we be overlooking the risks? Join us for an engaging discussion that examines both the promise and the potential pitfalls of AI’s future.

If you want to dive deeper into any topics we touch on, send your questions to keith@gittie.com.

Episode 1 - The Beginning

In this debut episode, Keith Elliott dives into his personal journey in the tech world, exploring the risks and rewards that have shaped his career.

Keith reflects on his path, from leaving a stable position at a large corporation to taking bold risks in startups and entrepreneurship.

He shares insights on the different spectrums of risk-taking, how to evaluate opportunities, and the importance of betting on yourself.

Whether you’re a seasoned tech professional or just starting your career, this episode offers valuable lessons on navigating the world of technology and innovation.