ChatGPT & Co: Einblick in die Welt der KI-Sprachmodelle – Neue Folge von “Die Digitalisierung und Wir”

Wie funktioniert ChatGPT? Wie funktionieren KI-Sprachmodelle und wofür braucht man sie?
Wie funktioniert ChatGPT? Wie funktionieren KI-Sprachmodelle und wofür braucht man sie?

Habt ihr euch jemals gefragt, wie es möglich ist, dass ihr heute eine Unterhaltung mit eurem Computer führen könnt? In unserer neuesten Podcast-Episode von Die Digitalisierung und Wir gehen wir genau dieser Frage nach. Wir, Alexander Loth und Florian Ramseger, stellen euch die Welt der Large Language Models (LLMs) wie GPT-4 vor und erklären, wie sie funktionieren und wofür sie eingesetzt werden können.

Wie funktioniert ChatGPT & Co?

Neben OpenAI, dem Entwickler von ChatGPT, gibt es eine Reihe anderer Anbieter von LLMs. In unserer Episode stellen wir einige davon vor und diskutieren, wie ChatGPT im Alltag eingesetzt werden kann – von der Texterstellung bis hin zur Unterstützung bei alltäglichen Aufgaben.

Wo geht die Reise mit diesen beeindruckenden Sprachmodellen hin? Wir werfen einen Blick in die Zukunft und diskutieren, wo und wie wir diesen fortschrittlichen Technologien begegnen könnten.

ChatGPT, KI Sprachmodelle und die Transformer-Technologie

Aber wie funktionieren KI Sprachmodelle wie ChatGPT eigentlich aus technischer Sicht? Wir erklären die bahnbrechende Transformer-Technologie, die den LLMs zugrunde liegt, und werfen einen Blick auf ihre Erfinder.

Trotz ihrer beeindruckenden Fähigkeiten haben auch diese Modelle ihre Grenzen. Wir sprechen über die derzeitigen Herausforderungen und Einschränkungen der LLMs und was dies für die Zukunft bedeutet.

Vorgestellte Apps

In unserer Episode gehen wir auf praktische Tools ein, die den Alltag erleichtern und die Anwendung von KI veranschaulichen. Headspace ist ein großartiges Beispiel dafür, wie Apps durch gezielte Entspannungstechniken und Achtsamkeitsübungen das Wohlbefinden steigern können. Mit dem Code MOMDAD60 habt ihr die Möglichkeit, Headspace für 60 Tage kostenlos zu testen und in die Welt der Meditation einzutauchen.

Ebenso stellen wir Snipd vor, eine App, die es ermöglicht, wichtige Momente aus Podcasts schnell zu erfassen und zu speichern. Dies ist besonders nützlich für diejenigen unter euch, die sich für die neuesten Trends und Diskussionen im Bereich der digitalen Transformation und KI interessieren.

Lesenswerte Bücher

In Bezug auf die Lektüre sprechen wir in der Episode über das Buch Decisively Digital, das einen tiefen Einblick in die Anwendung von KI im Geschäftskontext bietet. Das Buch ist eine essenzielle Ressource für alle, die verstehen möchten, wie GPT und andere KI-Technologien die Geschäftswelt nachhaltig verändert und wie man diese Technologie effektiv einsetzen kann.

Das Buch Decisively Digital von Alexander Loth gibt Einblicke in die Anwendung von KI in der Geschäftswelt.
Das Buch Decisively Digital gibt Einblicke in die Anwendung von KI in der Geschäftswelt.

Als Kontrast dazu empfehlen wir den Thriller Ausgebrannt von Andreas Eschbach. Dieser Roman fesselt nicht nur durch seine spannende Handlung, sondern regt auch zum Nachdenken über die potenziellen Auswirkungen von Technologie auf unsere Gesellschaft an. Es ist ein perfektes Beispiel dafür, wie fiktive Szenarien helfen können, reale technologische Entwicklungen besser zu verstehen und kritisch zu reflektieren.

„ChatGPT & Co: Einblick in die Welt der KI-Sprachmodelle – Neue Folge von “Die Digitalisierung und Wir”“ weiterlesen

2024 AI Predictions: Artificial General Intelligence and the Road to Proto-AGI

2024 AI Predictions: Artificial General Intelligence and the Road to Proto-AGI
2024 AI Predictions: Artificial General Intelligence and the Road to Proto-AGI

As 2023 draws to a close, the field of Artificial Intelligence (AI) stands on the cusp of a transformative leap. With GPT-4 setting a precedent in multimodal and code interpretation capabilities, we edge closer to what many term as Artificial General Intelligence (AGI). This post delves into the probable trajectory AI may take in 2024, especially in the context of AGI.

Defining AGI and Its Emerging Spectrum

AGI is envisioned as an entity akin to human intelligence, exhibiting cognition, common sense, and knowledge. It is characterized by its human-like ability to comprehend, analyze, and engage in multi-step instructions and display apparent goals and pseudo-emotions. AGI spans a spectrum, ranging from ‚error-prone‘ or ’savant-like‘ sub-human intelligence to super-intelligence.

GPT-4: A Proto-AGI Precursor

The release of GPT-4 by OpenAI marked a significant milestone. It demonstrated vision capabilities and code interpretation, inching closer to higher-level cognitive abilities. Rumors of experiments with long-term memory suggest that integrating these components could result in a proto-AGI – an entity that meets some AGI criteria but lacks human precision and speed.

Predictions for 2024: The AI Landscape

  • OpenAI’s Next Leap: OpenAI is poised to unveil a more agent-like model. Anticipated to feature long-term memory and task-execution capabilities, this model – possibly named distinctively from the GPT lineage – might represent a nascent form of AGI.
  • Industrial Humanoid Robots: Beta deployments of humanoid robots in industrial settings will augment or replace human labor in specific tasks.
  • Text-to-Video Evolution: Expect breakthroughs in text-to-video technology, though generalization remains a challenge.
  • Synthetic Dataset Proliferation: AI training relying heavily on synthetic datasets could introduce hard-to-detect biases.
  • Medical AI Breakthrough: AI’s contribution to a major medical discovery is highly likely.
  • Public Sentiment and AI: Public opinion on AI will become increasingly polarized, with anti-AI sentiments emerging alongside widespread adoption.

Ethical, Financial, and Hardware Barriers to True AGI

While the path to AGI seems more tangible, ethical dilemmas, financial constraints, and hardware limitations remain formidable barriers. The upcoming elections will likely witness a surge in Generative AI for Fake News production, demanding AI-driven countermeasures.

Conclusion: Preparing for AI’s Leap Forward

2024 stands as a pivotal year in AI development, potentially heralding even more radical transformations. While absolute predictability is unattainable, rational analysis of existing trends can help us prepare for the likely scenarios. If 2024 aligns with these expectations, the journey to true AGI could be closer than we imagine, constrained predominantly by ethical, financial, and hardware limitations.

Newsletter: Data & AI Digest #3

Generated with DALL-E

Welcome to the latest edition of the ‚Data & AI Digest‘, where we voyage through the cascading waves of data and AI innovations. This edition is brimming with fresh advancements, critical discussions, and a sprinkle of controversy that showcases the dynamic nature of our field. Let’s delve into the highlights:

  1. [Generative AI] OpenAI’s DALL-E 3 Revolution: OpenAI unveils the third iteration of its acclaimed DALL-E visual art platform. Experience enhanced contextual understanding, seamless ChatGPT integration, and bolstered security in this generative marvel: Dive deeper.
  2. [Microsoft] AI Integration in Windows 11: Microsoft introduces Copilot, bringing the prowess of GPT-4 to Windows 11. Engage with this new AI assistant across various applications and discover Bing’s support for DALL.E 3: Explore Copilot.
  3. [ChatGPT] Internet-Savvy ChatGPT: OpenAI supercharges ChatGPT with real-time internet scanning capabilities, ensuring your interactions are backed by the most recent information. Discover the new browsing rules ensuring respectful web interaction: Unveil the update.
  4. [Finance AI] Morgan Stanley’s Wealth Management AI: In collaboration with OpenAI, Morgan Stanley is launching a generative AI chatbot aimed at revolutionizing wealth management. Explore this new virtual assistant’s journey from conception to deployment: Read more.
  5. [Meta] AI-Powered Creativity Unleashed: Meta unfolds new AI experiences across its app ecosystem. Dive into the AI-powered assistants, characters, and creative tools enriching digital interactions: Discover more.
  6. [Artistic Stand] AI Image Generation Sparks Debate: Chinese artists rally against a major social media platform over AI-generated imagery concerns. Uncover the discourse between creativity and AI: Join the discussion.
  7. [Google] Privacy-Forward AI Training: Google unveils an opt-out feature for publishers wary of contributing to AI training datasets. Explore the implications for data privacy and AI development: Learn more.
  8. [Amazon] Generative AI on Amazon Bedrock: AWS heralds a new era of generative AI innovation with the rollout of Amazon Bedrock. Uncover the powerful new offerings accelerating the AI frontier: Explore Bedrock.

If you found value in this edition, share the knowledge with colleagues and friends. For those keen on diving deeper into discussions and networking, the LinkedIn Data & AI Hub awaits your insights. Until the next issue, where we’ll venture further into the data and AI cosmos, thank you for your continued support and curiosity.

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4 Years at Microsoft: AI, Power BI, and A Future Full of Possibilities

Me at Microsoft Redmond campus - Celebrating 4 years at Microsoft
Me at Microsoft Redmond campus – Celebrating 4 years at Microsoft

Today marks my 4-year anniversary at Microsoft. Reflecting on this milestone, I’m filled with gratitude for a year that has been the most turbulent and exhilarating of my career. The integration of AI into our products has been groundbreaking, and the velocity of development has been extraordinary. Here’s a look back at last year’s achievements.

The Year of AI: A Game Changer for Microsoft

  1. AI Integration Across Products: This year, AI has found its way into almost every product, transforming the way we work, interact, and innovate. The collaboration with OpenAI has brought additional excitement and potential to our AI initiatives.
  2. GPT-4 and Bing: As I highlighted in GPT-4 Launches Today: The Rise of Generative AI from Neural Networks to DeepMind and OpenAI, Bing’s integration of GPT-4 has significantly enhanced its search capabilities, providing more accurate and personalized results.
  3. The Rise of Generative AI: Microsoft’s partnership with OpenAI focuses on democratizing AI models like GPT and DALL-E. We’ve already integrated GPT into Power BI and are actively developing integrations across products, including Outlook, PowerPoint, Excel, Word, and Teams. Read more about The Rise of Generative AI here.
  4. Power BI Mastery: My latest book, Teach Yourself VISUALLY Power BI (Amazon), is designed to help users of all levels master this robust data visualization software. It’s part of Microsoft’s commitment to making powerful tools accessible and user-friendly. The book is a testament to our shared mission to empower every person. Learn more about mastering Power BI here.

Looking Forward: Embracing the Future with a Growth Mindset

The people around me have made this journey truly special. From motivating work to a team I love and leadership I respect, the human aspect has been the cornerstone of my Microsoft experience. The future holds exciting challenges, and it’s the wisdom, creativity, and passion of our team that fills me with optimism.

I’m sure the coming years will continue to be fast-paced, filled with innovation and growth. With an extraordinary team by my side, I look forward to embracing the challenges and joys ahead.

Stay Connected: Follow Me for More Insights on Microsoft, AI, and Power BI

The experiences we’ve shared have shaped me, and I’m grateful for every moment. I invite you to join our ongoing conversation about AI, digital transformation, Power BI, and more. Follow me on Twitter and LinkedIn, and let’s continue learning together.

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