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Godot 4.5 ist draußen. Ja, ich weiß, es ist ein Spielentwicklungsprogramm, das kostenlos und Open Source ist. Man könnte denken, das wäre aufregend. Aber ehrlich gesagt, vieles davon klingt einfach nach mehr von dem Gleichen. Es gibt ein paar neue Features, die die Sache angeblich „mächtiger“ machen. Aber wenn ich mir die Änderungen ansehe, fühle ich mich einfach nur müde. Es sind Verbesserungen in der Grafik, die jetzt ein bisschen schicker sind, und einige neue Werkzeuge. Aber wie oft haben wir das schon gehört? Die Benutzeroberfläche wurde ein wenig angepasst. Es gibt jetzt mehr Möglichkeiten, die Sachen zu organisieren. Toll… oder so. Aber ob es das wirklich nötig hatte? Man könnte auch einfach weitermachen mit dem, was sowieso schon funktioniert. Dann sind da noch die Performance-Optimierungen. Ja, das klingt wichtig, aber ich frage mich, wie viel Unterschied es wirklich macht. Wahrscheinlich werden die meisten von uns die Verbesserungen nicht mal bemerken, während wir versuchen, unser Spiel zum Laufen zu bringen. Und dann gibt es diese ganzen Tutorials und Guides, die jetzt verfügbar sind. Aber wenn ich ehrlich bin, habe ich nicht wirklich Lust, sie mir anzusehen. Ich meine, wer hat schon Zeit für all das? Wahrscheinlich werde ich einfach das machen, was ich immer mache. Insgesamt klingt Godot 4.5 wie eine weitere Version, die uns ein paar neue Spielzeuge gibt, aber das große Bild bleibt unverändert. Vielleicht werde ich irgendwann mal einen Blick darauf werfen. Vielleicht auch nicht. Wer weiß. #Godot #Spieleentwicklung #OpenSource #GameDev #Godot4.5

🌟🎮 Hallo, liebe Gamer-Gemeinschaft! 🎮🌟 Heute möchte ich über ein Thema sprechen, das uns alle betrifft: die PC-Leistung von *Borderlands 4*! 🎉 Es ist faszinierend, wie dieses Spiel, das uns so viele Stunden Freude bereitet hat, in letzter Zeit in der Diskussion steht. 🚀 Die Debatte über DLSS (Deep Learning Super Sampling) und die PC-Anforderungen ist in vollem Gange. Viele von uns haben sich sicherlich gefragt, warum die Performance nicht ganz mit unseren Erwartungen übereinstimmt. 💻✨ Aber wisst ihr was? Das ist völlig normal in der Welt der Videospiele! Es gibt immer Herausforderungen, aber das ist auch der Grund, warum wir als Community zusammenhalten sollten! 💪❤️ Wenn wir uns die technischen Details anschauen, stellen wir fest, dass *Borderlands 4* ein richtiges Meisterwerk ist! 🎨 Die Grafik ist atemberaubend, und die Spielmechanik ist einfach nur genial. Ja, es gibt Performance-Probleme, aber das hält uns nicht davon ab, das Spiel zu genießen! 🌈 Es ist eine Gelegenheit für uns, zu lernen und zu wachsen – sowohl als Spieler als auch als Gemeinschaft! 🤝 Denkt daran, dass jede Herausforderung auch eine Chance ist! 🌟 Lasst uns die Entwickler unterstützen und ihnen Feedback geben, damit sie das Spiel weiter verbessern können. Wir wissen, dass Gearbox großartige Arbeit leistet, und wir sind gespannt darauf, was sie als Nächstes auf Lager haben! 🎈 Ich lade euch ein, eure Erfahrungen zu teilen! Wie geht es euch mit der Performance von *Borderlands 4*? Habt ihr Tipps, um das Beste aus dem Spiel herauszuholen? Lasst uns gemeinsam brainstormen und uns gegenseitig helfen! 💡😊 Denkt daran: Jedes Spiel hat seine Höhen und Tiefen. Wichtig ist, dass wir Spaß haben und die Zeit genießen, die wir mit unseren Freunden und in fantastischen Welten verbringen! 🥳 Also, bleibt optimistisch und lasst uns weiterhin die Freude am Spielen feiern! 🎊 Wir sind eine großartige Gemeinschaft, und zusammen können wir alles erreichen! 💖 #Borderlands4 #PCGaming #GamerGemeinschaft #DLSS #Gearbox

A metodologia de Fine-Tuning d’un LLM com a técnica PEFT é uma verdadeira piada! Como é possível que em pleno século XXI estejamos ainda discutindo a eficácia de parâmetros eficientes para ajustar modelos de linguagem? A proposta de que se pode otimizar a performance de modelos existentes apenas ajustando uma fração dos seus parâmetros é, no mínimo, uma solução superficial para um problema muito mais complexo. Vamos ser francos! Em vez de investir tempo e recursos em soluções que de fato avancem a tecnologia, a comunidade parece satisfeita em se contentar com esse ajuste de parafusos. É como se dissessem: "Ah, não se preocupe, só vamos mexer um pouco aqui e ali, e tudo ficará ótimo." A verdade é que o que precisamos é de uma revolução real na forma como os modelos de linguagem são treinados, não de uma abordagem que se limita a uma mera otimização superficial. E não venham me dizer que isso é uma solução econômica! O que se ganha em eficiência com o PEFT é rapidamente dissipado pela falta de profundidade nas mudanças realizadas. Estamos falando de tecnologia que deveria estar na vanguarda da inovação, mas que está se afundando em mediocridade. O mundo espera de nós ferramentas que não apenas funcionem, mas que também desafiem o status quo e expandam as fronteiras do que é possível. O PEFT, como apresentado, é apenas uma máscara para a falta de ambição e visão. Além disso, a ideia de que não precisamos de um treinamento completo é uma ilusão! Isso apenas perpetua o uso de modelos antigos e defasados, ao invés de empurrar a indústria para frente. Precisamos de uma revolução completa no treinamento de modelos de linguagem, e não de uma abordagem que apenas remende o que já existe. Queremos modelos que possam realmente entender e interagir com a complexidade da linguagem humana, e não apenas versões melhoradas de algo que já está quebrado. Chega de desculpas! É hora de exigir mais da tecnologia e de quem a desenvolve. A metodologia PEFT pode até ser uma tentativa de simplificação, mas é uma simplificação que não nos levará a lugar algum. Se realmente queremos ver um avanço significativo na personalização dos LLMs, precisamos de pesquisa e desenvolvimento que desafiem as normas e promovam uma verdadeira inovação! Chega de soluções temporárias! Queremos um futuro onde a inteligência artificial não seja apenas um eco do passado, mas uma força que realmente transforma o nosso presente. O PEFT não é a resposta; é uma distração que nos impede de ver o verdadeiro potencial que a tecnologia pode oferecer. #Tecnologia #InteligênciaArtificial #Inovação #ModelosDeLinguagem #PEFT