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Caio Temer speaks on LLMs and Ai and AGi & the possibility for them becoming conscious.
Collaborative efforts involve creating language models using Facebook's FastText, demonstrated in Colab notebooks and GitHub repositories:
- [Colab 1](https://colab.research.google.com/drive/1wVQrpzyY-SkCZTRZCcP6xJGRdg1ik0jR#scrollTo=pIW6-VwMuRlz)
- [Colab 2](https://colab.research.google.com/drive/1oABIZr1xiIu7DKc7AbbZfeBJFLkZW6Ep#scrollTo=XfR-3PpPYoFU)
- [GitHub Repository](https://github.com/rtkclouds/fast-js-language-model)
Additionally, you can find more details in the provided [GitHub gists](https://gist.github.com/rtkclouds/50b81d10736793f07cdca354516e8757) and [here](https://gist.github.com/rtkclouds/a6ee9afd96461ca94b3e9c22f78bda3a).
For further insights, you can explore the [X.com link](https://x.com/canalCCore2/status/1735044356535472278?s=20).
Part 2
https://canalccore.medium.com/innovating-beyond-openais-q-a-novel-reinforcement-learning-approach-to-nlp-09d4b58da1ea
https://ai.plainenglish.io/leveraging-local-indexes-in-language-models-to-enhance-contextual-learning-3d2a8f98fde5
https://canalccore.medium.com/language-models-still-have-basic-structural-problems-9f88b04576c
