Search results for "GORILLA"
00:51

Wormhole Foundation: FEGToken issue is unrelated to Wormhole

BlockBeats news, on December 31, the Wormhole Foundation stated on social media that the FEG Token issue has nothing to do with Wormhole. All Wormhole contracts are completely unaffected by this issue and are not related to it. Earlier, BlockBeats reported that on December 29, the multi-chain Decentralized Finance protocol FEG (Feed Every Gorilla) announced on platform X that FEGrox is actively investigating irregular transactions and has asked PeckShield to provide additional support to find the root cause. Preliminary investigations indicate that there may be a vulnerability in the Wormhole bridge, which has been audited before. It is also important to emphasize that the Smart Decentralized Finance contract code does not appear to have been compromised, Smart Decentralized Finance
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W-6.19%
FEG-10.18%
DEFI-4.5%
EVERY-1.97%
15:15
Musk posted a photo on the X platform to pay tribute to the DOGE prototype Shiba Inu KABOSU, saying, "OG Doge has gone to heaven and reunited with his fren Harambe." Note: Harambe is a 17-year-old male gorilla who was shot and killed in 2016 at the Cincinnati Zoo when a young boy fell into his enclosure. The incident sparked widespread controversy and public discussion, and Harambe became an important topic on social media and a symbol of online culture.
DOGE-6.02%
OG-3.53%
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03:18
According to a report from IT House on August 12, Microsoft Research recently joined forces with the University of California, Berkeley to develop a new large language model (LLM) called Gorilla, which is superior to GPT-4 in terms of accuracy and flexibility in API calls. . Gorilla LLM is said to use a technique called "retriever-aware training" to allow LLM to learn the semantics of API calls and generate semantically and grammatically correct text content. Microsoft Research said that even if the API documentation changes, the correct semantics and syntax can still be generated when calling the API. Although GPT-4 is the most powerful LLM developed by OpenAI, it can control various scenarios such as text generation, translation language, and answer content. However, the API call is its shortcoming. It cannot understand the semantics of API calls and can only generate and API documents. similar text. In a recent study, Gorilla outperformed GPT-4 on various API calling tasks. GPT-4 has an accuracy rate of 85% in API calls, while Gorilla's accuracy rate can reach 95%. In addition, Gorilla also has the skill that GPT-4 does not have, which can generate correct API calls for APIs without training data sets.
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