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New rival to OpenAI and Google: A new breath of artificial intelligence from Meta US-based technology giant Meta added a new dimension to the artificial intelligence race and announced its own multi-modal artificial intelligence model called "Chameleon". With this new model, Meta joins the artificial intelligence struggle between OpenAI and Google. As the parent company of #Facebook , #WhatsApp and #Instagram , #Meta took an important step in the field of artificial intelligence and developed the Chameleon model. Multimodal AI models are viewed as more advanced versions of large language models, with their ability to process various forms of media such as texts, images, audio recordings, and videos. The Chameleon team explained that the model consists of a set of "early fusion token-based hybrid models capable of understanding and rendering images and text in any arbitrary order." Since Meta's new model is built on an old fusion architecture, it can combine multiple inputs, unlike other systems. To date, most AI models have treated data as separate entities in the early stages and then searched for and brought together these connections. This technique is called late fusion and has limitations regarding integration. To solve this problem, Meta designed their model based on early fusion architecture. This approach enables more holistic processing of data and makes the integration of various forms of media more effective. Meta's Chameleon model aims to take one step forward in artificial intelligence technologies. Competing with giants such as OpenAI and Google, Meta aims to gain a stronger position in the field of artificial intelligence with this new model. Chameleon is considered an innovative step by Meta that is expected to play a significant role in AI research and applications. Meta's new multi-modal artificial intelligence model Chameleon stands out with its capacity to process various media formats and early fusion architecture. This model reinforces Meta's goal of becoming a major player in the artificial intelligence race.

New rival to OpenAI and Google: A new breath of artificial intelligence from Meta

US-based technology giant Meta added a new dimension to the artificial intelligence race and announced its own multi-modal artificial intelligence model called "Chameleon". With this new model, Meta joins the artificial intelligence struggle between OpenAI and Google.

As the parent company of #Facebook , #WhatsApp and #Instagram , #Meta took an important step in the field of artificial intelligence and developed the Chameleon model. Multimodal AI models are viewed as more advanced versions of large language models, with their ability to process various forms of media such as texts, images, audio recordings, and videos.

The Chameleon team explained that the model consists of a set of "early fusion token-based hybrid models capable of understanding and rendering images and text in any arbitrary order." Since Meta's new model is built on an old fusion architecture, it can combine multiple inputs, unlike other systems.

To date, most AI models have treated data as separate entities in the early stages and then searched for and brought together these connections. This technique is called late fusion and has limitations regarding integration. To solve this problem, Meta designed their model based on early fusion architecture. This approach enables more holistic processing of data and makes the integration of various forms of media more effective.

Meta's Chameleon model aims to take one step forward in artificial intelligence technologies. Competing with giants such as OpenAI and Google, Meta aims to gain a stronger position in the field of artificial intelligence with this new model. Chameleon is considered an innovative step by Meta that is expected to play a significant role in AI research and applications.

Meta's new multi-modal artificial intelligence model Chameleon stands out with its capacity to process various media formats and early fusion architecture. This model reinforces Meta's goal of becoming a major player in the artificial intelligence race.

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PlanB expects a serious rise in Bitcoin according to its model. PlanB, who is among the most ambitious Bitcoin analysts by developing his own model among crypto analysts, claimed that the cryptocurrency could reach up to 500 thousand dollars in its current cycle. The analyst, who recently updated his own Stock-Flow model in his YouTube broadcast, said that he expected a strong fluctuation after the halving and predicted the closest target to be 100 thousand dollars. PlanB referenced previous cycles in the S2F model when interpreting Bitcoin price performance. Accordingly, the analyst, who predicted a rapid rise depending on the demand for Bitcoin after the halving, claimed that Bitcoin could reach up to 500 thousand dollars in the current cycle. The price level seen for the next cycle is $4 million. In addition, PlanB, which updated the model it uses for Bitcoin price prediction with the last 5 years of data, also claimed that the Stock-Flow model has become much more accurate and understandable in its current form. The analyst also points out that the RSI indicator has moved consistently with previous price predictions, and believes that this technical indicator will move the same way in the current cycle. While #PlanB supports its price prediction with the data that more than 90% of Bitcoin owners are in profit, it thinks that this data will be another factor that triggers the rise of the BTC price. When the current price movements of Bitcoin are checked, it is seen that the cryptocurrency price has not been able to remain permanent in the $ 70,000 range since last month. Finally, the cryptocurrency, which was sold once again at the $ 70,000 limit yesterday, continues to be traded in the narrow band of $ 67,000-70,000. $BTC $ETH
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