Large language models are models that use deep learning algorithms to process large amounts of text. They are designed to understand the structure of natural language and to pick out meanings and relationships between words. These models are capable of understanding context, identifying and extracting information from text, and making predictions about a text content
string
gemini-2.0-flash-lite
gemini-2.0-flash-lite,
gemini-2.0-flash,
gemini-1.5-flash,
gemini-1.5-pro,
gpt-4o-mini
Area,
AreaLine,
Bar,
BarLine,
Boxplot,
Bubble,
Bullet,
Chord,
Circular,
Contour,
Correlation,
Density,
DotLine,
Dotplot,
Dumbbell,
Fish,
Gantt,
Genome,
Heatmap,
Histogram,
Line,
Lollipop,
Map,
Meter,
Network,
ParallelCoordinates,
Pie,
Radar,
Sankey,
Scatter2D,
Scatter3D,
ScatterBubble2D,
Stacked,
StackedLine,
StackedPercent,
StackedPercentLine,
Streamgraph,
Sunburst,
TagCloud,
Tree,
Treemap,
Venn,
Violin,
Waterfall