Learn Your Way: Reimagining textbooks with generative AI
Education Innovation
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How to optimize LLM performance and output quality: A practical guide
Have you ever asked generative AI the same question twice – only to get two very different answers? That inconsistency can be frustrating, especially when you’re building systems meant to serve real users in high-stakes industries like finance, healthcare, or law. It’s a reminder that while foundation models are incredibly powerful, they’re far from perfect….
Instruction Tuning for Large Language Models
The mannequin is uncovered to numerous examples of directions, starting from easy queries to complicated multi-step duties. This helps the mannequin be taught to interpret and execute directions precisely, making it extra usable and adaptable. To strengthen LLMs’ capacity to understand and act on directions, instruction tuning datasets from LLM information firms like Cogito Tech…
Data Labeling for LLMs: The Key to Safer and More Effective AI Models
However, despite their impressive human-like intelligence, they are far from infallible, often producing incorrect, misleading, or even harmful outputs. This necessitates human oversight to ensure their safety and reliability. This article explores the role of data labeling for LLMs and how it bridges the gap between the potential of Gen AI models and their reliability…
