AI Grounding
Techniques to anchor AI outputs in verified sources and facts, reducing hallucinations and improving reliability.
Artificial intelligence, large language models, and AI-powered marketing tools.
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Custom SolutionsTechniques to anchor AI outputs in verified sources and facts, reducing hallucinations and improving reliability.
A phenomenon where a large language model generates false or illogical information but presents it as fact.
A measure of how accurately an AI model attributes information to its original source.
Technical standards for verifying the origin and authenticity of digital content, increasingly important for AI-generated media.
Numerical representations of text, images, or other data that capture semantic meaning, enabling similarity search and machine learning.
Adapting a pre-trained AI model to a specific task or domain by training it on additional specialised data.
A type of AI model trained on vast text data to understand and generate human-like language, powering chatbots, content tools, and search features.
The maximum acceptable response time for an AI system or API call, critical for user experience in real-time applications.
Gradual degradation in AI model performance over time as real-world data patterns change from the original training data.
The practice of crafting effective prompts to guide AI models toward desired outputs, a key skill for working with LLMs.
An AI architecture that combines retrieval of relevant documents with language generation, improving accuracy and grounding responses in real data.
Breaking content into meaningful segments based on context rather than arbitrary length, improving AI retrieval and understanding.
The pricing model for LLM APIs based on the number of tokens (text units) processed in inputs and outputs.
An LLM capability to invoke external functions or APIs during generation, enabling AI agents to take actions and access real-time data.
A database optimised for storing and querying high-dimensional vectors (embeddings), enabling semantic search and AI applications.
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