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PaLM (Pathways Language Model) is a 540 billion-parameter dense decoder-only transformer-based large language model (LLM) developed by Google AI. Researchers also trained smaller versions of PaLM (with 8 and 62 billion parameters) to test the effects of model scale.
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Explore the main themes, entities and connections around PaLM. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
model google also language lamda trained billion reasoning large ai announced 2023 using dataset 540 billion-parameter developed parameters scale gemini
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| PaLM | Available in | English | 1.00 | infobox |
| PaLM | Developer | Google AI | 1.00 | infobox |
| PaLM | Predecessor | LaMDA | 1.00 | infobox |
| PaLM | Successor | Google Gemini | 1.00 | infobox |
| PaLM | Type | Large language model | 1.00 | infobox |
| PaLM | Website | ai.google/discover/palm2/ | 1.00 | infobox |
| PaLM | related to Model | When | 0.60 | section |
| PaLM | related to Model | The | 0.60 | section |
| PaLM | related to Model | April | 0.60 | section |
| PaLM | related to Model | March | 0.60 | section |
| PaLM | related to Model | 0.60 | section | |
| PaLM | related to Model | API | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.