LaMDA

Google’s LaMDA enables natural, sensible, and specific dialogue, powering Bard/Gemini with Transformer‑based AI.

Natural Language Processing Updated 1 hour ago

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LaMDA's Top Features

Free‑flowing conversation across a wide range of topics

Dialogue‑focused training for conversational nuance

Built on the Transformer neural network architecture

Emphasis on sensibleness and specificity in responses

Ability to handle natural topic shifts in dialogue

Foundation for more natural human‑computer interaction

Built on years of Google NLP research and Search expertise

Post‑training fine‑tuning to improve quality and grounding

Safety layers, including filters and response grounding

Supports products like Bard (now Gemini) for creative, high‑quality responses

Frequently asked questions about LaMDA

LaMDA (Language Model for Dialogue Applications) is Google’s breakthrough conversational AI designed for open‑ended, free‑flowing dialogue across many topics.

Unlike general models trained mainly on text, LaMDA is trained on dialogue, helping it produce responses that are more natural, sensible, and contextually specific.

LaMDA is built on the Transformer neural network architecture, invented and open‑sourced by Google Research in 2017.

It provides natural, sensible, and specific responses, making conversations smoother and more human‑like, and powers experiences like Bard (now Gemini).

Bard, Google’s conversational AI service—now called Gemini—uses a version of LaMDA to generate creative, high‑quality responses drawing on web information.

LaMDA undergoes internal and adversarial testing, expert red‑teaming, and employs safety filters and grounding techniques to reduce harmful or inaccurate content.

Like many AI systems, LaMDA can reflect real‑world biases and may produce inaccurate or inappropriate content; Google continues research to mitigate these risks.

Users can interact with LaMDA‑powered demos via the AI Test Kitchen and through products like Bard/Gemini, which are rolled out gradually for testing and feedback.

User feedback, combined with internal testing, is essential to improving quality, safety, and speed, guiding responsible innovation of LaMDA‑powered services.

By enabling natural conversation and offering alternative drafts, LaMDA‑powered tools like Bard help jumpstart productivity, creativity, and curiosity.