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\u003C/g>\u003C/g>",{"left":4,"top":4,"width":15,"height":15,"rotate":4,"vFlip":6,"hFlip":6,"body":20},"\u003Cg fill=\"none\">\u003Cg>\n    \u003Cpath\n      fill=\"#F0F0F0\"\n      d=\"M256 512C397.385 512 512 397.385 512 256C512 114.615 397.385 0 256 0C114.615 0 0 114.615 0 256C0 397.385 114.615 512 256 512Z\"\n    />\n\n    \u003Cpath\n      fill=\"#D80027\"\n      d=\"M512 256C512 145.929 442.528 52.0941 345.043 15.9231V496.078C442.528 459.906 512 366.071 512 256Z\"\n    />\n\n    \u003Cpath\n      fill=\"#6DA544\"\n      d=\"M0 256C0 366.071 69.472 459.906 166.957 496.077V15.9231C69.472 52.0941 0 145.929 0 256Z\"\n    />\n  \u003C/g>\u003C/g>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":22},"\u003Cg fill=\"none\">\u003Cpath d=\"M3 6h18\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"/>\n  \u003Cpath d=\"M3 12h18\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"/>\n  \u003Cpath d=\"M3 18h18\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"/>\u003C/g>",{"id":24,"documentId":25,"metaTitle":26,"metaDescription":27,"slug":28,"heroTitle":29,"heroUnderTitle":30,"heroUnderTitle2":31,"heroUnderTitle3":32,"heroCTA":33,"heroVideoUrl":34,"blog":35,"createdAt":36,"updatedAt":37,"publishedAt":38,"locale":39,"sectionSecurity":40,"heroCtAlink":40,"localizations":41,"heroImage":54,"recommendedArticles":131,"contentType":132},7281,"xicnuaat4tty8p4irg0jgp0k","De ChatGPT revolutie","Ontdek de geschiedenis van ChatGPT, een AI-systeem van OpenAI, en hoe het tekst genereert via LLM-programma's. Verken uitdagingen en ethiek.","/nl/technologie/ia-openai-azure-llm/tekstgeneratie-met-ai/","Hoe kan kunstmatige intelligentie tekst genereren?","Wat is intelligentie?","De geschiedenis van ChatGPT","De verschillende stappen","Test Leexi's AI","false","Kunstmatige intelligentie is een belangrijk technologisch vakgebied geworden, met veel interesse en investeringen van techreuzen. Een van de bekendste projecten is ChatGPT, een AI-systeem ontwikkeld door OpenAI. In dit artikel leren we wat intelligentie is, volgen we de fascinerende geschiedenis van ChatGPT en ontdekken we hoe deze technologie tekst kan genereren. Ontdek de drijfveren achter ChatGPT, de uitdagingen en ethische kwesties die deze technologie oproept.\n\n## Wat is intelligentie?\n\nIntelligentie is een vermogen van de menselijke geest dat rationeel denken, zintuiglijke waarneming, geheugen en het manipuleren van objecten omvat. Volgens Aristoteles spelen zintuiglijke ervaring en geheugen een belangrijke rol in de ontwikkeling van intelligentie.\n\nVoor Nietzsche beperkt intelligentie zich niet tot logisch redeneren. Het omvat ook creativiteit, intuïtie en het bevragen van gevestigde waarden.\n\nPierre Teilhard de Chardin ziet een optimistische toekomst voor de mensheid via de noösfeer, een voortdurend evoluerend collectief bewustzijn. Volgens hem is onze samenwerking en kennisdeling essentieel voor de ontwikkeling van de noösfeer en nieuwe vooruitgang in wetenschap, technologie en spiritualiteit.\n\nIntelligentie is dus een complex vermogen dat verder gaat dan logisch redeneren. Het omvat creativiteit, intuïtie en het bevragen van normen.\n\n![Capture d’écran 2024-03-28 à 14.40.32](https://reliable-canvas-66698e1f5b.media.strapiapp.com/Capture_d_ecran_2024_03_28_a_14_40_32_f51de25293.png)\n\n## De geschiedenis van ChatGPT\n\nDe geschiedenis van ChatGPT gaat enkele jaren terug. In 2014 nam Google DeepMind over, een bedrijf opgericht in 2010, waarmee het de AI-sector betrad. Datzelfde jaar lanceerde IBM Watson, een ander AI-systeem.\nGoogle nam snel de leiding, maar besloot het ChatGPT-project te pauzeren. Waarom?\nOm concurrentie met zijn online advertentie-inkomsten van $162 miljard per jaar, goed voor 58% van de totale omzet, te vermijden.\nElon Musk was tegen Google's visie dat machines mensen zouden vervangen als een vorm van Darwinistische evolutie. Samen met Sam Altman, oprichter van Y Combinator, besloten ze een soortgelijk project te financieren met een andere aanpak.\nIn december 2015 richtten ze OpenAI op, een non-profitorganisatie met als doel geavanceerde AI te ontwikkelen. Ze investeerden $100 miljoen. Elon Musk verliet OpenAI in 2018 om zich op andere projecten te richten.\n\nOpenAI evolueerde naar een open-source versie, gratis beschikbaar, zodat meer mensen het konden gebruiken en bijdragen. In 2019 veranderde OpenAI van non-profit naar een besloten vennootschap om beter aan te sluiten bij ambities en partnerschappen.\nDatzelfde jaar investeerde Microsoft $1 miljard in OpenAI vanwege het potentieel van deze geavanceerde AI. In 2023 bevestigde Microsoft dit met een extra investering van $10 miljard.\nIn november 2023 ontstond een crisis binnen de organisatie. Sam Altman, medeoprichter van OpenAI, werd ontslagen en uiteindelijk trad de hele raad van bestuur af. Deze crisis had grote gevolgen voor de toekomst van ChatGPT en riep vragen op over de koers van AI.\nOndanks deze turbulentie toont de geschiedenis van ChatGPT het groeiende belang van AI in onze samenleving. Techreuzen als Google en Microsoft investeren fors, terwijl stemmen als die van Elon Musk ethische kwesties en beperkingen benadrukken.\n\n[Probeer Leexi gratis](https://www.leexi.ai/demo#cta)\n\n## Maar hoe kan AI tekst genereren?\n\nDankzij het LLM (Large Language Model) programma!\n\nEen groot taalmodel (LLM) is een type AI-programma dat onder andere tekst kan herkennen en genereren. Een LLM is een computerprogramma dat genoeg voorbeelden heeft gekregen om menselijke taal of andere complexe data te herkennen en interpreteren. Veel LLM's worden getraind op data van het internet, duizenden of miljoenen gigabytes tekst. Ze gebruiken deep learning om te begrijpen hoe karakters, woorden en zinnen samenwerken.\nHet is dus een wiskundig model dat veel data nodig heeft om te functioneren. Met deze data wordt het model getraind om bruikbare data te genereren. Dit gebeurt door zinnen als prompts te gebruiken, die worden omgezet in numerieke vectoren via kwadratische projectie op de data. Dit proces wordt herhaald om het volgende woord in de reeks te vinden. Ondanks het vermogen om tekst te genereren, begrijpt OpenAI niet echt wat het schrijft!\n\n![Capture d’écran 2024-03-28 à 14.41.35](https://reliable-canvas-66698e1f5b.media.strapiapp.com/Capture_d_ecran_2024_03_28_a_14_41_35_9da82b4a89.png)\n\n### De verschillende fasen van tekstgeneratie\n\n1- Vectorisatie: Vragen met context worden omgezet in numerieke vectoren met technieken zoals Word2Vec of GloVe.\n\n2- Orthogonale projectie: Na vectorisatie projecteert OpenAI deze vectoren orthogonaal op de ruimte van het voorgetrainde model. Dit helpt de dichtstbijzijnde vector te vinden die de volgende woordvolgorde in de context vertegenwoordigt.\n\n3- Weging: Als er meerdere vectoren zijn, gebruikt OpenAI wegingstechnieken om te bepalen welk woord het volgende is. Dit kan gebaseerd zijn op de waarschijnlijkheid van het woord in de context, de frequentie in de trainingsdata of andere statistieken.\n\nDoor de dichtstbijzijnde vector te gebruiken, kan OpenAI consistent en contextueel het volgende woord genereren.\n\n[Probeer Leexi's AI](https://www.leexi.ai/demo#cta)\n\n## Conclusie\n\nKunstmatige intelligentie is een revolutie omdat het tekst kan genereren via grote taalmodellen. Deze programma's zijn getraind op enorme hoeveelheden tekstdata en gebruiken deep learning om menselijke taal te begrijpen en te genereren. Toch begrijpt AI niet echt wat het schrijft. Deze ontwikkelingen roepen ethische vragen op en vragen om verantwoord gebruik. De geschiedenis van ChatGPT toont de snelle evolutie van AI en de groeiende impact op onze samenleving. Ondanks obstakels en controverses blijven projecten als ChatGPT de grenzen van technologie verleggen. De toekomst van ChatGPT is onzeker, maar AI zal onze wereld onmiskenbaar blijven vormen.","2026-06-03T14:20:51.686Z","2026-06-03T17:26:04.396Z","2026-06-03T17:41:45.877Z","nl",null,[42,45,48,51],{"locale":43,"slug":44,"documentId":25},"en","/en/technology/openai-azure-llm/artificial-intelligence-text-generation/",{"locale":46,"slug":47,"documentId":25},"fr","/fr/technologie/ia-openai-azure-llm/generation-texte-intelligence-artificielle/",{"locale":49,"slug":50,"documentId":25},"de","/de/technologie/ia-openai-azure-llm/textgenerierung-mit-kuenstlicher-intelligenz/",{"locale":52,"slug":53,"documentId":25},"it","/it/tecnologia/ia-openai-azure-llm/generazione-testo-intelligenza-artificiale/",{"id":55,"documentId":56,"name":57,"alternativeText":58,"caption":40,"width":59,"height":15,"formats":60,"hash":87,"ext":62,"mime":65,"size":88,"url":89,"previewUrl":40,"createdAt":90,"updatedAt":90,"publishedAt":91,"focalPoint":40,"related":92},1390,"uwv2c6pr033eltwdykq0ev3w","Capture d’écran 2024-03-28 à 14.53.48.png","Capture d’écran 2024-03-28 à 14.53.48",915,{"small":61,"medium":71,"thumbnail":79},{"ext":62,"url":63,"hash":64,"mime":65,"name":66,"path":40,"size":67,"width":68,"height":69,"sizeInBytes":70},".png","https://reliable-canvas-66698e1f5b.media.strapiapp.com/small_Capture_d_ecran_2024_03_28_a_14_53_48_8fb2af93ce.png","small_Capture_d_ecran_2024_03_28_a_14_53_48_8fb2af93ce","image/png","small_Capture d’écran 2024-03-28 à 14.53.48.png",123.92,500,280,123919,{"ext":62,"url":72,"hash":73,"mime":65,"name":74,"path":40,"size":75,"width":76,"height":77,"sizeInBytes":78},"https://reliable-canvas-66698e1f5b.media.strapiapp.com/medium_Capture_d_ecran_2024_03_28_a_14_53_48_8fb2af93ce.png","medium_Capture_d_ecran_2024_03_28_a_14_53_48_8fb2af93ce","medium_Capture d’écran 2024-03-28 à 14.53.48.png",249.89,750,420,249891,{"ext":62,"url":80,"hash":81,"mime":65,"name":82,"path":40,"size":83,"width":84,"height":85,"sizeInBytes":86},"https://reliable-canvas-66698e1f5b.media.strapiapp.com/thumbnail_Capture_d_ecran_2024_03_28_a_14_53_48_8fb2af93ce.png","thumbnail_Capture_d_ecran_2024_03_28_a_14_53_48_8fb2af93ce","thumbnail_Capture d’écran 2024-03-28 à 14.53.48.png",36.91,245,137,36914,"Capture_d_ecran_2024_03_28_a_14_53_48_8fb2af93ce",83.99,"https://reliable-canvas-66698e1f5b.media.strapiapp.com/Capture_d_ecran_2024_03_28_a_14_53_48_8fb2af93ce.png","2025-11-04T14:36:20.839Z","2025-11-04T14:36:20.840Z",[93,106,118,119],{"id":94,"documentId":25,"metaTitle":95,"metaDescription":96,"slug":44,"heroTitle":97,"heroUnderTitle":98,"heroUnderTitle2":99,"heroUnderTitle3":100,"heroCTA":33,"heroVideoUrl":34,"blog":101,"createdAt":102,"updatedAt":103,"publishedAt":104,"locale":43,"__type":105},2663,"The ChatGPT revolution","Discover the history of ChatGPT, an artificial intelligence system developed by OpenAI, and how it generates text through LLM programs. Explore the challenges and ethical issues related to this revolutionary technology.","How is artificial intelligence capable of generating text ?","What is intelligence?","The history of ChatGPT","The different steps ","Artificial intelligence has become a major field of technological development, attracting the interest and investments of tech giants. One of the most notable projects in this field is ChatGPT, an artificial intelligence system developed by OpenAI. In this article, we will learn about what intelligence is, trace the fascinating history of ChatGPT, and explore how this technology is capable of generating text. Discover the motivations behind the creation of ChatGPT, the challenges it faces, and the ethical issues raised by this technology.\n\n## What is intelligence ?\n\nIntelligence is a faculty of the human mind that encompasses rational thinking, sensory perception, memory, and the ability to manipulate objects. According to Aristotle, sensory experience and memory play an important role in the development of intelligence.\n\nFor Nietzsche, intelligence is not limited to mere logical reasoning ability. It also includes creativity, intuition, and questioning established values.\n\nPierre Teilhard de Chardin proposes an optimistic vision of the future of humanity through the noosphere, a constantly evolving collective consciousness. According to him, our ability to cooperate, share knowledge, and work together is essential for the development of the noosphere and new advances in the fields of science, technology, and spirituality.\n\nIntelligence is therefore a complex faculty that goes beyond simple logical \nreasoning. It encompasses creativity, intuition, and questioning of norms.\n\n![Capture d’écran 2024-03-28 à 14.40.32](https://reliable-canvas-66698e1f5b.media.strapiapp.com/Capture_d_ecran_2024_03_28_a_14_40_32_f51de25293.png)\n\n## The history of ChatGPT\n\nThe history of ChatGPT dates back several years. In 2014, Google acquired DeepMind, a company founded in 2010, marking its entry into the field of artificial intelligence. The same year, IBM launched Watson, another artificial intelligence system.\nGoogle quickly took the lead in this field but eventually decided to put the ChatGPT project on hold. But what was the reason?\nTo avoid competing with its online advertising revenue, which amounted to $162 billion per year, accounting for 58% of its total revenue.\nHowever, Google's vision that machines could replace humans as a form of Darwinian evolution was opposed by Elon Musk. In partnership with Sam Altman, founder of Y Combinator, they decided to fund a similar project but with a different approach.\nIn December 2015, they created OpenAI, a non-profit organization with the goal of developing advanced artificial intelligence. They invested $100 million in this initiative. However, Elon Musk left OpenAI in 2018 to focus on other projects.\n\nOpenAI then evolved into an open-source version, distributed for free, allowing more people to use it and contribute to its development. In 2019, OpenAI transitioned from a non-profit association to a limited liability company to better align with its ambitions and partnerships.\nThat same year, Microsoft invested $1 billion in OpenAI, recognizing the potential of this advanced artificial intelligence. Then, in 2023, Microsoft reaffirmed its commitment by investing an additional $10 billion in OpenAI.\nHowever, in November 2023, a major crisis erupted within the organization. Sam Altman, co-founder of OpenAI, was fired, and eventually, the entire board of directors resigned. This crisis had a significant impact on the future of ChatGPT and raised questions about the direction of artificial intelligence.\nDespite these turbulences, the history of ChatGPT reflects the growing importance of artificial intelligence in our society. Tech giants like Google and Microsoft are investing substantial sums in the development of these technologies, while voices like Elon Musk's highlight the ethical issues and limitations of artificial intelligence.\n\n[Try Leexi for free](https://www.leexi.ai/demo#cta)\n\n## But how is AI capable of generating text?\n\nThanks to the LLM ( Large Learning Model) program !\n\nA large language model (LLM) is a type of artificial intelligence program capable of, among other tasks, recognizing and generating text. An LLM is a computer program that has been given enough examples to be able to recognize and interpret human language or other types of complex data. Many LLMs are trained on data collected from the internet, thousands or millions of gigabytes of text. They use a type of machine learning called deep learning to understand how characters, words, and phrases work together.\nIt is, therefore, a mathematical model that requires a large amount of data to function. Using this data, the model is trained to generate usable data. This is done by using sentences as prompts, which are then transformed into numerical vectors by quadratic projection onto the data. The process is repeated to find the next word in the sequence. However, despite its ability to generate text, OpenAI does not actually understand what it writes!\n\n![Capture d’écran 2024-03-28 à 14.41.35](https://reliable-canvas-66698e1f5b.media.strapiapp.com/Capture_d_ecran_2024_03_28_a_14_41_35_9da82b4a89.png)\n\n### The different stages of text generation\n\n1- Vectorization: Vectorization of questions with context is done by transforming words into numerical vectors using natural language processing techniques such as Word2Vec or GloVe.\n\n2- Orthogonal projection: Once the questions and context are vectorized, OpenAI uses an orthogonal projection to project these vectors onto the space of the pre-trained model. This projection helps find the vector closest to the model's base, which represents the next sequence of words in the given context.\n\n3- Weighting: If multiple vectors are found, OpenAI uses weighting techniques to decide which is the next word generated. These techniques can take into account factors such as the probability of the word in the given context, the frequency of the word in the training corpus, or other statistical metrics.\n\nBy using the closest vector to the base, OpenAI can consistently and contextually generate the next word.\n\n[Try Leexi's AI](https://www.leexi.ai/demo#cta)\n\n## In conclusion \n\nArtificial intelligence is a revolution as it is capable of generating text through large language models. These programs are trained on large amounts of textual data and use deep learning techniques to understand and generate human language. However, it is important to note that despite its ability to generate text, AI does not actually understand what it writes. These advancements raise ethical questions and require ongoing reflection on the responsible use of AI. Furthermore, the history of ChatGPT illustrates the rapid evolution of artificial intelligence and its increasing impact on our society. Despite obstacles and controversies, projects like ChatGPT continue to push the boundaries of what technology can achieve. The future of ChatGPT remains uncertain, but it is undeniable that artificial intelligence will continue to evolve and shape our world significantly.","2025-11-05T15:29:51.136Z","2026-02-11T10:52:53.567Z","2026-02-11T10:52:53.670Z","api::child-page.child-page",{"id":107,"documentId":25,"metaTitle":108,"metaDescription":109,"slug":50,"heroTitle":110,"heroUnderTitle":111,"heroUnderTitle2":112,"heroUnderTitle3":113,"heroCTA":114,"heroVideoUrl":34,"blog":115,"createdAt":116,"updatedAt":116,"publishedAt":117,"locale":49,"__type":105},6525,"Die ChatGPT-Revolution","Entdecken Sie die Geschichte von ChatGPT, einem KI-System von OpenAI, und wie es Texte mit LLM generiert. Erfahren Sie mehr über Herausforderungen und Ethk","Wie kann künstliche Intelligenz Texte erzeugen?","Was ist Intelligenz?","Die Geschichte von ChatGPT","Die verschiedenen Schritte","Teste Leexis AI","Künstliche Intelligenz ist ein bedeutendes Technologiefeld, das das Interesse und die Investitionen von Tech-Giganten anzieht. Eines der bemerkenswertesten Projekte ist ChatGPT, ein KI-System von OpenAI. In diesem Artikel erfahren wir, was Intelligenz ist, verfolgen die faszinierende Geschichte von ChatGPT und erkunden, wie diese Technologie Texte generiert. Entdecken Sie die Beweggründe für ChatGPT, die Herausforderungen und ethischen Fragen dieser Technologie.\n\n## Was ist Intelligenz?\n\nIntelligenz ist eine Fähigkeit des menschlichen Geistes, die rationales Denken, Sinneswahrnehmung, Gedächtnis und die Fähigkeit, Objekte zu manipulieren, umfasst. Nach Aristoteles spielen Sinneserfahrung und Gedächtnis eine wichtige Rolle bei der Entwicklung von Intelligenz.\n\nFür Nietzsche beschränkt sich Intelligenz nicht nur auf logisches Denken, sondern umfasst auch Kreativität, Intuition und das Hinterfragen etablierter Werte.\n\nPierre Teilhard de Chardin sieht optimistisch die Zukunft der Menschheit durch die Noosphäre, ein sich ständig entwickelndes kollektives Bewusstsein. Unsere Fähigkeit zur Kooperation, Wissensaustausch und Zusammenarbeit ist entscheidend für die Entwicklung der Noosphäre und Fortschritte in Wissenschaft, Technologie und Spiritualität.\n\nIntelligenz ist somit eine komplexe Fähigkeit, die über logisches Denken hinausgeht und Kreativität, Intuition sowie das Hinterfragen von Normen einschließt.\n\n![Capture d’écran 2024-03-28 à 14.40.32](https://reliable-canvas-66698e1f5b.media.strapiapp.com/Capture_d_ecran_2024_03_28_a_14_40_32_f51de25293.png)\n\n## Die Geschichte von ChatGPT\n\nDie Geschichte von ChatGPT reicht mehrere Jahre zurück. 2014 erwarb Google DeepMind, ein 2010 gegründetes Unternehmen, und stieg damit in die KI-Forschung ein. Im selben Jahr startete IBM Watson, ein weiteres KI-System.\nGoogle führte das Feld an, setzte das ChatGPT-Projekt aber aus, um nicht mit seinen Online-Werbeeinnahmen von 162 Mrd. USD jährlich (58 % des Gesamtumsatzes) zu konkurrieren.\nElon Musk widersprach der Vorstellung, Maschinen könnten Menschen durch eine Art Darwinismus ersetzen. Gemeinsam mit Sam Altman, Gründer von Y Combinator, finanzierte er ein ähnliches Projekt mit anderem Ansatz.\n2015 gründeten sie OpenAI, eine Non-Profit-Organisation zur Entwicklung fortschrittlicher KI, mit einer Investition von 100 Mio. USD. Musk verließ OpenAI 2018, um sich anderen Projekten zu widmen.\n\nOpenAI entwickelte sich zu einer Open-Source-Version, die kostenlos genutzt und weiterentwickelt werden kann. 2019 wandelte sich OpenAI in eine GmbH, um Ambitionen und Partnerschaften besser zu unterstützen.\nMicrosoft investierte 2019 eine Milliarde USD in OpenAI und 2023 weitere 10 Milliarden USD.\nIm November 2023 kam es zu einer Krise: Sam Altman wurde entlassen, der Vorstand trat zurück. Dies beeinflusste die Zukunft von ChatGPT und warf Fragen zur KI-Entwicklung auf.\n\nTrotz Turbulenzen zeigt die Geschichte von ChatGPT die wachsende Bedeutung von KI. Tech-Giganten investieren stark, während Stimmen wie Elon Musk ethische Fragen und Grenzen der KI betonen.\n\n[Teste Leexi kostenlos](https://www.leexi.ai/demo#cta)\n\n## Aber wie erzeugt AI Texte?\n\nDank des LLM (Large Language Model) Programms!\n\nEin LLM ist ein KI-Programm, das Texte erkennen und erzeugen kann. Es wurde mit vielen Beispielen trainiert, um menschliche Sprache oder komplexe Daten zu verstehen. Viele LLMs nutzen Daten aus dem Internet, oft Millionen Gigabyte Text. Sie verwenden Deep Learning, um zu verstehen, wie Zeichen, Wörter und Sätze zusammenwirken.\nEs handelt sich um ein mathematisches Modell, das große Datenmengen benötigt. Das Modell wird trainiert, um nutzbare Daten zu generieren, indem Sätze als Eingabe dienen, die in numerische Vektoren umgewandelt werden. Der Prozess wiederholt sich, um das nächste Wort zu finden. Trotz der Textgenerierung versteht OpenAI nicht wirklich, was es schreibt!\n\n![Capture d’écran 2024-03-28 à 14.41.35](https://reliable-canvas-66698e1f5b.media.strapiapp.com/Capture_d_ecran_2024_03_28_a_14_41_35_9da82b4a89.png)\n\n### Die verschiedenen Schritte der Textgenerierung\n\n1- Vektorisierung: Fragen mit Kontext werden in numerische Vektoren umgewandelt, z. B. mit Word2Vec oder GloVe.\n\n2- Orthogonale Projektion: Die Vektoren werden auf den Raum des vortrainierten Modells projiziert, um den nächsten Wortvektor im Kontext zu finden.\n\n3- Gewichtung: Bei mehreren Vektoren entscheidet OpenAI mittels Gewichtung, welches Wort als nächstes generiert wird, basierend auf Wahrscheinlichkeiten und Häufigkeiten.\n\nDurch Auswahl des nächsten Vektors kann OpenAI kontextuell passende Wörter erzeugen.\n\n[Teste Leexis AI](https://www.leexi.ai/demo#cta)\n\n## Fazit\n\nKünstliche Intelligenz revolutioniert durch große Sprachmodelle die Texterzeugung. Diese Programme sind mit umfangreichen Textdaten trainiert und nutzen Deep Learning, um menschliche Sprache zu verstehen und zu erzeugen. Dennoch versteht AI nicht wirklich, was sie schreibt. Diese Entwicklungen werfen ethische Fragen auf und erfordern verantwortungsvollen Umgang. Die Geschichte von ChatGPT zeigt die rasante Entwicklung und den wachsenden Einfluss von KI. Trotz Herausforderungen treiben Projekte wie ChatGPT die technologischen Grenzen weiter voran. Die Zukunft von ChatGPT ist ungewiss, doch KI wird unsere Welt weiterhin prägen.","2026-06-03T16:14:41.180Z","2026-06-03T16:14:41.244Z",{"id":24,"documentId":25,"metaTitle":26,"metaDescription":27,"slug":28,"heroTitle":29,"heroUnderTitle":30,"heroUnderTitle2":31,"heroUnderTitle3":32,"heroCTA":33,"heroVideoUrl":34,"blog":35,"createdAt":36,"updatedAt":37,"publishedAt":38,"locale":39,"__type":105},{"id":120,"documentId":25,"metaTitle":121,"metaDescription":122,"slug":53,"heroTitle":123,"heroUnderTitle":124,"heroUnderTitle2":125,"heroUnderTitle3":126,"heroCTA":127,"heroVideoUrl":34,"blog":128,"createdAt":129,"updatedAt":129,"publishedAt":130,"locale":52,"__type":105},7581,"La rivoluzione ChatGPT","Scopri la storia di ChatGPT, IA di OpenAI, e come genera testo con LLM. Sfide ed etica di questa tecnologia rivoluzionaria.","Come fa l'intelligenza artificiale a generare testo?","Cos'è l'intelligenza?","La storia di ChatGPT","I diversi passaggi","Prova l'AI di Leexi","L'intelligenza artificiale è diventata un campo tecnologico di primo piano, attirando interesse e investimenti dai giganti del tech. Uno dei progetti più noti è ChatGPT, un sistema di intelligenza artificiale sviluppato da OpenAI. In questo articolo esploreremo cos'è l'intelligenza, ripercorreremo la storia affascinante di ChatGPT e vedremo come questa tecnologia genera testo. Scopri le motivazioni dietro la creazione di ChatGPT, le sfide affrontate e le questioni etiche sollevate.\n\n## Cos'è l'intelligenza?\n\nL'intelligenza è una facoltà della mente umana che comprende il pensiero razionale, la percezione sensoriale, la memoria e la capacità di manipolare oggetti. Secondo Aristotele, esperienza sensoriale e memoria sono fondamentali nello sviluppo dell'intelligenza.\n\nPer Nietzsche, l'intelligenza non si limita alla logica, ma include creatività, intuizione e messa in discussione dei valori.\n\nPierre Teilhard de Chardin propone una visione ottimistica del futuro umano tramite la noosfera, una coscienza collettiva in evoluzione. Secondo lui, cooperazione e condivisione del sapere sono essenziali per lo sviluppo della noosfera e i progressi in scienza, tecnologia e spiritualità.\n\nL'intelligenza è quindi una facoltà complessa che va oltre la semplice logica, includendo creatività, intuizione e critica delle norme.\n\n![Capture d’écran 2024-03-28 à 14.40.32](https://reliable-canvas-66698e1f5b.media.strapiapp.com/Capture_d_ecran_2024_03_28_a_14_40_32_f51de25293.png)\n\n## La storia di ChatGPT\n\nLa storia di ChatGPT risale a diversi anni fa. Nel 2014 Google acquisì DeepMind, fondata nel 2010, entrando nel campo dell'intelligenza artificiale. Nello stesso anno IBM lanciò Watson, un altro sistema IA.\nGoogle prese presto il comando ma poi mise in pausa il progetto ChatGPT per non competere con i suoi ricavi pubblicitari online, pari a 162 miliardi di dollari annui, il 58% del totale.\nLa visione di Google di sostituire l'uomo con macchine come evoluzione darwiniana fu contrastata da Elon Musk. Insieme a Sam Altman, fondatore di Y Combinator, decisero di finanziare un progetto simile con un approccio diverso.\nNel dicembre 2015 crearono OpenAI, organizzazione no-profit per sviluppare IA avanzata, investendo 100 milioni di dollari. Musk lasciò OpenAI nel 2018 per altri progetti.\n\nOpenAI evolse in versione open-source gratuita, permettendo a più persone di usarla e contribuire. Nel 2019 divenne una società a responsabilità limitata per meglio allinearsi a ambizioni e partnership.\nNello stesso anno Microsoft investì 1 miliardo di dollari in OpenAI, riconoscendo il potenziale. Nel 2023 Microsoft confermò l'impegno con altri 10 miliardi.\nNel novembre 2023 scoppiò una crisi interna: Sam Altman fu licenziato e il consiglio si dimise. Questa crisi influenzò il futuro di ChatGPT e sollevò dubbi sull'evoluzione dell'IA.\nNonostante le turbolenze, la storia di ChatGPT riflette l'importanza crescente dell'IA nella società. Giganti come Google e Microsoft investono molto, mentre voci come Musk evidenziano questioni etiche e limiti.\n\n[Prova Leexi gratis](https://www.leexi.ai/demo#cta)\n\n## Ma come fa l'AI a generare testo?\n\nGrazie al programma LLM (Large Language Model)!\n\nUn modello linguistico di grandi dimensioni (LLM) è un tipo di programma IA capace di riconoscere e generare testo. Un LLM è un programma che ha ricevuto molti esempi per interpretare il linguaggio umano o dati complessi. Molti LLM sono addestrati su dati raccolti da internet, migliaia o milioni di gigabyte di testo. Usano il deep learning per comprendere come caratteri, parole e frasi si combinano.\nÈ un modello matematico che richiede molti dati per funzionare. Usando questi dati, il modello impara a generare dati utili. Ciò avviene trasformando frasi in vettori numerici tramite proiezione quadratica sui dati. Il processo si ripete per trovare la parola successiva. Nonostante generi testo, OpenAI non comprende realmente ciò che scrive!\n\n![Capture d’écran 2024-03-28 à 14.41.35](https://reliable-canvas-66698e1f5b.media.strapiapp.com/Capture_d_ecran_2024_03_28_a_14_41_35_9da82b4a89.png)\n\n### I diversi passaggi della generazione del testo\n\n1- Vettorizzazione: le domande con contesto vengono trasformate in vettori numerici usando tecniche NLP come Word2Vec o GloVe.\n\n2- Proiezione ortogonale: i vettori sono proiettati nello spazio del modello pre-addestrato per trovare il vettore più vicino alla base, rappresentante la sequenza successiva.\n\n3- Ponderazione: se ci sono più vettori, si usano tecniche di ponderazione per scegliere la parola successiva, considerando probabilità, frequenza e metriche statistiche.\n\nUsando il vettore più vicino alla base, OpenAI genera coerentemente la parola successiva nel contesto.\n\n[Prova l'AI di Leexi](https://www.leexi.ai/demo#cta)\n\n## In conclusione\n\nL'intelligenza artificiale è una rivoluzione perché genera testo tramite modelli linguistici di grandi dimensioni. Questi programmi, addestrati su grandi quantità di testo, usano il deep learning per comprendere e generare linguaggio umano. Tuttavia, è importante notare che, pur generando testo, l'IA non comprende realmente ciò che scrive. Questi progressi sollevano questioni etiche e richiedono riflessione sull'uso responsabile dell'IA. Inoltre, la storia di ChatGPT mostra l'evoluzione rapida dell'IA e il suo impatto crescente sulla società. Nonostante ostacoli e controversie, progetti come ChatGPT spingono i limiti della tecnologia. Il futuro di ChatGPT è incerto, ma è certo che l'intelligenza artificiale continuerà a evolversi e a plasmare il nostro mondo.","2026-06-03T18:05:07.544Z","2026-06-03T18:05:07.623Z",[],"child-pages",{"left":4,"top":4,"width":134,"height":10,"rotate":4,"vFlip":6,"hFlip":6,"body":135},330,"\u003Cg fill=\"none\">\u003Cpath d=\"M325.378 65.7492V50.0301H329.083V65.7492H325.378ZM327.241 47.7992C326.654 47.7992 326.149 47.6047 325.726 47.2158C325.303 46.8201 325.092 46.346 325.092 45.7933C325.092 45.2339 325.303 44.7597 325.726 44.3708C326.149 43.9751 326.654 43.7773 327.241 43.7773C327.835 43.7773 328.339 43.9751 328.756 44.3708C329.179 44.7597 329.39 45.2339 329.39 45.7933C329.39 46.346 329.179 46.8201 328.756 47.2158C328.339 47.6047 327.835 47.7992 327.241 47.7992Z\" fill=\"white\"/>\n\u003Cpath d=\"M313.354 66.0664C312.357 66.0664 311.46 65.889 310.662 65.5342C309.871 65.1726 309.243 64.6405 308.779 63.9378C308.322 63.235 308.093 62.3686 308.093 61.3384C308.093 60.4515 308.257 59.718 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