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The end-to-end platform to annotate, version, and manage ground truth data for your AI.
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SuperAnnotate on X: Navigating Retrieval Augmented Generation (#RAG) systems: Unraveling challenges and precision fine-tuning techniques. Explore the science behind optimizing embedding models, rerankers, and large language models (#LLM) for tailored
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RAG Vs Finetuning Vs Prompt Engineering: A Pragmatic View On LLM's Implementation - Ethical AI Authority - Demystifying AI For Real-World Applications
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Optimizing LLMs: Best Practices (Prompt Engineering, RAG and Fine-tuning), by Luv Verma
SuperAnnotate on LinkedIn: 30 best data labeling tools [2023 Q4 Updated]
Retrieval-Augmented Generation vs. Fine-Tuning: A Comparative Guide to Enhancing AI Models