EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·22d ago·5 min read
Chat-based Large Language Models replicate the mechanisms of a psychic's con
TL;DR
Chat-based large language models (LLMs) are often mistaken for intelligent systems, but they merely generate mathematically plausible text responses without true reasoning capabilities. This misunderstanding highlights a significant gap between perceived and actual functionality of LLMs.
✦ Why It Matters
Ensure your team understands the limitations of LLMs to avoid misapplications in projects.
Key Takeaways
- Recognize that LLMs do not possess true intelligence.
- Understand the psychological effects influencing user perceptions of AI.
- Be cautious of overestimating AI capabilities in business applications.
- Educate stakeholders on the limitations of generative AI technologies.
How It Works
LLMs generate responses based on statistical patterns in language rather than reasoning. They utilize techniques similar to cold reading, where vague statements are interpreted as personal insights due to cognitive biases like subjective validation.