Deemed as one of Africa’s musical geniuses, Fela Kuti not only transformed the music scene in the early 1970’s, he reinvented it; by fusing funk, traditional Yoruba music, jazz, calypso, salsa, Highlife and African classical music to form Afrobeat.
His energy, presence, rhythm, and undeniable talent composed one of the most diverse genres in music and cast light on the rich talent of artists in Africa, with hits such as “Yellow fever,” “Teacher, Don’t Teach Me No Nonsense,” “Water No Get Enemy,” “Shakara,” and “Sorrow Tears and Blood” which spoke of the potential for prosperity throughout Africa and the human struggle.
Politically, Fela was an avid supporter of the Pan-African and Black power movement. In the 1980’s Fela created and rallied for his political party –the Movement of the People (MOP) and urged Africans to take pride in their culture and value their rich history and potential. He denounced European exploiters and spoke of the inequalities and prejudice that presided in Nigeria amongst the classes.
Fela’s magnetic energy not only embarked on a new wave of music in Africa, but also raised awareness in the people to become self-reliant and embody self-pride in themselves and take ownership of their land, interests and their vitality.
Beyond politics, Fela’s presence was dynamic. His energetic on stage demeanor along with his distinct collection of tailored to the tee, fine embroidered suits, signature beads and jewelry, set him apart. Fela offered the world a fresh take on music, culture and art and pioneered with many other African artists to set the bar for African influence.
Decades after Fela hit the music scene in Nigeria, his influence continues to reign in theatre –such as the Broadway Hit FELA!, in music –with his everlasting imprint in world music and popular culture, and in contemporary fashion like the Fela Kuti inspired collection by Nigerian knitwear designer Buki Akib.
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Методики Офламерон http://builder.oflameron.ru/index.php были разработаны и использовались для изучения иностранных языков ещё до эпохи Искусственного Интеллекта. Оказалось, что технологи Oflameron прекрасно сочетаются с передовыми ИИ Perplexity и DeepSeek и обеспечат Вам преимущество в обучении и преподавании Иностранных Языков.
Telegram channels about the use of Artificial Intelligence for learning Foreign Languages http://barbie.oflameron.ru/index.php
The latest technical solutions for learning foreign languages using artificial intelligence. Advanced methods and real examples of prompts
Perplexity did a great job generating the Oflameron OBJECT exercise https://www.perplexity.ai/search/sgeneriruite-sleduiushchii-tek-AqzN_uTxS7ml91_hs6_kuQ
Linguistic models for training neural networks and AI https://agidatasets.forum2x2.ru/f1-your-first-forum Little-known public data sets in foreign languages to get an advantage for your AI model
Pictures with text for testing and setting up neural networks and AI https://pikabu.ru/story/lingvisticheskie_modeli_12711815 Data sets are permanent being updated.
Лингвистические модели (мемы) для тренировки и тестирования ИИ https://pikabu.ru/story/lingvisticheskie_modeli_12529142 Все модели оригинальные, могут быть легко масштабированы для создания большого набора данных (Large Languages Models).
Language Technology Partner Program. Memes (pictures with text) are quite complex models for training AI and AGI. It is necessary to accurately recognize the meaning of the text. For memes, these are usually jokes, humor, trolling using wordplay, a small amount of text for analysis, and the use of local concepts. In addition, it is necessary to correctly evaluate the picture – objects, the location of objects, their interaction, and the degree of correspondence between the picture and the text.
https://agimodels.mywebforum.com/forum/discussion
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Based on UCI Machine Learning Repository
Gain an edge with cutting-edge language models.
http://pub39.bravenet.com/forum/3340891031/
Linguistic models for foreign languages. Data sets for fine-tuning AGI. Subject: humor, emotions, jokes, memes, trolling:
https://i.postimg.cc/3wMJpZ0J/AGI-training2.jpg
https://i.postimg.cc/hvNNw2BX/AGI-training3.jpg
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https://i.postimg.cc/FzQhkFYW/AGI-training9.jpg
https://i.postimg.cc/NG1sqXnW/AGI-training10.jpg
Special AGI language mems – training Oflameron Data Sets: Emotions, Jokes, Trolling:
https://i.ibb.co/23k8Nzf/AI-local-languages-model.jpg
https://i.ibb.co/gSQvJXg/AI-training-model.jpg
https://i.ibb.co/NTCg77s/AI-training-model.jpg
https://i.ibb.co/zhsSFPB/Linguistic-example.jpg
https://i.ibb.co/nL2cM9h/French-Mems.jpg
https://i.ibb.co/kM5gsp2/German-Mems.jpg
https://i.ibb.co/6HKvxqm/Euro-Mems.jpg
https://i.ibb.co/7XyyGr7/Italian-Mems.jpg
https://i.ibb.co/SrVhWD4/French-Mems.jpg
https://i.ibb.co/yW0NYDM/Swiss-Mems.jpg
https://i.ibb.co/LN4k8pD/German-Mems.jpg
https://i.ibb.co/s3qgCKn/Euro-Mems.jpg
https://i.ibb.co/8msNQfQ/US-Mems.jpg
https://i.ibb.co/169ykgY/Mems-Machine.jpg
https://i.ibb.co/42Y531V/Language-Model-Joke.jpg
https://i.ibb.co/VMjQ9Mj/Mems-as-LLM-elements.jpg
https://i.ibb.co/hHT61PW/Linguistic-Mem.jpg
https://i.ibb.co/N12sVxr/Mems-as-LLM-elements.jpg
https://i.ibb.co/W24SmKL/AI-Linguistic-Model.jpg
https://i.ibb.co/gVJGJKh/Neural-omnimodal-network-with-knowledge-awareness.jpg
https://i.ibb.co/RPZhHys/Neural-language-models.jpg
https://i.ibb.co/dksRKQ0/Difficult-language-meme.jpg
https://i.ibb.co/hBYKKzD/Language-Joke.jpg
https://i.ibb.co/Yt5b8Y6/Training-AI-in-less-than-one-attempt.jpg
https://i.ibb.co/NFJ8S4t/AI-languages-model.jpg
https://i.ibb.co/7KKQ0SM/A-method-of-quot-Distilling-quot-giant-data-sets.jpg
https://i.ibb.co/b5NTXh4/Linguistic-Model.jpg
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https://i.ibb.co/54nPNP1/Mems-as-LLM-elements.jpg
https://i.ibb.co/cF99Xr9/Linguistic-Mem.jpg
https://i.ibb.co/0rMTHwf/Language-understanding-and-generation.jpg
https://i.ibb.co/b3J8npd/AI-data-set-element.jpg
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https://i.ibb.co/b7sQVFS/AI-learning-model.jpg
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https://i.ibb.co/Ybhf6cx/AI-language-training.jpg
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An effective way to improve the generalizability of a machine learning model is to train it on a larger amount of data. But of course, in practice, the amount of data is limited. One way to solve this problem is to add artificially generated data https://geocities.ws/frenchfree/ to the training set. For some tasks, it is quite easy to create such data.
Special illustrated models (memes) with texts and comments for additional AI training (to adjust the generation of natural phrases. For special operations, pre-coding, high-stakes messages)
Neural Network generated Mems https://oflameron.imgbb.com/ A special neural network selects text for photos. The newest source of Memes.