GROK

X AI precio 
GROK

$0.0...00167
  

2.39% (1 D)

Gráfico de X AI a USD

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Estadísticas de X AI
Capitalización de mercado
 

0.00%

$166,999
#6941
Volumen (24h)
 

0.00%

$119
#6593
Volumen/capitalización de mercado (24h)
 
0.07%
Suministro circulante auto reportado
 
100,000,000,000,000 GROK
100.00%
Suministro total
 
100,000,000,000,000 GROK
Suministro máx.
 
100,000,000,000,000 GROK
Capitalización bursátil totalmente diluida
 
$166,999
Convertidor de GROK a USD
GROK
USD
Rendimiento de precios
24 horas 
Disminuir
$0.0...01631
Elevar
$0.0...00167
Máximo histórico
Nov 09, 2023 (6 months ago)
$0.0...01146
-85.43%
Mínimo histórico
Jan 13, 2024 (4 months ago)
$0.0...09929
+68.19%
Ver datos históricos
Popularidad
En listas de seguimiento5,511x
3203rd / 9.9K
Etiquetas
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X AI noticias

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Acerca de X AI

GROK AI model is continuously learning and adapting. We got 3 working MVPs which is Grok Artist, Grok GPT and Grok Scanner.

GROK Artist inherits the best practices from Dall-E 2 and Latent Diffusion while introducing some new ideas. It uses the CLIP model as the text and image encoder and employs a diffusion image prior (mapping) between the CLIP modalities' latent spaces.

URL: https://grok.gd/draw

GROK GPT is powered by GPT-4 language models that can be triggered to execute natural language processes with the assistance of accurately constructed text prompts. However, these models can create outcomes that are false, toxic, or reflect bad sentiments. This is due to the fact that GPT-4 is trained to guess the subsequent word in a vast collection of online text rather than to secure the language task that the user wishes. In other words, these models have not been designed to meet the needs of their users.

URL: https://grok.gd/gpt

Grok Scanner adopting a step-by-step approach to creating such a detector, including collecting data, training a machine learning model, to improve performance.

Depending on the size and complexity of the data, we employ a range of algorithms, including decision trees, random forests, and neural networks. Additionally, we preprocess the data by standardizing it, dealing with missing values, etc.

URL: https://grok.gd/scanner