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generative AI
Umfassender Leitfaden zu IBM Watsonx.ai: Erkundung der generativen KI
Entfesseln Sie das Potenzial von IBM Watsonx.ai in diesem detaillierten Leitfaden. Erfahren Sie mehr über generative KI, Prompt-Engineering und wie Sie große Sprachmodelle effektiv für Ihre Anwendu...
Fine-Tuning TinyLLaMA with Unsloth: Comprehensive Step-by-Step Guide
Discover how to fine-tune TinyLLaMA using Unsloth in this complete tutorial for developers and AI enthusiasts. Learn essential Python setup, GPU usage, dataset preparation, and W&B monitoring t...
Die richtige KI-Modell für synthetische Daten wählen: LLaMA 3.1 vs Mistral 2 Large
Erforschen Sie einen umfassenden Vergleich der Modelle LLaMA 3.1 und Mistral 2 Large für die Generierung synthetischer Daten. Entdecken Sie deren Stärken, Unterschiede und die besten Anwendungsfäll...
Ein Einblick in zufällige Twitter-Trends und Highlights
Entdecken Sie die neuesten zufälligen Twitter-Trends und Highlights. Erfahren Sie, was im Trend liegt, beliebte Tweets und engagieren Sie sich mit der skurrilen und unberechenbaren Seite der Twitte...
Mastering Fine-Tuning with TinyLLaMA and Unsloth
Discover how to fine-tune the TinyLLaMA model effectively using Unsloth in this comprehensive guide. Perfect for developers and AI enthusiasts, this hands-on tutorial covers setup, monitoring, trai...
Die beste KI-Modellwahl für synthetische Daten: LLaMA 3.1 vs Mistral 2 Large
Erforschen Sie die Stärken und Schwächen von LLaMA 3.1 und Mistral 2 Large bei der Generierung synthetischer Daten. Erfahren Sie, welches Modell eine bessere Leistung für Ihre Bedürfnisse bietet, d...