ພື້ນຖານຊັບສິນດິຈິຕອນ (ຊັບສິນດິຈິຕອນ) - TiTdoi (TiTdoi.com)


ນັກຄົ້ນຄວ້າພົບວ່າ LLMs ຄືຂໍ້ມູນທີ່ລະອຽດອ່ອນຂອງຜົນຜະລິດ ChatGPT ແມ່ນແຕ່ຫຼັງຈາກທີ່ມັນຖືກລຶບອອກ -  Researchers find LLMs like ChatGPT output sensitive data even after its been deleted

ນັກຄົ້ນຄວ້າພົບວ່າ LLMs ຄືຂໍ້ມູນທີ່ລະອຽດອ່ອນຂອງຜົນຜະລິດ ChatGPT ແມ່ນແຕ່ຫຼັງຈາກທີ່ມັນຖືກລຶບອອກ
(Researchers find LLMs like ChatGPT output sensitive data even after its been deleted)


Published: 2023-10-02


1. ນັກຄົ້ນຄ້ວາດ້ານສະຕິປັນຍາແບບArtificial ພັດທະນາຕົວຢ່າງ LLMS Chat-GPT ເພື່ອຮັບມືກັບຂໍ້ມູນທີ່ອ່ອນນ້ອມຫຼັງການລຶບ - ບົດຄວາມນີ້ເນັ້ນໃສ່ການພັດທະນາຕົວແບບ LLMS Chat-GPT ໂດຍນັກຄົ້ນຄວ້າArtificial Intelligence. - ຕົວແບບມີຈຸດປະສົງເພື່ອແກ້ໄຂບັນຫາການຈັດການຂໍ້ມູນທີ່ລະອຽດອ່ອນຫຼັງຈາກໄດ້ຖືກລຶບອອກແລ້ວ. - ດ້ວຍ LLMS Chat-GPT,ນັກຄົ້ນຄວ້າໄດ້ສ້າງວິທີແກ້ໄຂເພື່ອຮັບມືແລະຈັດການຂໍ້ມູນທີ່ລະອຽດອ່ອນຢ່າງປອດໄພ. - ຕົວ ແບບ ໃຊ້ ວິ ທີ ການ AI ທີ່ ກ້າວ ຫນ້າ ເພື່ອ ໃຫ້ ແນ່ ໃຈວ່ າ ຂໍ້ ມູນ ທີ່ ຖືກ ລຶບ ບໍ່ ສາ ມາດ ເຂົ້າ ເຖິງ ຫຼື ເກັບ ກໍາ ຂໍ້ ມູນ ໂດຍ ຜູ້ ໃຊ້ ທີ່ ບໍ່ ໄດ້ ຮັບ ອະ ນຸ ຍາດ. - ການພັດທະນານີ້ມີຄວາມອາດສາມາດທີ່ສໍາຄັນໃນການຮັບປະກັນຄວາມເປັນສ່ວນຕົວແລະຄວາມປອດໄພຂອງຂໍ້ມູນໃນໂດເມນຕ່າງໆ, ລວມທັງການເງິນ, ການປິ່ນປົວສຸຂະພາບ, ແລະ ນອກເຫນືອໄປຈາກ. - LLMS Chat-GPT ສະເຫນີວິທີແກ້ໄຂທີ່ຫນ້າເຊື່ອຫມັ້ນຕໍ່ສິ່ງທ້າທາຍທີ່ຕິດພັນກັບການຈັດການຂໍ້ມູນທີ່ອ່ອນໄຫວໃນໂລກດິຈິຕອນທີ່ນັບມື້ນັບເພີ່ມຂຶ້ນ.

2. ຄວາມສໍາຄັນຂອງ LLMS Chat-GPT ໃນຂົງເຂດແນວລາວສ້າງຊາດ - ການພັດທະນາຕົວແບບ LLMS Chat-GPT ເປັນຕົວແທນຄວາມກ້າວຫນ້າທີ່ສໍາຄັນໃນຂົງເຂດແນວລາວສ້າງຊາດ. - LLMS Chat-GPT ສະແດງເຖິງຄວາມສາມາດຂອງ AI ໃນການແກ້ໄຂຄວາມເປັນສ່ວນຕົວຂອງຂໍ້ມູນທີ່ສະຫຼັບຊັບຊ້ອນແລະຄວາມກັງວົນດ້ານຄວາມປອດໄພ. - ຄວາມສາມາດຂອງຕົວແບບໃນການຈັດການກັບຂໍ້ມູນທີ່ລະອຽດອ່ອນຫຼັງຈາກຖືກລຶບອອກສະແດງໃຫ້ເຫັນເຖິງອໍານາດຂອງ AI ໃນການຫຼຸດຜ່ອນຄວາມສ່ຽງທີ່ຕິດພັນກັບການລະເມີດຂໍ້ມູນ. - LLMS Chat-GPT ເປີດປະຕູສໍາລັບການຄົ້ນຄວ້າແລະການປະດິດສ້າງໃນອະນາຄົດໃນdomain ຂອງການຄຸ້ມຄອງຂໍ້ມູນທີ່ປອດໄພໂດຍໃຊ້ເຕັກນິກ AI. - ເມື່ອໂລກເພິ່ງລະບົບ AI ຫຼາຍຂຶ້ນ, LLMS Chat-GPT ສະແດງໃຫ້ເຫັນເຖິງຄວາມສໍາຄັນຂອງການແກ້ໄຂຄວາມກັງວົນຄວາມເປັນສ່ວນຕົວຂອງຂໍ້ມູນຢ່າງມີປະສິດທິພາບ.

3. ຄວາມຫມາຍຂອງ LLMS Chat-GPT ສໍາລັບອຸດສາຫະກໍາແລະສັງຄົມ - ການພັດທະນາຂອງ LLMS Chat-GPT ມີຜົນກະທົບຢ່າງກວ້າງຂວາງສໍາລັບອຸດສາຫະກໍາແລະສັງຄົມໂດຍລວມ. - ອຸດສາຫະກໍາທີ່ພົວພັນກັບຂໍ້ມູນທີ່ມີຄວາມລະອຽດອ່ອນ ເຊັ່ນ: ການເງິນ, ການປິ່ນປົວສຸຂະພາບ ແລະ ຫນ່ວຍງານຂອງລັດຖະບານ ສາມາດໄດ້ຮັບຜົນປະໂຫຍດຢ່າງຫຼວງຫຼາຍຈາກ LLMS Chat-GPT. - ຕົວແບບສາມາດປະຕິຮູບວິທີຈັດການແລະປົກປ້ອງຂໍ້ມູນທີ່ລະອຽດອ່ອນ, ຫຼຸດຜ່ອນຄວາມສ່ຽງຂອງການລະເມີດຂໍ້ມູນ. - LLMS Chat-GPT ໃຫ້ໂອກາດສ້າງໂປຣແກຣມທີ່ມີຄວາມປອດໄພ ແລະ ມີຈຸດສຸມຄວາມເປັນສ່ວນຕົວທີ່ປົກປ້ອງຂໍ້ມູນຂອງຜູ້ໃຊ້ແມ່ນແຕ່ຫຼັງຈາກລຶບ. - ໂດຍການເພີ່ມຄວາມເປັນສ່ວນຕົວແລະຄວາມປອດໄພຂອງຂໍ້ມູນ, LLMS Chat-GPT ຊ່ວຍສ້າງຄວາມໄວ້ວາງໃຈໃນລະບົບ AI ແລະສົ່ງເສີມການຮັບເອົາຢ່າງກວ້າງຂວາງໃນຂົງເຂດຕ່າງໆ.. .


1. Artificial Intelligence researchers develop LLMS Chat-GPT model to handle sensitive data post-deletion - The article focuses on the development of the LLMS Chat-GPT model by Artificial Intelligence researchers. - The model aims to address the issue of handling sensitive data after it has been deleted. - With LLMS Chat-GPT,researchers have created a solution to securely handle and manage sensitive information. - The model utilizes advanced AI algorithms to ensure that deleted data cannot be accessed or retrieved by unauthorized users. - This development holds significant potential for ensuring data privacy and security in various domains,including finance,healthcare,and beyond. - LLMS Chat-GPT offers a promising solution to the challenges associated with managing sensitive data in an increasingly digital world.

2. Significance of LLMS Chat-GPT in the field of Artificial Intelligence - The development of the LLMS Chat-GPT model represents a significant advancement in the field of Artificial Intelligence. - LLMS Chat-GPT showcases the potential of AI in addressing complex data privacy and security concerns. - The model's ability to handle sensitive data after it has been deleted demonstrates the power of AI in mitigating risks associated with data breaches. - LLMS Chat-GPT opens the door for future research and innovation in the domain of secure data management using AI techniques. - As the world becomes more reliant on AI systems,LLMS Chat-GPT showcases the importance of addressing data privacy concerns proactively.

3. Implications of LLMS Chat-GPT for industries and society - The development of LLMS Chat-GPT has wide-ranging implications for industries and society as a whole. - Industries dealing with sensitive data,such as finance,healthcare,and government agencies,can greatly benefit from LLMS Chat-GPT. - The model could revolutionize the way organizations handle and protect sensitive information,reducing the risk of data breaches. - LLMS Chat-GPT provides an opportunity to build secure and privacy-focused applications that protect user data even after deletion. - By enhancing data privacy and security,LLMS Chat-GPT helps to build trust in AI systems and fosters more widespread adoption across various sectors.


Reference: cointelegraph.com

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3 ETH title=ETH 2,977.08 872,224,550.38
4 PEPE title=PEPE <0.01 766,185,986.17
5 SOL title=SOL 152.11 578,559,384.51
6 FLOKI title=FLOKI <0.01 272,458,258.36
7 WIF title=WIF 2.94 252,003,861.90
8 DOGE title=DOGE 0.15 238,002,417.91
9 BOME title=BOME 0.01 189,115,641.62
10 XRP title=XRP 0.51 158,401,380.70
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12 ENA title=ENA 0.72 147,923,340.19
13 RNDR title=RNDR 10.81 137,881,970.49
14 PEOPLE title=PEOPLE 0.05 135,016,988.26
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24 ICP title=ICP 12.21 42,435,233.08
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23 NEAR Protocol title=NEAR 7.66 +8.24
24 DeXe title=DEXE 12.76 +8.23
25 Vanar Chain title=VANRY 0.18 +8.22
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6 Manchester City Fan Token title=CITY 3.18 -5.00
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8 ARK title=ARK 0.80 -1.93
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10 Lido DAO title=LDO 1.64 -1.08
11 Amp title=AMP <0.01 -1.05
12 SafePal title=SFP 0.81 -0.76
13 Neutron title=NTRN 0.64 -0.22
14 Sun Token title=SUN 0.01 -0.19
15 MANTRA title=OM 0.71 -0.13
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45 ການຮັບເອົາBlockchain ໃນການປິ່ນປົວສຸຂະພາບ ປະເຊີນກັບອຸປະສັກຮ້າຍແຮງ ໃນເຢຍຣະມັນ
(Blockchain adoption in healthcare faces serious obstacles in Germany)
2024-05-13
46 Bitcoin ແລກປ່ຽນທາງຂ້າງໃນຂະນະທີ່ TON RNDR PEPE ແລະ AR ປ້າຍ bullish flash
(Bitcoin trades sideways while TON RNDR PEPE and AR flash bullish signs)
2024-05-13
47 ກະ ເປົາ ປາວານ Bitcoin ເຄື່ອນ ຍ້າຍ 61M ໃນ BTC ຫຼັງ ຈາກ ສິບ ປີ ຂອງ ການ ນອນ
(Bitcoin whale wallets move 61M in BTC after a decade of dormancy)
2024-05-13
48 ພວກ ແຮັກ ເກີ ເກົາຫລີ ເຫນືອ ໄດ້ ໃຊ້ malware Durian ແນ ເປົ້າ ຫມາຍ ໃສ່ ບໍລິສັດ crypto
(North Korean hackers deploy Durian malware targeting crypto firms)
2024-05-13
49 Bitcoin ເຮັດ ຊ້ໍາ ປະ ຫວັດ ສາດ ປີ 2016 ຢ່າງ ສົມ ບູນ ທ່າມກາງ ການ ຄາດ ຄະ ເນ ລາຄາ 350K Traders
(Bitcoin repeats 2016 history perfectly amid 350K price prediction Traders)
2024-05-12
50 ແມ່ນຕະຫຼາດ altcoin ທີ່ວາງໄວ້ສໍາລັບການຊຸມນຸມລະເບີດທີ່ນັກວິເຄາະໄດ້ເບິ່ງ 3 ຕົວຊີ້ວັດເຫຼົ່ານີ້
(Is the altcoin market set for an explosive rally Analysts eye these 3 indicators)
2024-05-12

ຂ່າວສະຫະລັດ ທີ່ມີຜົນກະທົບຢ່າງຫຼວງຫຼາຍຕໍ່ຕະຫຼາດ

ທີ່ ຂ່າວ ມື້ ວັນທີ ເວລາ
1 ບົດລາຍງານດັດຊະນີລາຄາຜູ້ບໍລິໂພກຫຼັກ (Core CPI m/m) ວັນພຸດ (Wed) 15-05-2024 19:30
2 ບົດລາຍງານການຂາຍຍ່ອຍພື້ນຖານປະຈໍາເດືອນ (Core Retail Sales m/m) ວັນພຸດ (Wed) 15-05-2024 19:30
3 ບົດລາຍງານດັດຊະນີລາຄາຜູ້ບໍລິໂພກພື້ນຖານປະຈໍາເດືອນ (CPI m/m) ວັນພຸດ (Wed) 15-05-2024 19:30
4 ບົດລາຍງານດັດຊະນີລາຄາຜູ້ບໍລິໂພກຫຼັກປະຈໍາປີ (CPI y/y) ວັນພຸດ (Wed) 15-05-2024 19:30
5 ດັດຊະນີການຜະລິດຂອງລັດນິວຢອກ (Empire State Manufacturing Index) ວັນພຸດ (Wed) 15-05-2024 19:30
6 ດັດຊະນີການຂາຍຂາຍຍ່ອຍຫຼັກ ແລະ ດັດຊະນີການຂາຍຂາຍຍ່ອຍປະຈໍາເດືອນ (Retail Sales m/m) ວັນພຸດ (Wed) 15-05-2024 19:30
7 ບົດລາຍງານທຸລະກິດສາງປະຈໍາເດືອນ (Business Inventories m/m) ວັນພຸດ (Wed) 15-05-2024 21:00
8 ບົດລາຍງານດັດຊະນີຕະຫຼາດທີ່ຢູ່ອາໄສ (NAHB Housing Market Index) ວັນພຸດ (Wed) 15-05-2024 21:00
9 ລາຍງານຄ່າເລີ່ມຕົ້ນຂອງໜີ້ສິນຈໍານອງອະສັງຫາລິມະສັບ. (Mortgage Delinquencies) ວັນພຸດ (Wed) 15-05-2024 21:10
10 ບົດ​ລາຍ​ງານ​ການ​ບັນ​ທຶກ​ນ​້​ໍາ​ມັນ​ດິບ​ (Crude Oil Inventories) ວັນພຸດ (Wed) 15-05-2024 21:30
11 ຖະແຫຼງການຂອງສະມາຊິກ Fed (Bowman). (FOMC Member Bowman Speaks) ວັນພະຫັດ (Thur) 16-05-2024 02:20
12 ການ​ລົງ​ທຶນ​ໄດ້​ໄຫຼ​ອອກ​ໄປ​ຕ່າງ​ປະ​ເທດ​ແລະ​ນອກ​ສະ​ຫະ​ລັດ​ອາ​ເມລິ​ກາ​ (TIC Long-Term Purchases) ວັນພະຫັດ (Thur) 16-05-2024 03:00
13 ຕົວເລກການຫວ່າງງານຂອງສະຫະລັດ (Unemployment Claims) ວັນພະຫັດ (Thur) 16-05-2024 19:30
14 ບົດລາຍງານການອະນຸຍາດປຸກສ້າງເຮືອນ (Building Permits) ວັນພະຫັດ (Thur) 16-05-2024 19:30
15 ບົດລາຍງານດັດຊະນີການຜະລິດສະຫງວນຂອງ Philadelphia Federal Reserve (Philly Fed Manufacturing Index) ວັນພະຫັດ (Thur) 16-05-2024 19:30
16 ບົດລາຍງານກ່ຽວກັບຈໍານວນທີ່ຢູ່ອາໄສເລີ່ມກໍ່ສ້າງ. (Housing Starts) ວັນພະຫັດ (Thur) 16-05-2024 19:30
17 ບົດລາຍງານດັດຊະນີລາຄານໍາເຂົ້າປະຈໍາເດືອນ (Import Prices m/m) ວັນພະຫັດ (Thur) 16-05-2024 19:30
18 ບົດ​ລາຍ​ງານ​ການ​ຜະ​ລິດ​ອຸດ​ສາ​ຫະ​ກໍາ​ (Industrial Production m/m) ວັນພະຫັດ (Thur) 16-05-2024 20:15
19 ອັດ​ຕາ​ການ​ນໍາ​ໃຊ້​ (Capacity Utilization Rate) ວັນພະຫັດ (Thur) 16-05-2024 20:15
20 ຖະແຫຼງການສະມາຊິກ Fed (Barr). (FOMC Member Barr Speaks) ວັນພະຫັດ (Thur) 16-05-2024 21:00
21 ບົດລາຍງານການສະຫງວນອາຍແກັສທໍາມະຊາດ (Natural Gas Storage) ວັນພະຫັດ (Thur) 16-05-2024 21:30
22 ຖະແຫຼງການຂອງສະມາຊິກ FED (Loretta J. Mester). (FOMC Member Mester Speaks) ວັນພະຫັດ (Thur) 16-05-2024 23:00
23 FOMC Member Bostic Speaks (FOMC Member Bostic Speaks) ວັນ​ສຸກ (Fri) 17-05-2024 02:50
24 ບົດລາຍງານດັດສະນີດ້ານເສດຖະກິດປະຈໍາເດືອນ (CB Leading Index m/m) ວັນ​ສຸກ (Fri) 17-05-2024 21:00
25 ຖະແຫຼງການຂອງສະມາຊິກ FED (Christopher J. Waller). (FOMC Member Waller Speaks) ວັນ​ສຸກ (Fri) 17-05-2024 21:15
26 FOMC Member Daly Speaks (FOMC Member Daly Speaks) ວັນ​ສຸກ (Fri) 17-05-2024 23:15
27 FOMC Member Kugler Speaks (FOMC Member Kugler Speaks) ອາທິດ (Sun) 19-05-2024 04:45

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