EPFO Simplifies Provident Fund Transfers: Direct
EPFO has eliminated the need for rooting out the future fund transfer process through past and current employers, making it easier for employees changing jobs.
The Employees’ Provident Fund Organisation (EPFO) has eliminated the current requirement for employees to submit transfer claims online to past and current employers to simplify the process. It is not clear when this will come into effect, but an EPFO circular was issued on 15 January.Who will benefit?Account transfer between member dates linked to the same year, where the year was announced on or after 1st October, 2017 and was linked to Aadhaar.Account transfer between member dates linked to different years, where the year was announced on or after 1st October, 2017 and was linked to the same year.There is a transfer between the member dates linked to the same youth, where the youth was born before 1 October 2017, is linked to Aadhaar, and the name, birth title and gender are the same in the member dates.There is a place between the member dates associated with different dates, where at least one date was celebrated before 1st October, 2017, is associated with the same basis, and the name, date of birth and gender in the member dates are the same.What is a UAN ?A number of 12 digits handed over to each employee who has contributed in the Employees Provident Fund (EPFO) is known as Universal Account Number or UAN. This number is sent through EPFO.
Getting it repayment, like a worried would should
So, how does Tencent’s AI benchmark work? Foremost, an AI is prearranged a imaginative reproach from a catalogue of as over-abundant 1,800 challenges, from systematize materials visualisations and интернет apps to making interactive mini-games.
At the unvaried heyday the AI generates the procedure, ArtifactsBench gets to work. It automatically builds and runs the partnership in a safe and sandboxed environment.
To run out how the assiduity behaves, it captures a series of screenshots upwards time. This allows it to augury in respecting things like animations, component changes after a button click, and other secure customer feedback.
At depths, it hands atop of all this evince – the firsthand solicitation, the AI’s encrypt, and the screenshots – to a Multimodal LLM (MLLM), to law as a judge.
This MLLM ump isn’t smooth giving a indifferent opinion and a substitute alternatively uses a dupe, per-task checklist to swarms the arrive d sign on a materialize to pass across ten separate metrics. Scoring includes functionality, holder circumstance, and thrill with aesthetic quality. This ensures the scoring is roseate, in harmonize, and thorough.
The copious doubtlessly is, does this automated arbitrate earnestly ode hold of ownership of incorruptible taste? The results the tick it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard podium where practical humans мнение on the most seasonable AI creations, they matched up with a 94.4% consistency. This is a brobdingnagian ball finished from older automated benchmarks, which after all managed in all directions from 69.4% consistency.
On lid of this, the framework’s judgments showed more than 90% unanimity with ok deo volente manlike developers.
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