Achieving My Desired Outcome by Leveraging AI

Achieving My Desired Outcome by Leveraging AI

I recently conducted a poll on LinkedIn, asking how often people use AI in their daily lives. The results were interesting, but what struck me the most was the response rate. Out of over 700+ impressions, only 17 people responded. This got me thinking — is it that people don’t care for polls, or is it me, or perhaps most people just don’t care about AI? I believe we should all be looking at everything we do through the lens of “how can I leverage AI here?” This brings me to a problem I recently encountered and how AI helped me solve it. ...

March 11, 2024 · 2 min · Ben Karciauskas
Owl classification model

Insights from My Deep Learning Journey

Recently, three owls decided to make their home in our garden. It’s been a hoot (sorry, had to) getting to know these fascinating creatures. My fascination with them sparked the idea for my first ever machine learning application. I had spent the last month or so working my way through the “Practical Deep Learning for Coders” course by Fastai. The field seemed daunting, with its complex mathematical underpinnings and the perception that only tech giants like Google and Facebook could harness its power. However, as I progressed through the course, I discovered that many of my preconceptions were unfounded. ...

March 11, 2024 · 3 min · Ben Karciauskas

Let's Dive In

Hey there, tech explorers! Welcome to the wild world of AI and Machine Learning — where algorithms rule, data talks, and the future is now! 🚀💻 Join me on this exciting journey as we unravel the mysteries of AI and ML. From self-driving cars to personalised recommendations, we’ll explore the cool stuff these technologies can do. Whether you’re a tech geek or just curious, this blog is your backstage pass to the world of AI and Machine Learning. So buckle up, let’s dive in, and let the digital magic begin! ...

March 9, 2024 · 1 min · Ben Karciauskas

RAG vs Fine-Tuning: Exploring the Options

Retrieval-Augmented Generation (RAG) seems to be the new cool thing in the fast-changing world of generative AI, especially in language models. I’ve been really getting into LlamaIndex lately, and I’ve noticed that sometimes the answers my apps give aren’t as good as I’d like. Is it because of how I made the app, or should I try fine-tuning instead? Maybe I just need to use more specific and better prompts? I’ve decided to dig deeper into this. ...

March 9, 2024 · 3 min · Ben Karciauskas
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