AI language models like ChatGPT and GPT-4 have transformed various fields, but they still struggle with one critical area: mathematical reasoning. In this video, we dive deep into the limitations of Large Language Models (LLMs) when it comes to solving complex math problems. Why do these advanced systems fail at basic calculations, logic, and more structured reasoning? We explore the reasons behind these limitations, the challenges AI faces in understanding mathematics, and what this means for the future of AI development. Join us to learn why LLMs aren’t ready to replace human expertise in math just yet!
🔹 Join the Blog and follow on social handles for engaging conversations about Software Architecture and Tech.
[ Ссылка ]
[ Ссылка ]
[ Ссылка ]
🔹 Capture, research, and manage your Second Brain 🧠 with Heptabase, a visual note-taking tool for learning complex topics: [ Ссылка ]
🔹 Link : ---
#llms #genai #generativeai #largelanguagemodels #systemdesign #llmops #mlops
------------------------------------------------------------------------------------------------------------------------------------------------------------
