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Ever wondered how cycling from London to Paris could inspire an in-depth discussion about AI? Join us as Marc shares his scenic adventure along the charming Avenue Vert, setting the stage for a captivating exploration into the world of open-source large language models (LLMs). Christian and Marc delve into the heart of AI, examining the strengths and limitations of open models like Mistral, Meta's Llama, and Google's Gemma compared to closed systems such as GPT, Gemini or Claude. Discover the power of open weights and how they provide users with the flexibility to harness pre-trained parameters for a myriad of applications, shedding light on the architecture and performance of these rapidly evolving models.

As we navigate the nuanced landscape of AI, we compare the practicalities and strategic advantages of open versus closed LLMs. While open-source models may require a steeper learning curve and higher initial investment in technical expertise, they offer unparalleled customisation for specialised tasks and niche programming languages. Conversely, closed models like GPT-4 and Gemini shine in delivering cost-effective solutions for more general applications. We also delve into the strategic deployment of LLMs for on-device applications and the critical importance of data sovereignty in fields like healthcare. Tune in to gain a comprehensive understanding of how these developments might impact your projects and reshape your industry.

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Grab your mug, it's Data Coffee Break time with Christian and Marc! ☕️

This episode, we're brewing up a hot topic: RAG vs. Giant Context Windows. You might be wondering, what in the world is RAG and why should I care? Well, settle in because we're about to break it down for you, no matter if you're an AI rockstar or just dipping your toes into the data pool.

We'll be chatting about the latest news in the wild world of AI, then diving deep into this whole RAG situation. Is the future all about these Large Context Window models with millions of tokens, or will RAG still be the king of the castle? We'll explore the pros and cons of each approach, so you can see which one might be the better fit for your next project.

Plus, we won't just leave you hanging with theory! We'll also be uncovering the real-world uses for both RAG and LCLs. Think of it like peeking into the future and seeing how these technologies will change the game!

So, grab your favourite drink, hit play, and get ready for a stimulating conversation that will leave you hyped about the future of AI,

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Music by Skilsel.
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One year after our first attempt to predict the data trends of 2023, we look back into our prediction and reflect on how this year was transformative.
Then, we gear back into 2024 with a heated debate with Ivan Coelho, our infamous guest, to dissect what could be a transformative year for the Data and AI space.
Tune in and listen to our take for 2024 and some tips along the way.

Some interesting reading:
https://sloanreview.mit.edu/article/five-key-trends-in-ai-and-data-science-for-2024/

https://towardsdatascience.com/trends-that-will-shape-the-modern-data-stack-in-2024-6b7de28335c2

https://www.datacamp.com/blog/the-top-5-vector-databases

https://towardsdatascience.com/navigating-the-ai-landscape-of-2024-trends-predictions-and-possibilities-41e0ac83d68f#b80d

https://blog.eliassen.com/projecting-the-top-trends-in-data-in-motion

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Join Marc and Christian in our first episode of 2024 as we dive into an exhilarating discussion exploring the nuances between two groundbreaking frameworks - LangChain and LlamaIndex. ☕📊
In this episode, we've brewed up the perfect blend of insight and clarity for all levels of familiarity with frameworks for GenAI. Whether you're a seasoned data wizard or just dipping your toes into the vast ocean of data science, this episode promises to serve up a stimulating exploration!
📈 Understanding LangChain and LlamaIndex:
We'll unravel the intricacies, demystify the functionalities, and decode the practical applications of these cutting-edge frameworks. Marc and Christian will be your guides, leading you through the labyrinth of technical jargon, making sure every sip of information is comprehensible and enriching.
🌟 Highlights of the Episode:
Discover the key differences, strengths, and unique applications of LangChain and LlamaIndex. Delve into real-world scenarios,, and use cases that illuminate how these frameworks can revolutionise the way build GenAI applications grounded with our data.
🤝 For Everyone, Everywhere:
No matter your background or familiarity with data frameworks, this episode is tailored for all. Sit back, sip your favorite brew, and immerse yourself in this engaging conversation. Who knows? You might just find your new favorite data tool or gain a fresh perspective on familiar concepts!

So, grab your mug, settle into your favourite nook, and join Marc and Christian for a captivating discussion that promises to energise your curiosity and caffeinate your understanding of LangChain and LlamaIndex. Don't miss out - tune in for an eye-opening start to 2024 on "The Data Coffee Break"! ☕

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Buckle up for a caffeinated conversation as we dive deeply into the fascinating world of AI with our AI expert guest, Natalia Koupanu! A seasoned AI practitioner and director.

In this episode, Marc and Christian switch on their curiosity engines and get Natalia to share her AI wisdom. We kick things off with MLOps – yes, we'll break down the tech jargon for you! Then, we move on to the exciting universe of Generative AI, where Natalia paints a picture of how AI sparks creativity and content generation like never before.
But wait, it's not all tech talk! We also get honest about the quirks and challenges of the AI territory, and Natalia serves up some practical advice for engineers in the field. Plus, we dive into the fun stuff – discussing AI's wild, weird, and maybe risky side.

So, grab your favourite coffee mug, settle in, and prepare to be inspired by Natalia's AI adventures. This episode is your backstage pass to the world of AI engineering. Whether you're coding AI algorithms in your sleep or just starting to tinker, this is your kind of coffee break!

Follow Natalia on LinkedIn: https://www.linkedin.com/in/natalia-koupanou/

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Demos, you see, are more than just showing off cool stuff. They're your secret weapon for getting your message across, winning hearts, and nailing your goals. So, whether you're in pre-sales, consultancy, or want to level up your presentation game, this episode is for you!

Ivan, our recurrent guest and a demo legend, spills the beans on why having good discovery and a purpose behind your demo is the game-changer. Sometimes, it's not about flashy graphics; it's about saying the right stuff at the right time.

We're diving into actual stories and examples, revealing how to grab your audience's attention, keep them hooked, and, most importantly, get results with killer demos.

Ready to up your demo game or want to appreciate the art of communication? Well, buckle up and join us for a laid-back chat about turning your demos into something great but something that counts.

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Hey there, coffee lovers! Ready for another awesome episode of the Data Coffee Break Podcast? Get excited because Marc and Christian are back with a data talk on "Mastering Storytelling."

Brew a fresh cup, kick back, and join us as we dive into the world of storytelling – the secret sauce that turns bland data into gripping tales.

Prepare to amp up your storytelling skills with tips and tricks that Marc and Christian will provide. And guess what? It's not all about numbers and graphs; it's about infusing life into data!

Frameworks, anyone? You got it! We've got storytelling frameworks out of our sleeves that'll transform your data jargon into stories that'll have people on the edge of their seats.

But hold on, it's not all theory here. We're spicing things up with real-world examples where storytelling took data from 'meh' to 'wow.' Think it's impossible? Tune in, and we'll prove you wrong.

Don't worry if you're not a data guru; whether you're knee-deep in spreadsheets or just curious about storytelling's magic, this episode has something special for you.

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In this episode, Marc and Christian are joined by David Sigerson to explore the critical role of asking the right questions in data-driven decision-making and data literacy, the evolution of Machine Learning models, and the importance of focusing on business problems rather than technology.

Are you looking to hone your data-driven skills become more data literate. and understand the difference between statistics and machine learning models? Then this episode is for you!

David Sigerson is a seasoned Sales Engineer with 20+ years of experience in the data space and a Machine Learning and Statistics background.

Follow David:
https://www.linkedin.com/in/davidsigerson/

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Music by Skilsel.
This podcast represents our views and not the ones of our employers.