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Orchestrate all the Things

George Anadiotis

Stories about Tech, Data, AI and Media, and how they flow into each other shaping our lives.

Some might call this futurism; let’s just say it’s connecting the dots.

With George Anadiotis: Analyst, Consultant, Engineer, Founder, Host, Researcher, and Writer.

1-1s with esteemed guests; from the likes of Gary Marcus and Andrew Ng to emerging thinkers and innovators across multiple domains.

My stories have been featured on ZDNet and VentureBeat, and are syndicated across DZone, Hackernoon, Medium and Substack.

The show and its themes have evolved over 7 seasons and ~150 episodes.

Many conversations have a technical focus. Most also examine business perspectives and use cases, while others are socio-technical.

Some are analyses on emerging themes – picking them up early, featuring expert comment, or offering alternative takes.

Others cover breaking news, typically also featuring the people behind them plus some analysis. There are some book reviews as well.

I focus on the connection between data, analytics, data science, graphs, machine learning and AI and their impact on society and business.

I have been covering topics related to:

  • AI and Machine Learning
  • Data, Analytics and Data Science
  • Knowledge Graphs, Graph Databases, Graph AI & Data Science
  • Innovation, and a wide array of technologies such as Blockchain, Cloud, Observability, IoT, Open Data and Open Source, Social Media and Software Engineering.

For inquiries, please use https://linkeddataorchestration.com/contact/

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  • 21 episodes
  • monthly
  • Avg 49 min
  • English

Episodes 21

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  • S7 · E7
    September 15 · 58 min

    Mapping the Jagged Frontier of AI: Libraries, Ladders, Loops and Graphs. Feat. Carlos E. Perez, Intuition Machine Co-Founder

    What does a three decade-long path of working with AI and asking what separates human cognition from a machine's look like? The answer says as much about the machines as it does about us. At eleven years old, Carlos Perez was already choosing between two possible futures. One was first contact with an alien civilization. The other one was building AI. He picked Inner space over outer space. The route there wasn't direct. After deep learning broke through around 2012, Perez eventually concluded that These are systems that you actually grow - more similar to biology than to physics. Perez co-founded The Intuition Machine in 2015, and he has published a number of books and essays on AI. He also works with Fannie Mae as a a Consultant, providing AI strategy and architecture guidance for the Enterprise Architecture organisation. We explore his path of discovery and tinkering: from AI's uneven capabilities to what's actually changing between model generations, enterprise architecture, AI harnesses, loop engineering and graph engineering for AI agents. Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2026/09/15/mapping-the-jagged-frontier-of-ai-libraries-ladders-loops-and-graphs/

  • S7 · E6
    July 23 · 42 min

    The Skill, Not the Stack: A Decade Ahead on Decision Intelligence. Featuring Fred Laluyaux, Aera Technology Founder & CEO

    Talk about what the technology can do, not how it does it. That's the decision Fred Laluyaux made with Shariq Mansoor when they founded Aera ten years ago, and it's still how the company talks about its decision intelligence platform today. Decisions sit at the center of what Aera builds. Aera automates, augments, and digitizes the thousands of decisions companies make every day to run their business. Aera pioneered the decision intelligence category years before generative AI gave the industry a vocabulary for it: agents, skills, memory, decision traces, context – graphs even. From the start, Aera was conceived as an agent, in the spirit of the digital assistants of that era. Laluyaux championed the word "skills" years before the major AI players made it common currency. He co-founded Aera in 2016, before GenAI and large language models, and has served as CEO since. In this conversation, Laluyaux traces the arc from DJing in Paris to building SAP's finance line of business to Aera's decade-long bet that decisions -- not dashboards -- are the unit that matters. And why, he argues, letting AI take on more of the decision doesn't have to mean losing control. Laluyaux's analogy: he trusts a Waymo with his kids more than an Uber driver because he can see exactly how each choice is made. That is what decision intelligence is really about. This episode is brought to you by Aera Technology: https://www.aeratechnology.com

  • S7 · E5
    June 1 · 1 hr 2 min

    Fair Patterns: Designing for Human Autonomy in the Age of AI. Featuring Marie Potel-Saville, Fair Patterns Co-Founder & CEO

    We live in a world fraught with interfaces designed to work against you. Most people sense it. Few can prove it, and fewer still are trying to fix it. There is a particular kind of frustration that arrives when you understand a problem perfectly and cannot do a single useful thing about it. Marie Potel-Saville spent years living inside that frustration. First as a competition lawyer cycling through antitrust litigation across Europe. Then as in-house counsel watching the law get treated as a cost center. She pivoted, trained in innovation by design, and launched her first company in 2018. Potel-Saville was looking for the gap between what the law said and what the internet did to people. She found it immediately. The term was “dark patterns.” And her first instinct – the instinct of a lawyer and a builder – was to ask a question nobody in the field had thought to ask: what’s the antidote? That question eventually became Fair Patterns, a multimodal AI platform that detects online manipulation and addictive design at scale. Fair Patterns went live in January 2026, and recently won the 2026 Digital StartUp award in cybersecurity and sovereignty. It is trying to redefine digital products and online experiences. Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2026/06/01/dark-pattern-detection-how-fair-patterns-uses-ai-to-fight-back/

  • S7 · E4
    April 16 · 58 min

    The Engineer in the Machine: How Neo Is Rewriting What It Means to Build AI. Featuring Gaurav and Saurabh Vij, Neo Co-Founders

    A fully autonomous machine learning engineering agent. A benchmark that matters. And a question that cuts deeper than the hype: when a machine does the work, what happens to the learning part? The race to automate software engineering is expanding to new territory: machine learning. Neo is a fully autonomous machine learning engineering agent that handles the entire pipeline from problem statement to deployed model. Built by Gaurav and Saurabh Vij, Neo topped the MLE-Bench leaderboard and compressed a six-month production effort into one week. The harder question Neo raises - whether agentic AI accelerates learning or hollows it out - remains open. Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2026/04/16/autonomous-machine-learning-engineering-agent-neo/ --- The fundamentals still matter - arguably more, not less, as AI systems get more capable. Get up to speed with Pragmatic AI Training: From data literacy to data science, governance, and responsible, Pragmatic AI Learn what you need to work alongside AI, go beyond the hype. Custom quotes available. 👉 http://pragmaticai.training

  • S7 · E3
    March 18 · 29 min

    AI Without the Magic: From Connected Thinking to Pragmatic AI. Featuring Michel Bauwens, P2P Foundation Founder

    Everyone's talking about AI. Few people actually understand it, and even fewer are asking the right questions about what it means to live and work alongside it. In this episode, we sit down with Michel Bauwens, founder of the P2P Foundation and one of the sharpest thinkers on civilisation, technology, and collective intelligence. We talk about what AI actually is - and isn't - why the hype creates real risks and damage, and what it looks like to use these tools without giving away your agency or critical thinking. Article published on Fourth Generation Civilization: https://4thgenerationcivilization.substack.com/p/the-pragmatic-role-of-ai-in-the-civilizational

  • S7 · E2
    February 25 · 49 min

    Connected Thinking: On History, Technology, and the Art of Seeing What's Coming. Featuring Michel Bauwens, P2P Foundation Founder

    What if the chaos around us isn't collapse, but transformation? Michel Bauwens has spent decades mapping the edges of change. From peer-to-peer networks to the commons, from medieval guilds to distributed autonomous organizations, he's been tracking something most people miss: the seeds of a new civilization, already growing underneath the noise. In this conversation, we explore how the internet didn't just connect computers - it created an entirely new plane of human organization. One where people coordinate across the planet without hierarchies, intermediaries, or anyone giving orders. They call it cosmolocalism. What is heavy stays local. What can be shared, travels everywhere. But this isn't just theory. It's a lens. A way of reading history that tells you exactly where you are, and what's worth building right now. Are you post-seasonal, clinging to a logic whose time has passed? Seasonal, playing the current moment well? Or pre-seasonal, working on the seeds that will matter when the time is ripe? The caterpillar, Michel reminds us, already carries the DNA of the butterfly. This is Connected Thinking. Join us. Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2026/02/25/connected-thinking-on-history-technology-and-the-art-of-seeing-whats-coming/

  • S7 · E1
    January 29 · 56 min

    Foundations or vibes? Lessons learned from using AI in software engineering. Featuring Greg Foster, Graphite Co-Founder & CTO

    Software engineering is being transformed by AI faster than any other domain. Unpacking how this transformation is playing out may offer a glimpse into the future Greg Foster's journey into software engineering began in an unlikely place: a Nevada high school where he couldn't land a job at Starbucks. Instead of serving coffee, he taught himself software development. Foster developed what he calls "a lifelong obsession with the craft of software engineering". That obsession evolved from building apps to building for other builders. From Airbnb cofounding Graphite, where he now serves as CTO running what he calls "a dev tools team for the entire industry". Foster is now building the future of software development with Cursor. Foster doesn't just have a front seat to watch how AI is changing software engineering - he gets to shape the change. We caught up and talked about the past, present and future of software engineering. The takeaway? There is a world of difference between vibes and solid foundations for software engineering at scale. Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2026/01/29/foundations-or-vibes-lessons-learned-from-using-ai-in-software-engineering/

  • S6 · E8
    Oct 2, 2025 · 48 min

    Pragmatic AI adoption: from AI literacy to futures literacy. Featuring Elisa Lindinger, SUPERRR Co-founder

    What does it mean to be pragmatic about AI adoption, while staying true to the values and mission driving people and organizations? When Elisa Lindinger decided to talk about AI, her intention was to say what she had to say once, and then move on with her life without having anyone ask about AI ever again. The plan backfired heavily, but somehow, that turned into a good thing. Lindinger is the Co-founder of SUPERRR, an independent non-profit organization. SUPERRR was created to serve the thesis is that digital policy is social policy, and it needs bold visions and feminist values. Like most other individuals and organizations today, Lindinger's inbox has been flooded with new invitations every day. Invitations to discuss AI, to facilitate workshops on feminist AI, or the inevitable coaching offer to finally learn how to prompt properly. This made Lindinger feel that other topics that are just as crucial are disappearing from the conversation. "AI and Unlikelihood" was an attempt to situate how the people at SUPERRR view the phenomenon of AI, and why they believe it’s essential to return our attention to other topics as well. What happened instead was that SUPERRR's post got viral on LinkedIn, reigniting the topic of AI and stealing the limelight. An algorithmic glitch? Perhaps. But SUPERRR's stance of rejecting the narrative of blind adoption of generative AI resonated with many people. We met with Lindinger to explore the nuance behind what some might superficially call a Luddite approach, and to talk about setting priorities right, imagining futures people want to live in, and how to go From AI literacy to futures literacy. With cracks in the AI narrative beginning to show, the backdrop could not be more timely. Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2025/10/02/pragmatic-ai-adoption-from-futurism-to-futuring/

  • S6 · E7
    Aug 19, 2025 · 40 min

    Breaking the AI bubble: Big Tech plus AI equals economy takeover. Featuring Georg Zoeller, Centre for AI Leadership Co-Founder

    Whether we like it or not, and despite tales of its powers being greatly exaggerated, the AI genie is out of the box. What does that mean, and what can we do about it? In another twist of abysmal AI politics, OpenAI CEO Sam Altman just admitted that we are in an AI bubble, and AGI is losing relevance. You may find this baffling or hilarious, or you may be wondering where does that leave the AI influencer types. But despite the absurdity, AI and the associated narrative have gotten way too important to dismiss. Connecting the dots to make sense of it all calls for long-standing experience in AI, engineering, business and beyond. In other words, for people like Georg Zoeller: a seasoned software and business engineer experienced in frontier technology in the gaming industry and Facebook. Zoeller has been using AI in his work dating back to the 2010’s, to the point where AI is now at the core of what he does. Zoeller is the VP of Technology of NOVI Health, a Singapore-based healthcare startup, as well as the Co-Founder of the Centre for AI Leadership and the AI Literacy & Transformation Institute. In a wide-ranging conversation with Zoeller, we addressed everything from AI first principles to its fatal flaws and its place in capitalism. Today, we discuss regulatory capture, copyright, the limits of the attention economy, the new AI religion, the builder's conundrum, how the AI-powered transformation of software engineering is a glimpse into the future of work, AI literacy and how to navigate the brave new world. First part of the conversation: https://pod.co/orchestrate-all-the-things-podcast-connecting-the-dots-with-george-anadiotis/poking-holes-in-the-ai-narrative-market-signalling-and-outsourcing-featuring-georg-zoeller-centre-for-ai-leadership-co-founder Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2025/08/19/breaking-the-ai-bubble-big-tech-plus-ai-equals-economy-takeover/

  • S6 · E6
    Jul 16, 2025 · 48 min

    Poking holes in the AI narrative: Market Signalling and Outsourcing. Featuring Georg Zoeller, Centre for AI Leadership Co-Founder

    Can AI work reliably at scale? Will everything be outsourced to AI? Will AI replace CEOs? Why is everyone riding the AI bandwagon, and where is it headed? These are the type of questions you would ask someone with long-standing experience in AI, engineering, business and beyond. Georg Zoeller is that someone: a seasoned software and business engineer experienced in frontier technology in the gaming industry and Facebook. Zoeller has been using AI in his work dating back to the 2010's, to the point where AI is now at the core of what he does. Zoeller is the VP of Technology of NOVI Health, a Singapore-based healthcare startup, as well as the Co-Founder of the Centre for AI Leadership and the AI Literacy & Transformation Institute. Zoeller has lots of insights to share on AI. And yet, the reason we got to meet and have an extensive, deep and fun conversation was a joke gone wild. Story published on Orchestrate all the Things: https://linkeddataorchestration.com/2025/07/16/poking-holes-in-the-ai-narrative-market-signalling-and-outsourcing-replace-ceos/

  • S6 · E5
    Jun 11, 2025 · 1 hr 1 min

    Building AI for Earth with Clay: The intelligence platform transforming Geospatial data analysis. Featuring Clay Executive Director Bruno Sánchez

    How a rocket scientist turned entrepreneur created the "ChatGPT for Earth data" using transformers and satellite imagery. Bruno Sánchez is a rocket scientist with a somewhat deviant trajectory. An astrophysicist by training, he used the tools of his trade - mathematics and science - at the broadest possible scale: the universe. At some point, however, his focus switched to using those same tools for more down to earth goals. Sánchez had a stint at the World Bank, where as a member of interdisciplinary teams he helped make sense of geospatial data. Then he realized the core of what he was doing was mapping, which prompted him to launch a company called Mapbox, providing online maps on the web. This experience brought another realization for Sánchez - that we have so much data about Earth that we don't really know how to use it: "We know what are the trees in the world. We know what are the forests in the world. It's just a matter of processing [data] properly", as he put it. So when he got the opportunity to attempt to put all of that together in the same data center and in one workbench, he went for it. That was the Planetary Computer project at Microsoft, and Sánchez loved it. Then, ChatGPT happened. Sánchez noted that the T in ChatGPT - the transformer - was an architecture that seemed to work great for modalities such as text, images, and audio, but no one seemed to be using it for earth data. So he decided to give it a try. He built a team, raised funds, created a non-profit, and built an open source model using open data. And this is how Clay was born. Read the article published on Orchestrate all the Things here: https://linkeddataorchestration.com/2025/06/11/building-ai-for-earth-with-clay-the-intelligence-platform-transforming-geospatial-data-analysis/

  • S6 · E4
    May 5, 2025 · 50 min

    From Raw Performance to Price Performance: A Decade of Evolution at ScyllaDB. Featuring Felipe Mendes and Guilherme Nogueira

    In business, they say it takes ten years to become an overnight success. In technology, they say it takes ten years to build a file system. ScyllaDB is in the technology business, offering a distributed NoSQL database that is monstrously fast and scalable. It turns out that it also takes ten years or more to build a successful database. This is something that Felipe Mendes and Guilherme Nogueira know well. Mendes and Nogueira are Technical Directors at ScyllaDB, working directly on the product as well as consulting clients. Recently, they presented some of the things they've been working on at ScyllaDB's Monster Scale Summit, and they shared their insights in an exclusive fireside chat. This episode is sponsored by ScyllaDB. Read the article published on ScyllaDB's blog here: https://www.scylladb.com/2025/05/05/from-raw-performance-to-price-performance/ #NoSQL #Database #DatabaseEvolution #RaftProtocol #Cloud #DataConsistency #DatabaseScaling #TechInnovation #Opensource

  • S6 · E3
    Apr 9, 2025 · 47 min

    The Quality Imperative: Why Leading Organizations Proactively Evaluate Software and AI Systems. Featuring Yiannis Kanellopoulos, code4thought CEO / Founder

    As enterprise systems shift from deterministic software to probabilistic AI, forward-thinking organizations leverage proactive quality assessment to maximize value, minimize risk and ensure regulatory compliance In today's rapidly evolving technological landscape, ensuring the quality of both traditional software and AI systems has become more critical than ever. Organizations are increasingly relying on complex digital systems to drive innovation and maintain competitive advantage, yet many struggle to effectively evaluate these systems before, during, and after deployment. Yiannis Kanellopoulos is on the forefront of software and AI system quality assessment. He is the founder and CEO of code4thought, a startup specializing in assessing large-scale software systems and AI applications. We connected to explore the challenges and opportunities of quality assessment and share insights both for developers and for people responsible for technology decisions within their organizations. Read the article published on Orchestrate all the Things here: https://linkeddataorchestration.com/2025/04/09/the-quality-imperative-why-leading-organizations-proactively-evaluate-software-and-ai-systems-and-how-you-can-too/

  • S6 · E2
    Mar 11, 2025 · 1 hr 14 min

    Knowledge Graphs as the essential truth layer for Pragmatic AI. Featuring Tony Seale, The Knowledge Graph Guy

    Organizations are facing a critical challenge to AI adoption: how to leverage their domain-specific knowledge to use AI in a way that delivers trustworthy results. Knowledge graphs provide the missing "truth layer" that transforms probabilistic AI outputs into real world business acceleration. Knowledge graphs are powering products for the likes of Amazon and Samsung. The Knowledge graph market is expected to grow to $6.93 Billion by 2030, at a CAGR of 36.6%. Gartner has been advocating for the role of knowledge graphs in AI and the downstream effects in organizations going forward for the last few years. Neither the technology nor the vision are new. Knowledge graph technology has been around for decades, and people like Tony Seale were early to identify its potential for AI. Seale, also known as "The Knowledge Graph Guy", is the founder of the eponymous consulting firm. In this extensive conversation, we covered everything from knowledge graph first principles to application patterns for safe, verifiable AI, real-world experience, trends, predictions, and the way forward. Read the article published on Orchestrate all the Things here: https://linkeddataorchestration.com/2025/03/11/knowledge-graphs-as-the-essential-truth-layer-for-pragmatic-ai/

  • S6 · E1
    Jan 29, 2025 · 57 min

    AI Chips in 2025: The end of “more GPUs is all you need”? Featuring InAccel CEO / Founder Chris Cachris

    It’s early 2025, and we may already be witnessing a redefining moment for AI as we’ve come to know it in the last couple of years. Is the canon of “more GPUs is all you need” about to change? Truth is, when we arranged a conversation on AI chips with Chris Kachris, neither the Stargate Project nor DeepSeek R1 had burst onto the AI scene. Even though we did not consciously anticipate these developments, we knew AI chips is a topic that deserves attention, and Kachris is an insider. Join us as we explore how the AI chip market is shaped today and tomorrow. AI chips and open source AI models are all part of the comprehensive curriculum on Pragmatic AI Training that is being developed by Orchestrate all the Things: https://linkeddataorchestration.com/services/training/pragmatic-ai-training/ Subscribe to the newsletter to be the first to know and enjoy discounted rates: https://linkeddataorchestration.com/orchestrate-all-the-things/newsletter/ Check out the article published here for additional background and references: : https://linkeddataorchestration.com/2025/01/29/ai-chips-in-2025-the-end-of-more-gpus-is-all-you-need/

  • S5 · E7
    Sep 4, 2024 · 29 min

    You.com raises $50M to lead AI for Knowledge Workers. Featuring you.com Co-Founder Richard Socher

    You.com showcases the state of AI today The story of you.com is multi-faceted and telling in many ways. You.com was founded in 2020 by Richard Socher, one of the leading NLP (Natural Language Processing) researchers in the world, to offer a better search experience to users and compete with Google. With a startup exit and a Chief Data Scientist stint at Salesforce, Socher got the experience, network and backing he needed to pursue his long-time ambition of taking on Google. That's something few people have tried, with moderate success. Socher diagnosed early enough that the way to success is by carving a niche for you.com. You.com focuses on serving knowledge workers in "complex informational / action searches": elaborate queries, and queries that are really about accomplishing a task, respectively. In 2022, in the pre-ChatGPT era, Socher set out a course for you.com based on AI, apps, privacy, and personalization. In 2024, you.com is staying the course, but a few things have changed. In the GenAI era the competition is growing, and borrowing pages from you.com’s book. Language model providers such as OpenAI and Anthropic now offer services similar to you.com. Upstarts such as perplexity.ai have sprung up, and Google itself is embracing the AI approach to search. You.com is making progress too. Since launching in November 2021, you.com has served 1 billion queries and has millions of active users, including from Fortune 500. The company's ARR has grown by 500% since January 2024. Today, you.com announced a $50 million Series B funding round, as well as a new team plan called Multiplayer AI. We caught up with Socher, talked about the news, and took you.com for a spin. Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2024/09/04/you-com-raises-50m-to-lead-ai-for-knowledge-workers/

  • S5 · E6
    Jul 1, 2024 · 59 min

    Data Rules: From interoperability to commensurability. Featuring "Data Rules" author Jannis Kallinikos

    "Data Rules" is a book about data, but not just about big data crunching. A book about the relationship of data with economic institutions and society, but also about the interplay with data technologies by which data are being generated and processed. A book that is critical, but not ideological. This is how Jannis Kallinikos describes "Data Rules: Reinventing the Market Economy", a book co-authored by himself and Cristina Alaimo and recently published by The MIT Press. Jannis Kallinikos is Full Professor of Organization Studies and the CISCO Chair in Digital Transformation and Data Driven Innovation at LUISS University, Rome. This is where we met to talk about the key concepts in "Data Rules": Understanding data generation and use How data is breaking boundaries Platforms and choice The illusion of objectivity Algorithms, agency and surveillance From market and design rules to data rules Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2024/07/01/data-rules-from-interoperability-to-commensurability/

  • S5 · E5
    May 16, 2024 · 40 min

    Universal semantic layer: Going meta on data, functionality, governance, and semantics. Featuring Cube Co-founder Artyom Keydunov

    What is a universal semantic layer, and how is it different from a semantic layer? Are there actual semantics involved? Who uses that, how, and what for? When Cube Co-founder Artyom Keydunov started hacking away a Slack chatbot back in 2017, he probably didn't have answers to those questions. All he wanted to do was find a way to access data using a text interface, and Slack seemed like a good place to do that. Keydunov had plenty of time to experiment, validate, and develop Cube, as well as get insights along the way. We caught up and talked about all of the above, as well as Cube's latest features and open source core. Article published on Orchestrate all the Things.

  • S5 · E4
    Mar 27, 2024 · 25 min

    Neo4j partners with Microsoft, unfolds strategy to power Generative AI applications with cloud platforms and Graph RAG. Featuring Neo4j CPO Sudhir Hasbe

    From better together to full native integration, Neo4j is creating an ecosystem around all major cloud platforms to provide graph-powered features for Generative AI and beyond. As Neo4j just announced its partneship with Microsoft, we met with Chief Product Officer Sudhir Hasbe to talk about: What this partnership means for users and how it works How graph-powered generative AI aligns with cloud platform AI strategies Similarities and differences across them How Neo4j's strategy is shaping up, and when Databricks and Snowflake integration are coming. For additional analysis and a writeup of the conversation, you can read the article published on Orchestrate all the Things: https://linkeddataorchestration.com/2024/03/27/neo4j-partners-with-microsoft-unfolds-strategy-to-power-generative-ai-applications-with-cloud-platforms-and-graph-rag/

  • S5 · E3
    Mar 6, 2024 · 50 min

    Evaluating and building applications on open source Large Language Models. Featuring Deci CEO / Co-founder Yonatan Geifman

    If we look at the current status quo in AI as a case of demand and supply, what can we do to close the gap between the exponentially growing demand on the side of AI models and the linearly growing supply on the side of AI hardware? This formulation was the premise on which Yonatan Geifman co-founded Deci in 2019. Today, with the generative AI explosion in full bloom, demand is growing faster than ever, and Deci is a part of this by contributing a number of open source models. Join us as we explore: How AI models are different than traditional software and what open source means in AI Choosing between GPT-4, Claude 3 and open source LLMs Customizing LLMs and fine-tuning vs. RAG Evaluating LLMs Market outlook Article published on Orchestrate All the Things: https://linkeddataorchestration.com/2024/03/06/evaluating-and-building-applications-on-open-source-large-language-models/

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