8,616
edits
Paradox-01 (talk | contribs) |
Paradox-01 (talk | contribs) mNo edit summary |
||
| Line 560: | Line 560: | ||
* '''ANI''' = Artificial Narrow Intelligence, '''specialized or "weak AI"''' (basically machine learning: pattern recognition) | * '''ANI''' = Artificial Narrow Intelligence, '''specialized or "weak AI"''' (basically machine learning: pattern recognition) | ||
* GPT = Generative pre-trained transformers (Large Language Model with the actual "learning" part de facto outsourced to humans: Reinforcement | * '''GenAI''' = Generative AI, its a significant step between ANI and AGI. GenAI included at least three major points: | ||
** The new transformer architecture (GPT). | |||
** The actual data-holding model, including its parameters and weights. Most often, this is a Large Language Model (LLM) or a Large Multimodal Model (LMM). The learned data consist of statistical patterns about text, images, or other media. Very most of the original raw data cannot be reconstructed from the model. | |||
** Reinforcement learning from human feedback (RLHF) and (its successor RLAIF) can be named as another important feature that added a reward model for higher quality and alignment. | |||
** Other features like COT, MoE, the use of external tools (e.g. via MCP) and context expansion are better described as incremental improvements in the evolution of GenAI.<!-- | |||
* GPT = Generative pre-trained transformers (Large Language Model with the actual "learning" part de facto outsourced to humans: Reinforcement learning from human feedback (RLHF), in best case GPTs have a ''transplanted base intelligence'' but they lack the important feature to really learn for themselves. Low quality "synthetic data" can even worsen the models. | |||
:: After the obvious slowdown in advancement through scaling, chain of thought (COT) was introduced. It is also known under the marketing term "reasoning [AI]". (See: Gemini 2.0 Flash Thinking and ChatGPT o3, the later one especially [https://techxplore.com/news/2024-12-ai-human-general-intelligence.html trained to cheat … erm ... score high in the ARC-AGI test].) | :: After the obvious slowdown in advancement through scaling, chain of thought (COT) was introduced. It is also known under the marketing term "reasoning [AI]". (See: Gemini 2.0 Flash Thinking and ChatGPT o3, the later one especially [https://techxplore.com/news/2024-12-ai-human-general-intelligence.html trained to cheat … erm ... score high in the ARC-AGI test].) | ||
:: This pushes ANI somewhat more into direction of AGI with the drawback of slower response times and higher energy costs. | :: This pushes ANI somewhat more into direction of AGI with the drawback of slower response times and higher energy costs.--> | ||
* '''AGI''' = Artificial General Intelligence, also "strong AI" ('''on par with human thinking''', ''a real AI'' capable to fully self-improve and drive its own development) | * '''AGI''' = Artificial General Intelligence, also "strong AI" ('''on par with human thinking''', ''a real AI'' capable to fully self-improve and drive its own development) | ||
:: In discussions AGI is often equated with super intelligence. The argument is that as soon as AGI is achieved ASI is just around the corner. | :: In discussions AGI is often equated with super intelligence. The argument is that as soon as AGI is achieved ASI is just around the corner. | ||
edits