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Google DeepMind's new Gemini model looks amazing–but could signal peak AI hype
- teleforce 3y agoNope, it is just the beginning and it is only a year or so that ChatGPT-3 was released that jumpstart the new waves of intelligent and useful GPT based LLM chatbots, and we are now at version 4. According to Google, their novel and native multi-modal Gemini model is still in its infancy of version 1.0. If any company can harness the power of big data information it's Google with its mission statement of organizing the world's data and ownership of multiple popular and pervasive Internet software applications namely Google Search, Google Books, Google Patent, Google Video (YouTube), Google Map, Gmail, Deepmind, etc. Check this paper out, even without further innovations LLM can be significantly improved, Eight Things to Know about Large Language Models (LLM) [1]: 1) LLMs predictably get more capable with increasing investment, even without targeted innovation. 2) Many important LLM behaviors emerge unpredictably as a byproduct of increasing investment. 3)LLMs often appear to learn and use representations of the outside world. 4)There are no reliable techniques for steering the behavior of LLMs. 5) Experts are not yet able to interpret the inner workings of LLMs. 6) Human performance on a task isn’t an upper bound on LLM performance. 7) LLMs need not express the values of their creators nor the values encoded in web text. 8) Brief interactions with LLMs chatbots are often misleading. [1] Eight Things to Know about Large Language Models: https://wp.nyu.edu/arg/eight-things-to-know-about-large-language-models/ https://wp.nyu.edu/arg/eight-things-to-know-about-large-lang...