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Evals, RAG, fine-tuning, caching, guardrails, defensive UX, and collecting user feedback.

The age of artificial intelligence is upon us. Here are the key terms you’ll need to know to be a successful marketer in an AI world.

With new terminology coming out as fast as AI tech evolves, here's a list to help keep up.

ChatGPT is a deep-learning model created by OpenAI whose ability to generate human-like prose has made AI a topic of conversation. Learn more

The goal of contrastive representation learning is to learn such an embedding space in which similar sample pairs stay close to each other while dissimilar ones are far apart. Contrastive learning can be applied to both supervised and unsupervised settings. When working with unsupervised data, contrastive learning is one of the most powerful approaches in self-supervised learning. Contrastive Training Objectives In early versions of loss functions for contrastive learning, only one positive and ...

How this novel neural network architecture changes the way we analyze complex data types, and powers revolutionary models like GPT-3 and BERT.

Nick D Burton Making machines artificially intelligent is a time-consuming practice of collecting and manually labelling data for AIs to learn from. Today, researchers are enabling machines to learn new concepts continuously from far fewer data samples; in 2021, this will continue, as AI systems rely less on human labelling, and more on teaching themselves directly from interactions with users. This will make a big difference to the “intelligence” of AI assistants. Today, it is second natur...