RankBrain is not dead.

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Here's an example of Google showing a more appropriate snippet displayed for the query "Parking on a hill with no curb." In the past, this query has caused confusion in Google's systems. Google said, "We placed too much importance on the word 'curb' and ignored the word 'no,' not understanding how important that word was to properly understanding this query.

BERT-Large is one of the versions of the BERT (Bidirectional Encoder Representations from Transformers) model. BERT was originally introduced in two sizes: BERT-Base and BERT-Large.

BERT-Large is a larger version of the model that features more parameters and greater language modeling ability. The original BERT Large has 345 million parameters, while BERT-Base has 110 million parameters.

With more parameters, BERT-Large is able to learn more detailed representations of language and understand more complex contexts in text data. This is especially useful for tasks that require a deep understanding of semantics and context, such as high-level machine translation, large-scale natural language analysis, or generating image descriptions.

It is worth noting that BERT-Large is more computationally and memory intensive than BERT-Base due to its larger number of parameters. Therefore, in practice, the use of BERT-Large may be limited to computationally more resource-intensive environments or applications that require very high-quality language representations.

RankBrain is the first AI algorithm used by Google. It was created to understand the intent of queries in 2015. It examines both the queries and the content of web pages in the Google jordan whatsapp lead index to better understand the meaning of those queries and their context. BERT is not a replacement for RankBrain, it is an additional method of understanding content and queries. It is an addition to Google's ranking system. RankBrain will be used for other queries, where it excels. When Google believes that a query can be better understood using BERT, Google will apply the BERT algorithm to it. In practice, a single query can use multiple methods to understand the query, including BERT.

Google explained that there are many ways it can better understand the context in your query. If you make a spelling mistake, the spell checkers help Google find the correct word in the correct form. If you use a word that is a synonym for the actual word, Google can match it using appropriate algorithms to give the best test-oval result. BERT is another algorithm that Google uses to understand language as a human would understand it. Depending on what you are looking for, you can better use any available algorithm or combination of these algorithms to better understand your query and get a more relevant result.

Can you optimize your site for BERT or RankBrain?
It's unlikely. That's what Google said. They shared that SEO doesn't apply to these algorithms, that SEO won't affect them. That means Google felt we wouldn't be able to interfere with the results. Their recommendation is: "Write content for users, as always." Google has a goal to better understand the search engine query and better match it with more relevant results.