Human versus #AI – episode 50 – the emerging capabilities of LLMs like GPT-4

🔍📚 Two research papers, two different perspectives on the emerging capabilities of large language models like GPT-4. 🤔💡

1️⃣ The first paper, "Emergent Abilities in Large Language Models: Mirage or Reality?", challenges the idea that large language models possess emergent abilities. The authors suggest that these abilities might be an illusion created by the choice of metrics used to evaluate model performance. 📏🔍

2️⃣ The second paper, "Interacting with GPT-4: An Early Look," highlights GPT-4's impressive capabilities, covering a variety of domains and tasks. However, it also acknowledges GPT-4's limitations, such as its lack of current world knowledge, its difficulty with symbolic operations, and its inability to execute code. 🚀🧠

So, emerging capacities: reality or illusion? 🎭🌈 Make up your own mind! 🧐💭

#HAVE#NLP#GPT4#Research#EmergentAbilities#MachineLearning 🤖📈🌐

🦾🦾🦾 The text above is generated by #ChatGPT
💪💪💪 Notes on the method:
1️⃣ Using the AskYourPDF Plugin
2️⃣ Summary of the first research paper: https://lnkd.in/e7GkHYuE
3️⃣ Comparison with the second research paper: https://lnkd.in/gdPR9xEy. In addition, Sebastien Bubeck's conference at MIT: (https://lnkd.in/e2XQ5635
4️⃣ Fitness for LinkedIn
5️⃣ Suggested image according to the subject (iceberg as an allegory of the emergent properties of the model) and made with Microsoft Designer

source: https://www.linkedin.com/feed/update/urn:li:activity:7066291625282412545/

To learn more: read our article on the meaning of generative AI et how generative AI actually works.