Navigating the Neural Forest : Secrets of AI Prompts Video

In this video, we delve into the delicate art of prompts. Imagine AI as a dense forest of paths, where each prompt serves as a map and compass for navigation. The specificity of your question can make the difference between a simple observation and an in-depth explanation. Learn to break down complex prompts, eliminate any ambiguity, and obtain clear and precise answers. But that's not all: we will also explore the ethical and practical ramifications of poorly designed prompts, highlighting the crucial importance of every word you choose. And as mastering prompts is an ever-evolving art, we will show you how to continually refine your questions to unlock the full potential of AI.

2:05
1215 views

Generative AI
New

00:00:05

Imagine the neural

00:00:06

architecture of AI as a

00:00:07

vast forest of pathways.

00:00:09

Your prompt is akin to a map and compass.

00:00:12

Without precise instructions,

00:00:13

you can easily get lost.

00:00:15

So if you want relevant information,

00:00:17

you need to correctly guide the AI.

00:00:19

Let's start with precision.

00:00:21

A vague prompt like explain the sky

00:00:23

could lead to a variety of responses,

00:00:26

ranging from poetry to science.

00:00:27

In contrast,

00:00:28

a specific prompt explain why the

00:00:30

sky is blue during the day will

00:00:33

focus the AI on Rayleigh scattering.

00:00:35

Phenomenon where atmospheric molecules

00:00:37

scatter blue sunlight more than other

00:00:40

colors. Next comes structuring.

00:00:42

Imagine you're writing an essay.

00:00:44

Rather than addressing all points at

00:00:47

once, you would separate them into

00:00:49

paragraphs. Similarly, a complex

00:00:51

prompt can be broken down into

00:00:54

sub questions to obtain details

00:00:57

then clarity. Avoiding ambiguities

00:00:59

is crucial. For example,

00:01:00

give me an example of a carnivore

00:01:03

could lead to many wild animals,

00:01:06

but if you specify small

00:01:08

domestic carnivore,

00:01:08

the AI will lean towards cat or dog.

00:01:11

The implications

00:01:12

of a poorly designed

00:01:14

prompt are not negligible.

00:01:15

A biased or poorly formulated

00:01:17

prompt can lead to factual errors,

00:01:19

reinforce stereotypes,

00:01:20

or offer inadequate solutions.

00:01:22

For instance,

00:01:22

if the AI is asked for information

00:01:25

based on outdated or biased data,

00:01:27

it will reinforce those same biases.

00:01:30

Refining prompts is an ongoing process.

00:01:33

It involves testing,

00:01:34

evaluating, results,

00:01:35

refining, and testing again.

00:01:36

A well crafted

00:01:38

prompt can unlock the potential of AI,

00:01:40

enabling breakthroughs in research,

00:01:42

new discoveries,

00:01:43

or even incredible artistic creations.

00:01:45

It's like sculpting.

00:01:46

Each adjustment brings you

00:01:48

closer to your masterpiece.

00:01:50

Every word, every nuance in a

00:01:52

prompt is a step to guide the

00:01:54

AI in the right direction.

00:01:57

Mastering prompts is essential

00:01:59

for achieving optimal results.

00:00:05

Imagine o neural

00:00:06

arquitetura da IA como um

00:00:07

vasta floresta de caminhos.

00:00:09

Seu prompt é semelhante a um mapa e bússola.

00:00:12

Sem instruções precisas,

00:00:13

Você pode facilmente se perder.

00:00:15

Então, se você quiser informações relevantes,

00:00:17

você precisa guiar corretamente a IA.

00:00:19

Comecemos pela precisão.

00:00:21

Um aviso vago como explicar o céu

00:00:23

pode conduzir a uma variedade de respostas,

00:00:26

que vão da poesia à ciência.

00:00:27

Em contrapartida,

00:00:28

um aviso específico explica por que razão a seringa

00:00:30

céu é azul durante o dia vai

00:00:33

focar a IA na dispersão de Rayleigh.

00:00:35

Fenómeno onde as moléculas atmosféricas

00:00:37

dispersar a luz solar azul mais do que outros

00:00:40

cores. Em seguida, vem a estruturação.

00:00:42

Imagine que você está escrevendo um ensaio.

00:00:44

Em vez de abordar todos os pontos em

00:00:47

uma vez, você os separaria em

00:00:49

parágrafos. Da mesma forma, um complexo

00:00:51

prompt pode ser dividido em

00:00:54

subperguntas para obter detalhes

00:00:57

depois clareza. Evitar ambiguidades

00:00:59

é crucial. Por exemplo

00:01:00

Dê-me um exemplo de carnívoro

00:01:03

pode levar a muitos animais selvagens,

00:01:06

mas se você especificar pequeno

00:01:08

carnívoro doméstico,

00:01:08

a IA inclinar-se-á para o gato ou o cão.

00:01:11

As implicações

00:01:12

de um mal desenhado

00:01:14

prompt não são desprezíveis.

00:01:15

Um tendencioso ou mal formulado

00:01:17

pode levar a erros factuais,

00:01:19

reforçar estereótipos,

00:01:20

ou oferecer soluções inadequadas.

00:01:22

Por exemplo,

00:01:22

se for solicitada informação à IA

00:01:25

com base em dados desatualizados ou tendenciosos,

00:01:27

reforçará esses mesmos preconceitos.

00:01:30

O refinamento de prompts é um processo contínuo.

00:01:33

Envolve testes,

00:01:34

avaliação, resultados,

00:01:35

refinando e testando novamente.

00:01:36

Um bem trabalhado

00:01:38

prompt pode desbloquear o potencial da IA,

00:01:40

permitir avanços na investigação,

00:01:42

novas descobertas,

00:01:43

ou mesmo criações artísticas incríveis.

00:01:45

É como esculpir.

00:01:46

Cada ajuste traz você

00:01:48

mais perto da sua obra-prima.

00:01:50

Cada palavra, cada nuance em um

00:01:52

é um passo para orientar o

00:01:54

IA na direção certa.

00:01:57

Dominar prompts é essencial

00:01:59

para alcançar os melhores resultados.

DiLeaP AI: THIS MIGHT BE HELPFUL

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.

3:01
1346 views

Unveiling Prompts : The Evolution and Future of Human-Machine Interaction

Dive into the heart of human-machine interaction with our detailed exploration of prompts in natural language processing. This video takes us on a journey through time, from the birth of rudimentary prompts to their most sophisticated incarnations today. First, we demystify the origins, examining how simple commands have evolved into almost human-like conversations. Then, we highlight the revolutionary impact of neural networks, transforming these prompts into active and learning participants. The video also addresses the delicate balance between coherence and precision, as well as ethical challenges such as bias and responsibility in prompt training. Looking to the future, we envision a world where specialized prompts dominate, offering unprecedented expertise in various professional fields. Finally, we conclude with a reflection on the importance of prompts in facilitating dialogue between humans and technology. Join us in this exploration and discover how prompts are shaping our digital future.

2:39
1204 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
1476 views

Societal Implications of Generative AI

The video explores generative AI, first presenting innovative applications like Google's DeepDream. It quickly addresses darker subjects, focusing on the ethical challenges of deepfakes, particularly their implications in terms of misinformation and national security. It also highlights issues of bias in AI, showing how training data can influence outcomes. A key point is the erosion of the concept of truth, where generative AI can sow distrust in the media and exacerbate social polarization. The video also acknowledges the opportunities offered by AI, while highlighting the tension between innovation and the need for regulation. It concludes by emphasizing the importance of education in navigating this complex landscape.

5:58
1611 views

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

RELATED COURSES This video is part of the following courses

Part 05 - Mastering Prompts for Generative AI: Creation, Evaluation, and Best Practices

Discover the use of prompts to precisely guide AI towards your needs.

Your trainer for this course
Cours E-learning

1009 Views

ALL COURSES