Generative AI : Revolution, Efficiency, and Applications in the Modern World Tutorial

In this video, we dive into the heart of the transformation that generative AI brings to various sectors. Start by discovering how this technology revolutionizes product design, enabling rapid generation of prototypes based on defined criteria. Then, learn how generative AI plays a crucial role in medical research, particularly in the fight against complex diseases like Alzheimer's. We also address the challenges associated with generative AI, such as the needs for data and computing power. Discover how agriculture adapts thanks to generative AI, to meet global needs for food security and sustainability. Finally, we conclude by emphasizing the importance of critically and contextually evaluating this technology.

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Welcome to this video concerning the
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evaluation of the effectiveness of
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generative AI in the modern world.
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Generative AI is storming various fields
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from visual arts to medical engineering.
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But what is its true effectiveness compared
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to the methods we have always known?
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Take the example of product design.
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Previously, a designer had to imagine
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and test each design individually.
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Today, thanks to generative AI,
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hundreds of prototypes can
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be generated in a few hours.
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Based on defined criteria in
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Alzheimer's disease research,
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a complex neurodegenerative condition,
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generative AI has been used to
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identify new therapeutic compounds.
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Atom wise, a company specializing
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in AI for drug discovery,
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use generative AI to predict and
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identify molecules that could inhibit
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a key protein involved in the
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progression of Alzheimer's disease.
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With this approach,
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they were able to identify promising
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candidates in a few months rather
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than several years.
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However,
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generative AI is not without challenges.
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It requires massive data sets for training,
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considerable computing power,
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and understanding the results can
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sometimes be a challenge in itself.
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Agriculture is another area where
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generative AI has shown its potential.
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Researchers have used AI to predict
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and generate genetic combinations
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of plants that are more resistant
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to drought
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diseases. Or have a higher
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yield. For example, the
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startup Not Co uses generative AI
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to create plant based alternatives
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to traditional food products,
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combining different plants to
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replicate the taste and texture
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of animal based products.
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Generative AI has the potential
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to transform many fields,
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but as with any tool it is
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essential to critically evaluate
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its effectiveness and impact
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in the appropriate context.

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00:00:06
Bem-vindo a este vídeo sobre o
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avaliação da eficácia da
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IA generativa no mundo moderno.
00:00:12
A IA generativa está invadindo vários campos
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das artes visuais à engenharia médica.
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Mas qual é a sua verdadeira eficácia em comparação
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aos métodos que sempre conhecemos?
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Tomemos o exemplo do design de produto.
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Anteriormente, um designer tinha que imaginar
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e testar cada desenho individualmente.
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Hoje, graças à IA generativa,
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centenas de protótipos podem
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ser gerado em poucas horas.
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Com base em critérios definidos em
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Investigação sobre a doença de Alzheimer,
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uma condição neurodegenerativa complexa,
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A IA generativa tem sido usada para
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identificar novos compostos terapêuticos.
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Atom wise, uma empresa especializada
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em IA para descoberta de fármacos,
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usar IA generativa para prever e
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identificar moléculas que possam inibir
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uma proteína-chave envolvida na
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progressão da doença de Alzheimer.
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Com esta abordagem,
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eles foram capazes de identificar promissor
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candidatos em poucos meses
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do que vários anos.
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No entanto,
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A IA generativa não está isenta de desafios.
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Requer conjuntos de dados maciços para treinamento,
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poder de computação considerável,
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e a compreensão dos resultados pode
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às vezes ser um desafio em si mesmo.
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A agricultura é outra área em que
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a IA generativa mostrou o seu potencial.
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Pesquisadores usaram IA para prever
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e gerar combinações genéticas
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de plantas mais resistentes
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à seca
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doenças. Ou ter um
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rendimento. Por exemplo, o
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startup Not Co usa IA generativa
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criar alternativas à base de plantas
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aos produtos alimentares tradicionais,
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combinando diferentes plantas para
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replicar o sabor e a textura
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de produtos de origem animal.
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A IA generativa tem potencial
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transformar muitos campos,
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mas como com qualquer ferramenta é
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essencial para avaliar criticamente
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a sua eficácia e impacto
00:01:50
no contexto adequado.

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