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

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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Generative AI
New

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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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Bem-vindo a este vídeo sobre o

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avaliação da eficácia da

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IA generativa no mundo moderno.

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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

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no contexto adequado.

DiLeaP AI: THIS MIGHT BE HELPFUL

From Data to Discoveries : The Art of Innovation with Generative AI

This video provides a methodological roadmap for brainstorming future applications of generative AI. It begins with an introduction to the basics of generative AI and its relevance in the current technological ecosystem. The method uses proven techniques such as Mind Mapping to map out ideas, the Six Thinking Hats method to consider various perspectives and the Future Scenario Technique to project visions of AI's future. These methods will help participants navigate, collaborate, and envision innovative applications of generative AI across various sectors, while considering the ethical and societal implications.

4:38
1433 views

The Impact of AI in the World of Science

Discover how AI can transform the world of science. This video presents the impact of AI in the scientific field, and explores the various ways this technology can optimize research processes, improve outcomes and solve complex problems in the pharmaceutical sector.

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The Essence of Generative AI in Artistic Creation

Art and technology merge in this video titled "The Essence of Generative AI in Artistic Creation". This exploration begins by highlighting the revolutionary role of AI in the current artistic landscape. Emphasizing how each era is shaped by its technological innovations. We question the synergy between human creativity and AI. How artists guide and influence AI productions to create unique works of art. The challenges and perspectives of this intersection between art and technology are also addressed. From ethical questions to the redefinition of creativity. In conclusion, concrete examples of AI-generated artistic works are presented. Illustrating this fascinating dance between code and creativity. This visual journey offers a profound insight into how AI is redrawing the boundaries of artistic expression.

1:27
1322 views

Creative Symbiosis : When Generative AI Shapes Our Future

Dive into the revolutionary world of "Creative Symbiosis: When Generative AI Shapes Our Future", an essential guide on how Artificial Intelligence (AI) is transforming creativity across various fields. This meticulously crafted video begins with a captivating introduction to the vast universe of generative AI. It then takes us into the fascinating world of visual art with DeepArt.io, merging Picasso's strokes with modernity. The narrative quickly takes a journalistic turn, highlighting Heliograf's innovative approach in journalism. Architecture flourishes thanks to Stanislas Chaillou, blending tradition and technology. Art enthusiasts will be dazzled by 'Edmond de Belamy', a portrait born from the heart of AI. MuseNet enchants with its cross-genre melodies, followed by NVIDIA's cinematic magic and hyper-realistic faces. Fashion enthusiasts will be seduced by Adidas shoe designs propelled by AI. The story delves into technology with image restoration reinvented by NVIDIA, while highlighting the eco-friendly side of AI with reforestation projects. Finally, it explores the academic world, showing how education is enhanced by tailor-made resources. Immerse yourself in this visual delight and discover the confluence between human ingenuity and machine prowess.

3:46
1475 views

Generative AI Prompts : Harnessing the Power of Models

In this video titled "Prompts in Generative AI: Harnessing the Power of Models," we delve into the mechanisms guiding the powerful algorithms of generative artificial intelligence. We begin by explaining the crucial role of prompts, those compasses that direct computational capacity towards specific areas of interest. Then, the complex nature of prompts is described, highlighting their essential characteristics: Contextualization, which anchors AI in a specific framework; Specificity, which sharpens the accuracy of results; and Stimulation, awakening the model's creativity. We conclude by illustrating the dynamic evolution of prompts in interactions, where a prompt shapes and is influenced by the previous output, evoking an interaction between the user and the model. Here is an in-depth overview of the art and science of prompts, revealing their invaluable importance in the rapidly expanding field of generative AI.

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1345 views

RELATED COURSES This video is part of the following courses

Part 03 - Case Studies and Analysis

Discover the revolutionary potential of generative AI through diverse and concrete case studies illustrating its impact on various jobs within your company.

Your trainer for this course
Cours E-learning

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