Generative AI Prompts : Harnessing the Power of Models Video

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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    résultat(s)
    00:00:05
    Generative AI where powerful
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    algorithms meet ingenious prompts.
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    But what makes a prompt so
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    central in this dynamic?
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    Prompts act as compasses,
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    guiding the vast computational
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    capabilities of AI.
    00:00:18
    Rather than letting the model wander freely,
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    prompts channel exploration
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    towards areas of interest.
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    They are not mere requests.
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    They trigger reflections,
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    invoke memories stored in the models,
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    and can initiate complex responses.
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    To understand better, let's
    00:00:35
    dissect a prompt contextualization.
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    It sets the framework. By anchoring
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    the AI in a specific context,
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    you give a clear direction.
    00:00:43
    It's like telling a translation machine
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    that it operates between French and English
    00:00:47
    and not between 10 other languages.
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    Specificity. It shapes precision.
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    Open AI's work with GPT 4 has shown
    00:00:55
    that the way you formulate a prompt
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    can greatly affect the results.
    00:01:00
    It's the difference between asking
    00:01:02
    for a description of a cat and
    00:01:05
    asking for a detailed biological
    00:01:07
    description of Feliz Catus stimulation.
    00:01:09
    It's about provoking the AI's creativity.
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    A stimulating prompt can push AI
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    to create content that is not only
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    informative but also imaginative.
    00:01:20
    It's the nuance between telling a story
    00:01:22
    and describing a meeting between an
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    astronaut and a mermaid on the moon.
    00:01:26
    Prompts can also evolve with
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    generative models.
    00:01:29
    Using outputs as successive inputs
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    allows for smoother interaction,
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    almost like a natural conversation.
    00:01:36
    Here's a more detailed explanation.
    00:01:38
    Generative AI models don't just operate
    00:01:40
    in a single question answer mode.
    00:01:43
    They can be used in interactive
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    scenarios that resemble dialogues.
    00:01:47
    For example,
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    suppose you provide an initial
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    prompt to GPT 3 prompt.
    00:01:51
    Tell me a story about a dragon AI response.
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    In a distant Kingdom,
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    a dragon named Zephyr lived in the mountains.
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    Unlike other Dragons,
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    Zephyr preferred peace to treasures.
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    Now, instead of providing a new,
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    unrelated prompt,
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    you can continue from the
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    previous response Prompt.
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    Why did Zephyr prefer peace to treasures?
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    AI response Zephyr had seen the
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    ravages that the quest for treasures
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    had caused among humans and Dragons.
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    He had witnessed many wars and
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    lost dear friends.
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    For him,
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    peace was the most precious treasure.
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    Here,
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    the second prompt is based
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    on the output of the first.
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    These successive interactions can continue,
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    creating a dialogue that evolves over time.
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    This type of dynamic prompt output
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    prompt interaction creates an
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    interaction that can seem more
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    fluid or natural as it simulates A
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    continuous conversation with the model.
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    Prompts are the beating heart
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    of generative AI.
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    By understanding and using
    00:02:50
    them strategically,
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    we shape the future of automatic generation.
    00:02:54
    The discovery is just beginning.

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    résultat(s)
    00:00:05
    IA generativa onde poderosa
    00:00:07
    algoritmos atendem a prompts engenhosos.
    00:00:09
    Mas o que torna um prompt tão
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    central nesta dinâmica?
    00:00:13
    Os prompts funcionam como bússolas,
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    guiando o vasto computacional
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    capacidades da IA.
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    Em vez de deixar o modelo vagar livremente,
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    solicita a exploração do canal
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    para áreas de interesse.
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    Não são meros pedidos.
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    Desencadeiam reflexões,
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    invocar memórias armazenadas nos modelos,
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    e pode iniciar respostas complexas.
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    Para entender melhor, vamos
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    dissecar uma contextualização imediata.
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    Estabelece o enquadramento. Por ancoragem
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    a IA num contexto específico,
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    você dá uma direção clara.
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    É como contar a uma máquina de tradução
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    que opera entre francês e inglês
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    e não entre 10 outras línguas.
    00:00:49
    Especificidade. Ele molda a precisão.
    00:00:53
    O trabalho da Open AI com GPT 4 mostrou
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    que a maneira como você formula um prompt
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    pode afetar grandemente os resultados.
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    É a diferença entre perguntar
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    para uma descrição de um gato e
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    solicitando um biológico detalhado
    00:01:07
    descrição da estimulação de Feliz Catus.
    00:01:09
    Trata-se de provocar a criatividade da IA.
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    Um prompt estimulante pode impulsionar a IA
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    para criar conteúdo que não seja apenas
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    informativo, mas também imaginativo.
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    É a nuance entre contar uma história
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    e descrevendo um encontro entre um
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    astronauta e uma sereia na lua.
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    Os prompts também podem evoluir com
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    modelos generativos.
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    Usando saídas como entradas sucessivas
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    permite uma interação mais suave,
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    quase como uma conversa natural.
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    Aqui está uma explicação mais detalhada.
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    Os modelos de IA generativa não operam apenas
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    em um único modo de resposta a perguntas.
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    Eles podem ser usados em
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    cenários que se assemelham a diálogos.
    00:01:47
    Por exemplo
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    Suponha que você forneça uma inicial
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    prompt para GPT 3 prompt.
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    Conte-me uma história sobre uma resposta de IA de dragão.
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    Num Reino distante,
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    um dragão chamado Zéfiro vivia nas montanhas.
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    Ao contrário de outros dragões,
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    Zéfiro preferiu a paz aos tesouros.
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    Agora, em vez de fornecer um novo,
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    prompt não relacionado,
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    Pode continuar a partir da seringa
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    prompt de resposta anterior.
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    Por que Zéfiro preferiu a paz aos tesouros?
    00:02:13
    Resposta da IA Zephyr tinha visto o
    00:02:15
    devasta que a busca por tesouros
    00:02:17
    tinha causado entre humanos e dragões.
    00:02:20
    Ele tinha testemunhado muitas guerras e
    00:02:22
    perdeu amigos queridos.
    00:02:23
    Para ele,
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    A paz era o tesouro mais precioso.
    00:02:26
    Aqui,
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    o segundo prompt é baseado
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    na saída do primeiro.
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    Estas interações sucessivas podem continuar,
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    criar um diálogo que evolua ao longo do tempo.
    00:02:35
    Este tipo de saída de prompt dinâmico
    00:02:37
    A interação imediata cria um
    00:02:39
    interação que pode parecer mais
    00:02:41
    fluido ou natural, pois simula A
    00:02:44
    Conversa contínua com o modelo.
    00:02:46
    Prompts são o coração batendo
    00:02:48
    de IA generativa.
    00:02:49
    Compreendendo e usando
    00:02:50
    estrategicamente,
    00:02:51
    Moldamos o futuro da geração automática.
    00:02:54
    A descoberta está apenas começando.

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    Mandarine AI: CE QUI POURRAIT VOUS INTÉRESSER

    RELATED COURSES This video is part of the following courses

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

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

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