Alexandra Ebert

Wrapping up an amazing #PyConDE & #PyDataBerlin! Looks like our team really enjoyed having a discussion about #Streamlit with Lukas Masuch and Arnaud Miribel. Want to learn more? Missed out PyCon? No worries! We're hosting a meetup in Mainz next week to discuss key trends & takeaways. Stay tuned for details and our write-up. #Germany #DataScience #predict42, #NLP

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Speaking about my participation in social dataviz challenges like #30DayChartChallenge at the Dataviz Meetup Bremen yesterday was great fun. Thanks to the group for all of your questions. I’m sharing the links to some resources that were requested: 💻 Code: ▸ I share the code for most of my (code-based) charts on Github. The repository for my plots created for the #30DayChartChallenge: https://lnkd.in/eWdkGpTV ▸ And my contributions to the 2023 #30DayMapChallenge: https://lnkd.in/emPteyQQ (change the year in the URL for 2021 and 2022). 📂 Datasets: ▸ On the Github repo for the #30DayChartChallenge 2024, you will find a collection of data sources, including links to the data repos for other dataviz challenges like #TidyTuesday or #MakeoverMonday https://lnkd.in/emPteyQQ  ▸ Statistisches Bundesamt / Destatis (German Statistics Office): https://www.destatis.de/EN ▸ Spotify API, see https://lnkd.in/eVwaZqBx. I use the {spotifyR} package to access the data. ▸ FBref.com for football data such as player career statistics and match results, accessed via {worldfootballR} package ▸ The Office full script: https://lnkd.in/eZ4shabx  ✨ Design: ▸ Material Design: https://lnkd.in/e-J54Y4A You can find the slides of the talk on Github: https://lnkd.in/eJr8magj Thanks again for the invitation to Dr. Niels Ohlsen, Gabriela Molina León, and Moritz Stefaner. #dataviz #datavisualization #ggplot2 

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What Karl says. There's going to be two amazing talks about Hopsworks based #ai and #ml systems: * Build a personalized Bitcoin (BTC) virtual assistant in Python with Hopsworks and LLM function calling by Javier de la Rúa Martínez (https://lnkd.in/eQfWpFRU ) * Build TikTok's Personalized Real-Time Recommendation System in Python with Hopsworks by Jim Dowling (https://lnkd.in/eXEHePjG) If you are in the #berlin area next week - go and take a look!

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SAP is taking Responsible AI to the next level. One the main concerns while using LLM for business use case is exposing the sensitive information to the LLM. What makes it a more challenging problem to solve is that the Promts are unstructured. SAP's GenerativeAi hub solves this by bringing structure to the unstructured prompt in three steps 1. Identify the sensitive information 2. Choose which all of these information should be annonimized before the Promts are sent to LLM 3. De- annonimize the information from the response. Seems so logical and this is what innovation is all about!!

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🧠 The myth: More data makes an #AI model smarter and therefore more accurate 💪 The truth: It’s not just about data—it’s about #parameters With the around OpenAI’s #GPT4o it might seem that feeding more data into these models makes them smarter, the real game-changer is the number of parameters they have like Meta #Llama 3.1 with 450b parameters 💡 More parameters mean these models can process and understand data in more sophisticated ways, leading to increased accuracy and the appearance of being “smarter.” More parameters = higher trustworthiness, even with more focused data like the proprietary #data in your organization In the world of conversational user interfaces becoming the norm, more parameters will be crucial for a seamless experience. While yet too slow and too expensive for real fast interactions between humans and machines, with #quantumcomputing we will move in a new area of responsible #UI #design #AI #MachineLearning #LLM #conversationaldesign #hmi #Innovation

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Today, the renowned Sepp Hochreiter – Austria’s leading AI expert in academia – mentioned during his keynote at Expedition KI 3.0 that LLMs (Large Language Models) aren’t interesting, and we should focus on “real” AI. I strongly disagree, and here’s why: By integrating LLMs into Multi-Agent Systems, companies can: • Boost efficiency: Automating tasks and increasing productivity. • Enhance decision-making: Analyzing data for strategic insights. • Stay ahead of the competition: Identifying and responding to market trends more quickly. • Cut costs: Optimizing processes to achieve substantial savings. • Personalize customer experiences: Delivering tailored interactions that improve satisfaction and retention. These are just a few of the many benefits. Of course, I suspect he might have been speaking sarcastically! 😉 Visit us at our stand! #expeditionki #expeditionki3.0 #flughafenwien #sunrai

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Meta is releasing Llama 3.1, the largest-ever open-source AI model, which the company claims outperforms GPT-4o and Anthropic’s Claude 3.5 Sonnet on several benchmarks. #Llama #GPT #Claude #Sonnet #LLM #AIMODEL #META #AIML

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#AI Large Action Models - erst der #Hype, dann die #Ernüchterung: "Should you buy this thing? That one’s easy. Nope. Nuh-uh. No way. The AI Pin is an interesting idea that is so thoroughly unfinished and so totally broken in so many unacceptable ways that I can’t think of anyone to whom I’d recommend spending the $699 for the device and the $24 monthly subscription." https://lnkd.in/e2qaHvFu

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#rag #genai and now #tag In the context of tables, RAG involves strategies like passing semi-structured documents with tables into LLMs, extracting tables for targeted retrieval, and preserving table structures during document chunking. This approach is crucial for applications involving complex documents with embedded tables, such as financial reports or technical manuals

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🚀 New Virtual Podcast Alert! 🚀 At TEDAI Vienna, Victor Riparbelli from Synthesia mentioned that our grandchildren might be the last to read and write, suggesting that GenAI could soon offer even better ways to deliver information and knowledge. Today, I was thinking about writing a post on agentic AI workflows. Then, I thought, why not having a chat with ChatGPT about it? And from there, the idea grew to how about recording it as a podcast? So here’s the twist: - I teamed up with ChatGPT, who takes the role of the host. - I am answering from my own knowledge. - Using voice cloning, my answers are delivered in my own voice, while GenAI shapes the conversation flow. 🎙️ In this episode, we discuss agentic AI workflows and explore how they’re transforming finance, research, and beyond. 🔍 Whether you’re interested in AI-driven credit risk analysis, financial insights, or advanced research tools, this episode has something for you! Tune in to discover: How agentic AI workflows are enhancing decision-making with powerful insights 💡 The evolving partnership between humans and AI assistants 🤝 Real-world applications making an impact today 🌐 Listen now and join the conversation on how AI is changing our world, one workflow at a time! #AI #AgenticAI #Podcast #VoiceClone #ChatGPT #MachineLearning #Innovation #Finance #Research #FutureOfWork #PwC

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🤖 𝐀𝐈 𝐇𝐮𝐦𝐚𝐧𝐞 𝐏𝐢𝐧: 𝐌𝐮𝐥𝐭𝐢-𝐌𝐨𝐝𝐚𝐥 𝐃𝐞𝐯𝐢𝐜𝐞 𝐭𝐡𝐚𝐭 𝐢𝐬 𝐖𝐞𝐚𝐫𝐚𝐛𝐥𝐞 𝐚𝐧𝐝 𝐄𝐚𝐬𝐲 𝐭𝐨 𝐔𝐬𝐞 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 𝐀𝐈 𝐇𝐮𝐦𝐚𝐧𝐞 𝐏𝐢𝐧 - 𝐲𝐨𝐮𝐫 𝐚𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 𝐚𝐧𝐝 𝐬𝐞𝐜𝐨𝐧𝐝 𝐛𝐫𝐚𝐢𝐧 𝐢𝐧 𝐭𝐡𝐞 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐚𝐠𝐞! 🌟 🌟 Whether it's making calls, sending messages, seeking answers, capturing moments, taking notes, or managing your digital world, AI Pin is here to streamline your experience and help you stay focused and efficient. 🌟 The release of AI Humane Pin has sparked some controversy, with discussions revolving around its potential impact on daily life and productivity. What are your thoughts on this innovative technology? Do you see it as a game-changer or do you have concerns about its implications? Credit: Wall Street Journal #AI #Technology #Innovation #AIHumanePin #FutureTech #DigitalAssistant #WearableTech #Productivity #TechTrends #ArtificialIntelligence #LinkedInPost

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Most discussions about AI remain centered on Silicon Valley, presenting a narrow, often US-focused perspective. But on the latest episode of #BBC #AIDecoded breaks that mold, taking the episode to #Berlin to explore Germany’s vibrant and unique #AIEcosystem. From #healthcare #innovations to #artisticcreativity, the episode highlights how Germany’s approach to AI reflects its cultural values, prioritizing trust, precision, and long-term impact. As the amazing co-presenter Stephanie Hare (and our guide for Berlin) aptly pointed out during the episode: “You can either be the first, or you can do it well.” Germany’s AI ecosystem embodies the latter—focusing on trust and excellence rather than speed. This perspective reminds us that innovation isn’t just about being first—it’s about delivering value that lasts. It’s going from a subject perspective to objective This shift in focus is a crucial reminder that AI’s global story cannot be confined to just the US or UK. Broadening the narrative to include diverse ecosystems like Germany’s reveals new ways of thinking about innovation—ones that challenge dominant paradigms and enrich our understanding of AI’s role in society. How can we ensure the global AI conversation is inclusive and representative of different cultural approaches? #ArtificialIntelligence #InnovationBeyondBorders #TrustInTech #AIDecoded #inclusiveAI #BerlinAI Seán Boyle Ramit Debnath Shannon Vallor Lynne Craig Dr Shama Rahman Yann Mathias Tyler Shores Mara Pometti Wakanyi Hoffman Payal Arora

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VentureBeat writes about Stability AI creating a new generative model called Stable Video 4D - accepting video input and creating videos for 8 different perspectives https://lnkd.in/eBNPXmA8. #videogeneration #generativeai #stabilityai #stablevideo4d #artificialintelligence #venturebeat

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The EU AI Pact is a crucial step in creating a comprehensive and ethical AI framework for Europe. It encourages organizations to adopt the upcoming AI Act, which aims to mitigate AI risks. By joining the pact, participants commit to transparency, risk management, and building trust in AI. This is a precursor to the EU AI Act, which will establish a unified regulatory framework across EU countries.

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