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Arriving tomorrow! Your fun + intuitive guide to these #AI algorithms: * k-Means * k-NN * Perceptron * Maximal Margin Classifier * SVMs * Decision Trees * Boosting * Random Forests * Ensemble Models * Naive Bayes * Linear Regression * Logistic Regression * Neural Networks

For those who missed my personal news last month, I've quit Google. I'm doing a bit of blogging to answer all the questions I've been getting about why I left, what it was like, and how things are going now that I'm on my own. bit.ly/quaesita_quit1

Now in a single video: Making Friends with #MachineLearning (#MFML) Enjoy all 6.5 hours of Google’s legendary #AI course designed to enlighten AI beginners, grow technology leaders, inform better citizens, and amuse AI experts! Don't forget to RT 💖 bit.ly/funaicourse

An MIT Media Lab study made its viral rounds last week. It showed that if students outsource cognitive effort to ChatGPT, they don’t end up as cognitively engaged. Let me rephrase that: if you get a machine to do your homework without engaging with the content, you don’t learn the material. I suppose next we’ll learn that using a forklift doesn’t build your biceps. (Don’t test my love for you, MIT.) This study is about cognitive offloading, not cognitive debt, and most certainly not cognitive erosion. Cognitive offloading happens when great tools let us work a bit more efficiently and with a bit less mental effort for the same result—the spreadsheet didn’t kill math; it built billion-dollar industries. Why should we want to keep our brains using the same resources for the same task? If anything, the real question isn’t how much we’re offloading. It’s what we’re doing with the capacity we free up. I wrote more about this very topic in my latest Substack 👉 decision.substack.com/publish/post/1… If you found this useful, a repost ♻️ makes my heart happy. And a subscription to my newsletter makes my day. decision.substack.com #ai #neuroscience

Let's talk about AI hype. I'll be honest with you, I've been a little bit embarrassed to be associated with AI recently. Human achievement is incremental, but where's our patience for it? We got a massive speedup on progress, yet the expectations seem to be that we should be solving all of [fill in your favorite massive challenge for humankind] in a week. No, a day. Yesterday! Can we calm down, please? AI is just another approach to automation. Automation is not new and it's not "solved." There is so much good stuff in the AI space, but reality doesn't read like a cheap sci-fi paperback. Whatever you're seeing in the tech news either usually took years or is smoke and mirrors. My team and I spend a lot of time thinking about how long things would take in a perfect world where we had a perfect technology in our hands. (No one has that. And if I ever say something else in a pitch, it's time to put me out of my misery.) There's always plenty to solve that's not about the tech. The most important part isn't what we *can* do. The most important part is what we *should* do and why we should do it and for whom... "You've got to start with the customer experience and work backwards to the technology.... It has to start with 'What incredible benefits can we give to the customer?' Not 'let's sit down with the engineers and figure out what awesome technology we have and then figure out how we can market that." Steve Jobs said this at WWDC '97, but 26 years later the sentiment holds! Sure, I'm loving this latest AI wave. It's fun to build things that were previously impossible to build, and it's exciting to theorize on where this will be 15-20 years from now! But as a consumer — and new CEO — of AI products, I understand the AI disillusionment that's been creeping up recently. People have been promised magic, but LLMs are still just a tool! They can drive incredible results *and* they are imperfect tools that need a lot more work. Remember your audience and what problem you're trying to solve. Selling to enterprise? Consider their scalability and security needs. Selling to developers? Consider their savvy and how they'll use your product. Consumers are smart. They want things that actually solve problems. Technology is cool, but the industry wins when products are built to solve specific problems for specific people. ************ Speaking of balanced takes, I'm always delighted to promote webinars by Akmal Chaudhri, Esq. of SingleStore (let's continue to encourage him to stay one of the good guys). Here's his next one: 🚀 Info 🚀 Webinar: Apache Spark + OpenAI for Personalized Banking Services When: Tuesday, April 16 2024 at 1:00-2:00 PM Eastern Time Instructor: Akmal Chaudhri of SingleStore Price: Free 🚀 Sign-up link 🚀 bit.ly/recowebinar42 As always, registering gives you the option of downloading a recording later if watching it in real time isn't an option. 🍿 What it promises to cover: 🍿 * Learn how to leverage Apache Spark and OpenAI for real-time data processing and analysis * Discover the latest trends and best practices in AI and big data development for personalized banking services * Learn how to implement AI models using popular frameworks and libraries * Get insights into new tools for AI development in the banking industry #DataEngineering #MachineLearning #AI #Sponsored #TechEd #Webinar #Coding #Ap

Fun fact: my whole team operates in email. No Slack, no Teams. (Go on, bring on your pitchforks, I see you. 🔱 ) We optimize for timeliness, clarity, focus, retrieval, expediency, easter eggs. As 🦾Jepson Taylor and I build our new startup, we're very conscious of our tools and systems. I've been in tech for many years, so I've tried all the options and here's what I landed on: we're heavy on email because we find Gmail less distracting and more efficient. Here's why 👇 ✉ Optimized for retrieval: Email search isn't perfect, but everything is in my inbox so things aren't getting buried in threads or side channels. We use filters, folders, and snooze, so everything is where we need it, when we need it. ✉ Losing ephemeral things: We have a rule against putting stuff we might need later into instant messaging apps. Pings are for grabbing attention, so we set our phones to notify for pings but not for emails. If it's urgent, I get a random emoji text or ping and this tells me... you guessed it! ...to check my email. If it's on fire, I get a call. ✉ TO-DO to-done: Every task, subtopic, and action item gets its own email thread. Open tasks stay in my inbox (or get snoozed until the time is right to do battle with them); completed or irrelevant topics get archived/deleted. We integrate with Asana, since it's easy to turn an email into an Asana task, e.g. for the Asana project my EA manages, I cc a fellow I've named "qAdmin Asana". All you do is you creatively name an email contact whose email is the Asana project email. ✉ Emails are just like DMs: We've done away with Victorian pleasantries in email. Internally, we don't use any “hello's” or “best wishes”, we use email exactly like a DM. When we're worried that the tone might come off as harsh, we soften with an emoji or a meme. It's fun to see a new language emerge. 🐊 ✉ Speech-to-txt: Whenever we're in danger of verbose emails, we opt for a doc or a voice note with speech-to-text instead. And of course we use LLMs for summarization and creation of notes for our internal wiki The Slack fanclub looooves that Slack integrates with everything. As far as I'm concerned, that's a bug not a feature. Its UX makes bad behavior easy: you lose stuff all the time, important contributions get buried by banter, and your team is constantly bombarded with distractions. I prefer intentional tool selection that's fit for purpose. But I'm always up for having my mind changed, so hit me: who's for Slack and who's against? **** For non-comms tools, I think we can all agree that we want to get the best performance as possible. So here's a webinar that the MongoDB users will not want to miss: Accelerate MongoDB® Apps to Drive 100x Faster Analytics and AI. 📷 Info 📷 Webinar: Accelerate MongoDB® Apps to Drive 100x Faster Analytics and AI When: Wednesday, April 17 2024 at 1:00-2:00 PM Eastern Time Instructor: Vijay Raja, Manish Kumar, and Spandana Rachamdugu of SingleStore Price: Free 📷 Sign-up link 📷 bit.ly/recowebinar43 As always, registering gives you the option of downloading a recording later if watching it in real time isn't an option. 📷 What it promises to cover: 📷 * How to augment MongoDB® with SingleStore Kai™ to drive 100x faster aggregations and analytics on JSON data * See benchmarks on sample queries and see a live demo comparing performance side-by-side * Perform real-time CDC-in from MongoDB® using a native CDC connector * Discover SingleStore’s native support for vector functions to power fast semantic search on JSON using simple SQL queries #DataEngineering #MachineLearning #AI #Sponsored #TechEd #Webinar #Coding

🦇 📈📉 🎃 My idea for a #data-loving couple's #Halloween costume: How about "Correlation and Causation" where the one who's usually at fault for household badness gets to dress up as Causation?

AI is all about using data to fuel automation... so let's talk about the economics of data and why data will disappoint you: bit.ly/quaesita_datad…

Will #AI #replace software #engineers? Top engineers are paid not for their ability to script (to express themselves in code) but for their ability to understand the architecture of software systems and to write the kind of code that plays nicely with the rest of their organization’s complex codebase. They know that their work is more than simply translating their thoughts into a programming language, it’s about understanding the implications of their technical choices. While AI will effectively automate the former, automating the latter is a tall order. Here's my answer, along with others, featured in this ZDNET piece: bit.ly/zdnet_swes Read on for my longer take...

What are so. incredibly. fast... and also estimated to be a $623.8m market in the next two years? Gold star for anyone that correctly guessed vector databases! You may not be familiar with vector DBs, but they have unparalleled efficiency for handling high-dimensional data. They operate under the hood using vectors that are produced using pre-trained encoders, and calculate Euclidean distances between your request and ALL of the encoded items. Did I mention they do it *incredibly* fast? Companies like Netflix, Spotify, and Airbnb all use vector databases. And you can too. 🍿Join for a live demo and codeshare in this introduction to the foundational concepts of vector dbs.🍿 🚀 Info 🚀 Webinar: Beginner's Guide to Vector Des: Introductory Overview When: Wednesday, April 3 2024 at 1:00-2:00 PM Eastern Time Instructors: Professor Tom Yeh of University Colorado Boulder and Akmal Chaudhri of SingleStore Price: Free 🚀 Sign-up link 🚀 bit.ly/recowebinar36 As always, registering gives you the option of downloading a recording later if watching it in real time isn't an option. 🍿 What it promises to cover: 🍿 * The fundamental principles of vector databases and their role in AI and ML. * How vector databases outperform traditional databases in speed and efficiency, particularly in similarity searches. * Insights from industry leaders like Andrew Ng on the value of data management in AI. * Real-world applications of vector databases in companies like Netflix, Spotify, and Airbnb. * An overview of open-source vector databases and how they're shaping the future of data handling. #DataEngineering #MachineLearning #AI #Sponsored #TechEd #Webinar #Coding #Apps

I’m on this week’s episode of DataFramed! Catch me in conversation with Richie Cotton [@richierocks] from @DataCamp, covering misconceptions around data science, stereotypes associated with being a data scientist, what the reality of working in data science is, advice for those starting their career in data science, the challenges of being a data ‘jack-of-all-trades’ and much more. The episode is now live on: DataCamp: bit.ly/3ESmKfm Spotify: spoti.fi/3POqtRc Apple Podcasts: apple.co/3PuBAxs …as well as a whole host of other listening platforms. Listen for my insights on making better decisions.

You won't want to miss this one. OpenAI pulled off an incredible launch this week. But it's not just about what you see in the demos, it's about what you can actually build yourself. Join this free webinar for a hands-on look at GPT-4o and learn how to create more intuitive and responsive applications. 🍿There will be a live demo on how to integrate GPT-4o into your projects via API.🍿 Shout out to @MorningBrew for my favorite GPT-4o meme of the day. Share your favorite GPT memes in the comments, and make sure to sign up for the webinar below: 🚀 Info 🚀 Webinar: GPT 4o for Developers: Hands-On with OpenAI's Spring Release When: Friday, May 17 2024 at 1:00-2:00 PM Eastern Time Instructor: Ayush Pai of SingleStore Price: Free 🚀 Sign-up link 🚀 bit.ly/recowebinar49 As always, registering gives you the option of downloading a recording later if watching it in real time isn't an option. 🍿 What it promises to cover: 🍿 * The core functionalities of GPT-4o and its application in real-time human-computer interaction. * How GPT-4o's enhanced capabilities can be utilized to develop more intuitive and responsive applications. * Practical demonstrations on integrating GPT-4o into your projects via API. * Insights into the future of AI development and the potential of multimodal models. #DataEngineering #MachineLearning #AI #Sponsored #TechEd #Webinar #Coding #App

For those who missed my personal news last month, I've quit Google. I'm doing a bit of blogging to answer all the questions I've been getting about why I left, what it was like, and how things are going now that I'm on my own. bit.ly/quaesita_quit1

Now in a single video: Making Friends with #MachineLearning (#MFML) Enjoy all 6.5 hours of Google’s legendary #AI course designed to enlighten AI beginners, grow technology leaders, inform better citizens, and amuse AI experts! Don't forget to RT 💖 bit.ly/funaicourse

Arriving tomorrow! Your fun + intuitive guide to these #AI algorithms: * k-Means * k-NN * Perceptron * Maximal Margin Classifier * SVMs * Decision Trees * Boosting * Random Forests * Ensemble Models * Naive Bayes * Linear Regression * Logistic Regression * Neural Networks

An MIT Media Lab study made its viral rounds last week. It showed that if students outsource cognitive effort to ChatGPT, they don’t end up as cognitively engaged. Let me rephrase that: if you get a machine to do your homework without engaging with the content, you don’t learn the material. I suppose next we’ll learn that using a forklift doesn’t build your biceps. (Don’t test my love for you, MIT.) This study is about cognitive offloading, not cognitive debt, and most certainly not cognitive erosion. Cognitive offloading happens when great tools let us work a bit more efficiently and with a bit less mental effort for the same result—the spreadsheet didn’t kill math; it built billion-dollar industries. Why should we want to keep our brains using the same resources for the same task? If anything, the real question isn’t how much we’re offloading. It’s what we’re doing with the capacity we free up. I wrote more about this very topic in my latest Substack 👉 decision.substack.com/publish/post/1… If you found this useful, a repost ♻️ makes my heart happy. And a subscription to my newsletter makes my day. decision.substack.com #ai #neuroscience

Fun fact: my whole team operates in email. No Slack, no Teams. (Go on, bring on your pitchforks, I see you. 🔱 ) We optimize for timeliness, clarity, focus, retrieval, expediency, easter eggs. As 🦾Jepson Taylor and I build our new startup, we're very conscious of our tools and systems. I've been in tech for many years, so I've tried all the options and here's what I landed on: we're heavy on email because we find Gmail less distracting and more efficient. Here's why 👇 ✉ Optimized for retrieval: Email search isn't perfect, but everything is in my inbox so things aren't getting buried in threads or side channels. We use filters, folders, and snooze, so everything is where we need it, when we need it. ✉ Losing ephemeral things: We have a rule against putting stuff we might need later into instant messaging apps. Pings are for grabbing attention, so we set our phones to notify for pings but not for emails. If it's urgent, I get a random emoji text or ping and this tells me... you guessed it! ...to check my email. If it's on fire, I get a call. ✉ TO-DO to-done: Every task, subtopic, and action item gets its own email thread. Open tasks stay in my inbox (or get snoozed until the time is right to do battle with them); completed or irrelevant topics get archived/deleted. We integrate with Asana, since it's easy to turn an email into an Asana task, e.g. for the Asana project my EA manages, I cc a fellow I've named "qAdmin Asana". All you do is you creatively name an email contact whose email is the Asana project email. ✉ Emails are just like DMs: We've done away with Victorian pleasantries in email. Internally, we don't use any “hello's” or “best wishes”, we use email exactly like a DM. When we're worried that the tone might come off as harsh, we soften with an emoji or a meme. It's fun to see a new language emerge. 🐊 ✉ Speech-to-txt: Whenever we're in danger of verbose emails, we opt for a doc or a voice note with speech-to-text instead. And of course we use LLMs for summarization and creation of notes for our internal wiki The Slack fanclub looooves that Slack integrates with everything. As far as I'm concerned, that's a bug not a feature. Its UX makes bad behavior easy: you lose stuff all the time, important contributions get buried by banter, and your team is constantly bombarded with distractions. I prefer intentional tool selection that's fit for purpose. But I'm always up for having my mind changed, so hit me: who's for Slack and who's against? **** For non-comms tools, I think we can all agree that we want to get the best performance as possible. So here's a webinar that the MongoDB users will not want to miss: Accelerate MongoDB® Apps to Drive 100x Faster Analytics and AI. 📷 Info 📷 Webinar: Accelerate MongoDB® Apps to Drive 100x Faster Analytics and AI When: Wednesday, April 17 2024 at 1:00-2:00 PM Eastern Time Instructor: Vijay Raja, Manish Kumar, and Spandana Rachamdugu of SingleStore Price: Free 📷 Sign-up link 📷 bit.ly/recowebinar43 As always, registering gives you the option of downloading a recording later if watching it in real time isn't an option. 📷 What it promises to cover: 📷 * How to augment MongoDB® with SingleStore Kai™ to drive 100x faster aggregations and analytics on JSON data * See benchmarks on sample queries and see a live demo comparing performance side-by-side * Perform real-time CDC-in from MongoDB® using a native CDC connector * Discover SingleStore’s native support for vector functions to power fast semantic search on JSON using simple SQL queries #DataEngineering #MachineLearning #AI #Sponsored #TechEd #Webinar #Coding

🦇 📈📉 🎃 My idea for a #data-loving couple's #Halloween costume: How about "Correlation and Causation" where the one who's usually at fault for household badness gets to dress up as Causation?

Who needs an #AIPC? 🤖 Trick question: everyone! AI-powered apps are for all of us, not just the AI pros. From Zoom blurs to productivity apps, these @IntelBusiness machines handle it all—no more slooow performance and tragicomic battery life for your toaster! Thanks, Intel, for keeping me future-ready by gifting me an ultra-powerful AI machine for home and a sleek touchscreen AI laptop for travel (the Dell Latitude 5450 and the Dell Latitude 9450 2-in-1 respectively, both powered by #IntelCoreUltra Processors with the #IntelvPro platform). More on AI-ready hardware here: bit.ly/quaesita_aipc P.S. Still need names for these beauties… What's the best laptop name you've ever come up with? Put your suggestions for your most creative/amusing laptop names in the comments! #IntelAmbassador Click here to find out more intel.ly/3Alg3DJ bit.ly/quaesita_aipc

Will #AI #replace software #engineers? Top engineers are paid not for their ability to script (to express themselves in code) but for their ability to understand the architecture of software systems and to write the kind of code that plays nicely with the rest of their organization’s complex codebase. They know that their work is more than simply translating their thoughts into a programming language, it’s about understanding the implications of their technical choices. While AI will effectively automate the former, automating the latter is a tall order. Here's my answer, along with others, featured in this ZDNET piece: bit.ly/zdnet_swes Read on for my longer take...

Will #AI be a bloodbath for white-collar jobs? #Anthropic CEO Dario Amodei seems to think so—he made headlines warning that AI could wipe out up to 50% of all entry-level white-collar roles within the next 5 years. While we can debate the exact figure, I won’t quibble: a lot of work is about to be automated. AI isn’t just a helper anymore—it’s becoming a full-blown replacement for the repetitive, digitized, “thunking” tasks that fill so many junior roles. If you’re not paying attention, you’re at risk of missing the train entirely. Here’s the uncomfortable truth: What you see from AI today isn’t the ceiling—it’s the floor. The cutting-edge research is far ahead of what’s in your hands. Even the most notoriously janky AI products—like #OpenAI’s Operator or #Google’s Project Mariner—could get a massive capability boost almost overnight, just by cranking up the compute (and, with it, the costs). The real bottleneck? Companies and customers aren’t ready to pay for what’s already possible. We’re stuck in an awkward moment where the tech is ready, but the market—and the culture—aren’t. That gap won’t last forever. AI isn’t some far-off fantasy—it’s the next wave of automation, and it’s already reshaping industries. The problem isn’t that AI is “coming for your job”—it’s that the tasks we once thought were too complex to automate are suddenly on the table. Copying, pasting, filling out forms, writing first drafts of emails—those are the tasks AI is best at. And that means the entry-level training grounds we’ve relied on for generations—where people cut their teeth and build their skills—are vanishing fast. Where will the next generation of talent come from if we don’t rethink our pipelines? Let’s be clear: the next few years will be rough, especially for junior employees. AI is far less of a threat to those with industry experience, deep domain expertise, or strong networks. But if you’re doing work that “anyone can do,” AI will soon be able to do it too. I won’t sugarcoat this, so let me say it again for the folks in the back: ⚠️ If anyone can do it, AI will soon be able to do it too. ⚠️ If you’re a student or just entering the workforce, now is the time to build relationships, seek out mentors, and cultivate a love of learning—because the treadmill is real, and it’s only speeding up. The future belongs to those who can adapt quickly and learn the new rules of new games. If you’re a leader, this is your moment to lead with compassion. Not everyone loves a constant challenge, and some implicit promises—about stable career paths, about learning your trade and coasting—are about to be broken. AI can empower us to aim higher, but only if we stay nimble. Your job is to build safe learning spaces, empower your teams to experiment with AI tools, and create clear pathways for growth beyond the tasks AI will automate. Let’s not just brace for impact—let’s get ready to lead through it.

If you're amused by my musings on #data, #AI and #decisionmaking, what's your favorite way of feasting on them? (Looking for motivation to create more lovable things for you to enjoy--would love to know which formats you're most likely to like so I don't end up wasting effort.)

It's rare that I recommend a book before I've finished it, but I'd rather share this one while you are more likely to have some time off, because it's utterly charming so far: Beyond Measure by James Vincent @jjvincent. And if any of you have book recommendations that sit somewhere in the liminal space between delight and learning - perfect for the time just before the new year - please pop them in the comments for us. amazon.com/Beyond-Measure…

You might want to know what 🕷️security pests🕷️ the reference chatbot architecture from a16z is harboring before you use it… and what it means for the state of AI security! Background: Ask Astro is an astronomy chatbot modeled on reference LLM app architecture from Andreessen Horowitz (that hallowed VC firm whose name you're likely to have seen abbrev. @a16z), so you'd think it would be secure, right? After all, it's a fairly straightforward example of a Retrieval Augmented Generation (RAG) application. Because it comes from a16z, this architecture is an influential guide that many developers reference in the hopes of building scalable and robust AI solutions within the tech industry... and unfortunately it's crawling with badness. A team at cybersecurity firm @trailofbits, led by my friend @dguido, did a comprehensive security audit of Ask Astro and discovered several substantial "hybrid ML security" issues in it that blur the line between machine learning and systems security. These include split-view data poisoning, prompt injection, and GraphQL injection... these are all ways that attackers can manipulate the chatbot’s responses by exploiting weaknesses in how data is handled. Glossary: 🕷️ Split-view data poisoning occurs when an attacker changes online data after it's been indexed by the system, leading to discrepancies between what's stored and what's currently true. 🕷️ Prompt injection involves inserting misleading cues to make the AI generate specific, often incorrect, outputs. 🕷️ GraphQL injection exposes the chatbot to potential data breaches by allowing attackers to craft malicious queries that manipulate the database interactions, potentially leaking or corrupting data. Here's a link to the blog post, which you should definitely share with whoever on your team is responsible for AI security: bit.ly/trailofbits1 (Not kidding, this is useful to them. The security audit also provides best practices that can benefit anyone developing similar technologies. Go on, send it, I'll wait. Also, if you're using AI at work and *no one* is responsible for AI security, well, uh-oh. Share this with whoever's in charge, then.) Now, for the rest of us, what does it mean? People seem to be taking for granted that AI security is in a better place than it actually is. We're complacent. See that picture of the baby car seat from the 1950s? AI today looks to AI security experts like that baby car seat looks to you. What could possibly go wrong? No one is saying that we should all stop driving, but pretty please take the idea of seat belts and safety-oriented design seriously. Same goes for AI. But right now we're all driving without seatbelts. Drop your questions in the comments, since the folks from Trail of Bits will be watching this space today to answer anything you want to know about AI security. bit.ly/trailofbits1

A riddle! Name something both helped and hurt by AI. . . . . . . . . There are probably many answers to that, but the right answer today is 🔎 FRAUD 🔍. Fraudsters are creating more sophisticated phishing scams by using GenAI to create fake voices, images, videos and paper trails. But the good guys are starting to wield AI as well, particularly LLMs... which can be very helpful for: - Analyzing transaction data to spot anomalous patterns such as unusually large transfers or frequent small transactions. - Detecting phishing attempts and fraudulent communication by analyzing the language and structure of emails. - Understanding typical customer behavior and flagging deviations that indicate account takeover or fraud attempts. - Evaluating the authenticity of documents like invoices, receipts, and contracts by comparing them against known legitimate documents. There's a free webinar on Wednesday exploring cutting-edge applications of LLMs in combating financial fraud. 🕵️‍♂️ We'll investigate various LLMs' effectiveness and dive into some real-world examples and success stories. 🕵️‍♂️ 🚀 Info 🚀 Webinar: LLMs in Fraud Detection: Model Comparisons When: Wednesday, May 22 2024 at 1:00-2:00 PM Eastern Time Instructor: Akmal Chaudhri of SingleStore Price: Free 🚀 Sign-up link 🚀 bit.ly/recowebinar52 As always, registering gives you the option of downloading a recording later if watching it in real time isn't an option. 🍿 What it promises to cover: 🍿 * An overview of various LLMs and their specific applications in fraud detection. * Comparative insights into the effectiveness of different models in identifying and preventing fraud. * The role of AI in transforming fraud detection strategies to be more adaptive and proactive. * Real-world examples of AI-driven fraud detection successes and the lessons learned * Future trends in AI and machine learning for fraud prevention. #DataEngineering #MachineLearning #AI #Sponsored #TechEd #Webinar #Coding #App

You won't want to miss this one. OpenAI pulled off an incredible launch this week. But it's not just about what you see in the demos, it's about what you can actually build yourself. Join this free webinar for a hands-on look at GPT-4o and learn how to create more intuitive and responsive applications. 🍿There will be a live demo on how to integrate GPT-4o into your projects via API.🍿 Shout out to @MorningBrew for my favorite GPT-4o meme of the day. Share your favorite GPT memes in the comments, and make sure to sign up for the webinar below: 🚀 Info 🚀 Webinar: GPT 4o for Developers: Hands-On with OpenAI's Spring Release When: Friday, May 17 2024 at 1:00-2:00 PM Eastern Time Instructor: Ayush Pai of SingleStore Price: Free 🚀 Sign-up link 🚀 bit.ly/recowebinar49 As always, registering gives you the option of downloading a recording later if watching it in real time isn't an option. 🍿 What it promises to cover: 🍿 * The core functionalities of GPT-4o and its application in real-time human-computer interaction. * How GPT-4o's enhanced capabilities can be utilized to develop more intuitive and responsive applications. * Practical demonstrations on integrating GPT-4o into your projects via API. * Insights into the future of AI development and the potential of multimodal models. #DataEngineering #MachineLearning #AI #Sponsored #TechEd #Webinar #Coding #App