{
"version": 5,
"timestamp": 1741355730462,
"reference": "6fYgEZu2wBAXyfjWYh51uQGf99dypCkEJ2Noh5AusrXj",
"nxt-consensus": {
"base-target": 194,
"generation-signature": "XhkyjSkqiDvi4TvydS3bYLEtFZDP6LwiL2VwDEoJjzmrnS75Rwfh4qRpURMjET4gfcpJNo9JRNAW7JWf8KjpxKjRCQUoJAWWv7uZ3UKdihCyegdfrPw7EWmXLZZ3eQj9NtA"
},
"transactionsRoot": "7ZysufQd1ztZQdGs8pAQd5zTZ1dtyZa8LYQEbvfQ7gwr",
"id": "Fr51q9bm3oXwCbzSTsTHMJPcFm19v97anr5H9nYmesT9",
"features": [],
"desiredReward": 700000000,
"generator": "3MsiqWCW2b42CiCpz9mjYXXJPZ1YN4bBsex",
"generatorPublicKey": "FFHRSQ3eExEUrgLoUUKNEhFDavm3DQG658WT3FkxEfh9",
"stateHash": "4DdCc3ZzXGzMVt3hBP4SDTs61d7nti9brroJUwBYzYYp",
"signature": "2smPzw7jmnQ81TSFXr8rQkdjS7gFejLE5NzPRMhsPaq1rz7xQUnBg7mAiTfwTWhyaQRqN4JjGcdxSwnUDJa8YdUv",
"blocksize": 14182,
"transactionCount": 33,
"totalFee": 16500000,
"reward": 600000000,
"rewardShares": {
"3MsiqWCW2b42CiCpz9mjYXXJPZ1YN4bBsex": 200000000,
"3Myb6G8DkdBb8YcZzhrky65HrmiNuac3kvS": 200000000,
"3N13KQpdY3UU7JkWUBD9kN7t7xuUgeyYMTT": 200000000
},
"VRF": "J8myk489n4KohruEnQDrwPEDXk99td85wHNhbdXKF1uk",
"fee": 12500000,
"previous": "3533681",
"height": "3533682",
"next": "3533683",
"transactions": [
{
"type": 16,
"id": "2EkKwJS4PMvMNJEEAi7hxRYkfkvgCzmF8HAvFwNYQ55h",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355734416,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"3iGKZLy8eQjkdyJXtkBCNPQaWJko68oN1FoTzADg15NHzLWRj5R2fEUeKZrkRtwjHjFdr4CtQsDK5YzRpMnEzfs8"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "finalizeVoting",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "4K9PjrtsftafzvPxRkRgifM5v1hGhK4scnMVRkrNLx46",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355734428,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"4vwuNpn5QoAJZpp3SWzn4ZLsLtbt3kTsLtSyLvQWedW7pknbtrj44eusBxSd1nyk2L2JKnirfGfZTTbKcWxSVPq8"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "finalizeVoting",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "7gqACgKJzzzE2NgzNxjh7DBqXioz46d7mxh3FCqAQ2hp",
"fee": 10,
"feeAssetId": "97KVUyuXxzLoD4kqvCWnrQyT9akWcPsC3HXRzSEARW3M",
"timestamp": 1741355736689,
"version": 2,
"chainId": 84,
"sender": "3N7XWpdx1UJKZp5stTtFMXPEygyfZ7j4PyC",
"senderPublicKey": "APsCCjsKHFx7rbr1mG8Pca43pccTbH2G4FZj4keEqKJ5",
"proofs": [
"62Fkkt5a1azry9DoiZEoAjUfEwQs4DaapvmbY722wS44aB5ea3xozbxza5Zio5hcAVhupJr6SYBQSx4bBDx7H6cc"
],
"dApp": "3Msx4Aq69zWUKy4d1wyKnQ4ofzEDAfv5Ngf",
"payment": [],
"call": {
"function": "extendMainChain",
"args": [
{
"type": "string",
"value": "2131c98261bdba6279260f9ffba3ab8604a700c5add1310611f078f41e6eec52"
},
{
"type": "string",
"value": "8d8bb680970920862fcfb0da841f40820d494066ad8b6e0b52bedce7dfa294a5"
},
{
"type": "binary",
"value": "base64:/pSZvfuY4vmXuyJ2m1HNHSDljq9aqXxSRjJURyvGLgM="
},
{
"type": "string",
"value": ""
},
{
"type": "integer",
"value": 89
}
]
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "9J1GzXqvh1xSFvQbpZDidTQLsLYboUwQwvUco563qFce",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355744446,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"QqRbW1qEozyWRkBiF4xmnp2DY1FiAoP9meUGWGAMR7FkAzXXz7Jt5JAF7NbCuQrHRntfUoXnzMNUyznBZjpLVcA"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "finalizeVoting",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "DTSQRzouFBfqe2vqFbqTmfjX4WCduh1hsuYnAc58zQtB",
"fee": 10,
"feeAssetId": "97KVUyuXxzLoD4kqvCWnrQyT9akWcPsC3HXRzSEARW3M",
"timestamp": 1741355742734,
"version": 2,
"chainId": 84,
"sender": "3N7XWpdx1UJKZp5stTtFMXPEygyfZ7j4PyC",
"senderPublicKey": "APsCCjsKHFx7rbr1mG8Pca43pccTbH2G4FZj4keEqKJ5",
"proofs": [
"3uFK3sMZN3td54uXfQ62oaRG3ct8Dom6hd1mxTvFFsy8uPevcKtVefKnw7QwRyBSGvN1gvBgYRfZqzxS3ZJ314bi"
],
"dApp": "3Msx4Aq69zWUKy4d1wyKnQ4ofzEDAfv5Ngf",
"payment": [],
"call": {
"function": "appendBlock",
"args": [
{
"type": "string",
"value": "cd936412993e77ae1a5c47a557ab001fb9a8f0f2e9450468931d589e00bdfdf5"
},
{
"type": "string",
"value": "2131c98261bdba6279260f9ffba3ab8604a700c5add1310611f078f41e6eec52"
},
{
"type": "string",
"value": ""
},
{
"type": "integer",
"value": 89
}
]
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "HMizJu4MxS6QC7C62gCPsfShjVXFBnezvoT9HeWVGtz9",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355747098,
"version": 2,
"chainId": 84,
"sender": "3NAAoJ554QsZfqE8W8Rg8LsJb79d5b1pDat",
"senderPublicKey": "Ct2djqZsAz77Ur5Y9pMbgrJR2xn6hDprcsHUYgLfsdkY",
"proofs": [
"31xjb2miEnsPpadQurZ4meJKJdxz8FuDimEKVFNn237NcTHXHrQ2Av8gST4W413KmiwvtChG4Jei6Q58jsbY4UJy"
],
"dApp": "3N9tKixzqTYWnEXQxrDQ5pBTGvQd6sFsvmV",
"payment": [],
"call": {
"function": "commitTask",
"args": [
{
"type": "string",
"value": "75AdkKHfGc7gyGTadzjuujrdsEfGujhAQXQ1yYuB9XWU_AqqtiUWzxuW2sGQZiUBdYgDuY9J9GaL327FdWiEuh6qc"
},
{
"type": "string",
"value": "Large Language Models (LLMs) are a type of artificial intelligence model that has gained significant prominence in the field of natural language processing (NLP). These models are characterized by their ability to generate human-like text and responses based on the input they receive, making them incredibly versatile in a wide range of applications. LLMs are typically trained on vast amounts of text data to understand the relationships between words and phrases, enabling them to generate coherent and contextually relevant responses.\n\nOne of the key innovations that have driven the development of LLMs is the transformer architecture, which allows for more efficient and effective modeling of long-range dependencies in language. By utilizing self-attention mechanisms, transformers can capture complex patterns and relationships within text data, leading to improved performance in tasks such as language translation, text generation, and sentiment analysis.\n\nLLMs have been trained on massive datasets, often consisting of billions of words, to learn the nuances and subtleties of human language. This extensive training enables LLMs to generate text that is more contextually appropriate and coherent compared to earlier models. By fine-tuning these pre-trained models on specific datasets or tasks, researchers and developers can adapt LLMs to different applications, such as chatbots, language translation, summarization, and more.\n\nHowever, while LLMs have shown remarkable capabilities in natural language understanding and generation, they also raise ethical and societal concerns. One major issue is the potential for bias in language models, as they may inadvertently perpetuate stereotypes or reflect existing societal prejudices present in the training data. Ensuring the fairness, transparency, and accountability of LLMs is crucial to mitigate these risks and promote ethical AI development.\n\nIn conclusion, Large Language Models represent a significant advancement in the field of artificial intelligence and natural language processing. By leveraging sophisticated architectures and massive datasets, LLMs have the potential to revolutionize various applications, from chatbots to content generation. It is essential for researchers, developers, and policymakers to address the challenges posed by LLMs and harness their capabilities responsibly for the benefit of society."
}
]
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "TtStVWYYcb4koXkaokWwkJga37m1zaPhRb5ueuRRANi",
"fee": 10,
"feeAssetId": "97KVUyuXxzLoD4kqvCWnrQyT9akWcPsC3HXRzSEARW3M",
"timestamp": 1741355748800,
"version": 2,
"chainId": 84,
"sender": "3N7XWpdx1UJKZp5stTtFMXPEygyfZ7j4PyC",
"senderPublicKey": "APsCCjsKHFx7rbr1mG8Pca43pccTbH2G4FZj4keEqKJ5",
"proofs": [
"4HrC6Dz6jrD1HndZ6iRkP813QzKBwTo92KuRARcj3AFdwxCiXMq9Uozpy37BSVrgvwE98vcGF3Vgz29a7yNhNoH2"
],
"dApp": "3Msx4Aq69zWUKy4d1wyKnQ4ofzEDAfv5Ngf",
"payment": [],
"call": {
"function": "appendBlock",
"args": [
{
"type": "string",
"value": "35ca86e14d31948899083197c3054b0f93aad31fcaa701a5326f0a48ddddaaa6"
},
{
"type": "string",
"value": "cd936412993e77ae1a5c47a557ab001fb9a8f0f2e9450468931d589e00bdfdf5"
},
{
"type": "string",
"value": ""
},
{
"type": "integer",
"value": 89
}
]
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "4LHn662wWyAV7QGTXUkjMKpSP5DkDdHoezkjDHsXkoPu",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355755505,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"4H9VjFV4QVFZTcqHYL2FTUJstGudYZUptAebNg2CgLnbQtMdUnFWFjYBFofkopgWcoGob5bUS2Wxjgj1vk5ypM3i"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "transferVotes",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "EmdYnRTVRVozyKmh9pj6NFFt8mg695TKDy3BeTWj69KN",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355755526,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"2NhWToLPksKEGF32fQf9odKC3msE3kLXXznhE7VLgczQ9Ks5SHaxh7CAMU3RHafJdERte9cdpgZFEoSoWm8Ea67S"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "transferVotes",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "FZZc1okMjiDuCC3nBByfANaxF6tPytWtVeGqXZpA3hMB",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355760596,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"54LGs1Lhj7SjfsbexSBh2JooHthTMz78rfiqgbFNhoeJETx1c3yqbjiYiKEvQgUAa7M8wkkNbJgcBTXG7Nfz3Lx4"
],
"dApp": "3N98Ngyaszw66EakvWRCiZ771ja2RDgNaxV",
"payment": [],
"call": {
"function": "finalize",
"args": [
{
"type": "string",
"value": "A7Ksh7fXyqm1KhKAiK3bAB2aiPSitQQF6v1pyu9SS3FR"
}
]
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "ApY3BCVPxaasJbobfwE2YwtQrjB4qEW7gj9JrrjcBnDh",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355765547,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"4an74YuRLKv4pQNinCzpxkWPDgP5EsYWMLntwhfaTqPrHsK8N2kk8cPDtVuvqmq7PRwZ8SQUN7XxQuR6336F35tQ"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "transferVotes",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "EwZL76myZtmzcFV43szBCfVsyQYMoqudbeCirwUQvequ",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355765561,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"3D78fp7ftTzWwFfbfF3SDjcCeBJwjkRCboQ27PWr9eNpQX18J6DXMD5GeCj6R7ooJsxVtKsRXYhSR3kC2FGw3Sa2"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "transferVotes",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "9TJSV8fn5B7FLbUjAzzoYAiqCk9gaa9AeiZgHXL31FXH",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355764650,
"version": 2,
"chainId": 84,
"sender": "3N5qcEiKJBDwpVZgCeJP814xDbE54ZG4LHo",
"senderPublicKey": "AqqtiUWzxuW2sGQZiUBdYgDuY9J9GaL327FdWiEuh6qc",
"proofs": [
"2RnkegamXJJVRE7kNpsv4zwSnzNjfzc8hNAy1HPFw9P85wHWNSjJhArAuXjhkzNq7DivaJbcmp5o4xnnqWg4uegE"
],
"dApp": "3N9tKixzqTYWnEXQxrDQ5pBTGvQd6sFsvmV",
"payment": [
{
"amount": 10000000,
"assetId": "AxGKQRxKo4F2EbhrRq6N2tdLsxtMnpzQsS4QemV6V1W1"
}
],
"call": {
"function": "registerTask",
"args": [
{
"type": "string",
"value": "Provide a comprehensive and in-depth explanation of Large Language Models (LLMs)."
},
{
"type": "string",
"value": "chatgpt"
}
]
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "8NcoVX5MzqGbPsDCYbPq5uvhVtb5sB5R8dC21QaZyZ4B",
"fee": 10,
"feeAssetId": "97KVUyuXxzLoD4kqvCWnrQyT9akWcPsC3HXRzSEARW3M",
"timestamp": 1741355761209,
"version": 2,
"chainId": 84,
"sender": "3N7XWpdx1UJKZp5stTtFMXPEygyfZ7j4PyC",
"senderPublicKey": "APsCCjsKHFx7rbr1mG8Pca43pccTbH2G4FZj4keEqKJ5",
"proofs": [
"4NymervksSeLQZGWj2XkJXDTinSL9VcZiEhejHEbL3ifY3e5uu2c8sXX5m1CfF7M7oALJn46AdYuy3pqY639H66y"
],
"dApp": "3Msx4Aq69zWUKy4d1wyKnQ4ofzEDAfv5Ngf",
"payment": [],
"call": {
"function": "appendBlock",
"args": [
{
"type": "string",
"value": "79306f4e163984df0d7864ca12fa4214144cb247febb28e9f84eb972fd286b9f"
},
{
"type": "string",
"value": "35ca86e14d31948899083197c3054b0f93aad31fcaa701a5326f0a48ddddaaa6"
},
{
"type": "string",
"value": ""
},
{
"type": "integer",
"value": 89
}
]
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "HJYLcZJx6Vh5hQriS7kRdipSA7VhhX9kQ3R1BCbedPrH",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355775585,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"5zmsS8esQPPhxPSMkWXwfQUMofZJ2kWQqmq52CBr6k8gowesYVzdpnMMj2sxACo3THJUym8FPSYpmoQkMQvncejh"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "transferVotes",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "EQTrW62DPjFBt1JbKniFbshoqj2EAuiTm2aYbt3dD3cD",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355775610,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"5Ad7KrHNMgEErhUeuyqMxYTqpp2UkEGkFpjGB33yLvfSf8ZfdtjXzdxF2mmQAf68RH4YohxNwaAMnGcAhS7qKDa7"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "transferVotes",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "2UhvE2qXfphNHJEjJvScJkaySqEJjxVb2phao3y6Xdsq",
"fee": 10,
"feeAssetId": "97KVUyuXxzLoD4kqvCWnrQyT9akWcPsC3HXRzSEARW3M",
"timestamp": 1741355772281,
"version": 2,
"chainId": 84,
"sender": "3N7XWpdx1UJKZp5stTtFMXPEygyfZ7j4PyC",
"senderPublicKey": "APsCCjsKHFx7rbr1mG8Pca43pccTbH2G4FZj4keEqKJ5",
"proofs": [
"DFEjmFrXCd34C93sW2bVPb4wh3RZJTRpYDvPgjNcbpWSb9m8oMCBbhZM1ucAmYnXt5p2oSeCcNyoBX3TUN9L3Zh"
],
"dApp": "3Msx4Aq69zWUKy4d1wyKnQ4ofzEDAfv5Ngf",
"payment": [],
"call": {
"function": "appendBlock",
"args": [
{
"type": "string",
"value": "80dac74f58e4cfbbb2f62d6fbc275147f6e301c6c61da345c59ea4c0d5a885ce"
},
{
"type": "string",
"value": "79306f4e163984df0d7864ca12fa4214144cb247febb28e9f84eb972fd286b9f"
},
{
"type": "string",
"value": ""
},
{
"type": "integer",
"value": 89
}
]
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "Be2KAmmBzEFfvHkg4xiFUGE99cqMbWo34XaEbtE1acHK",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355780267,
"version": 2,
"chainId": 84,
"sender": "3NAAoJ554QsZfqE8W8Rg8LsJb79d5b1pDat",
"senderPublicKey": "Ct2djqZsAz77Ur5Y9pMbgrJR2xn6hDprcsHUYgLfsdkY",
"proofs": [
"4fqp8SZ9j3rVd8MASKMQ3qwGHV5m22xGrADqFKpz8sKCkqN67RChRd5dfGxhHkZ8gynewEhLwSnepr1i13TLK8nL"
],
"dApp": "3N9tKixzqTYWnEXQxrDQ5pBTGvQd6sFsvmV",
"payment": [],
"call": {
"function": "checkoutTask",
"args": [
{
"type": "string",
"value": "9TJSV8fn5B7FLbUjAzzoYAiqCk9gaa9AeiZgHXL31FXH_AqqtiUWzxuW2sGQZiUBdYgDuY9J9GaL327FdWiEuh6qc"
},
{
"type": "string",
"value": "chatgpt"
}
]
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "ARSjwpe2YGoSPu9Bo7xArVZmvAaCaY2jt3kqKQ1ph3Uu",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355785637,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"3jsQj8S1hSJf5zgKZB2GH2akQDuRaifQS8CrwxjjBjPz5boc387E37sTjeaF4HS8um6V96PQxya2Cq5pB6knDzUK"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "transferVotes",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "DUjnHNQFUGNFQUacZVkUhp4Y6uwhEsnAZsWnGqT55YMw",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355785651,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"5bmMP2jDXKpcByA6aBiL2J1ntqgJPrEV7xtyvJu19GEgpkLR1f6Rk6pD8BPHebFJQGgz4EsbVewc7C6YW7axvwEb"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "transferVotes",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "4NUK69NGEnxVLPH2fR9j5WwzmzX3qvE2DZEKY4AnhWTX",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355795669,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"6HSwTVcwtTwvjCeQ2e86GkEcznjpjSWWUrXythK6hfmGpdEwN2Q7sTZtgU5t3nuNL9oWN4XB4NiK1BGWN4Sqz6p"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "transferVotes",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "H57ecURSZ1iCq2B8qVEzig1bj1UdXtCcTutUiLjrtv7C",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355795687,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"5yr3g4Dgf6BhNq4m51yAhfE46rL1syKHUcBZEpAxScTdiXGUBkPGg6kd6C8mSBybN71M4gxJCHmg6YkfGYEaCVkz"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "transferVotes",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "6n556tRzhPMXeT1zZg9UJWbKytREkC1HX2vZ8GZMcBp2",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355801555,
"version": 2,
"chainId": 84,
"sender": "3NAAoJ554QsZfqE8W8Rg8LsJb79d5b1pDat",
"senderPublicKey": "Ct2djqZsAz77Ur5Y9pMbgrJR2xn6hDprcsHUYgLfsdkY",
"proofs": [
"3ESuTnVkHYJgaRw1kAjvpe7sC27fnji4BtXuaMf47UUoXwjjZ8ARdHYgXGYNxwLUiTV4dQr7ax1Gz5kLPxf4jwUD"
],
"dApp": "3N9tKixzqTYWnEXQxrDQ5pBTGvQd6sFsvmV",
"payment": [],
"call": {
"function": "commitTask",
"args": [
{
"type": "string",
"value": "9TJSV8fn5B7FLbUjAzzoYAiqCk9gaa9AeiZgHXL31FXH_AqqtiUWzxuW2sGQZiUBdYgDuY9J9GaL327FdWiEuh6qc"
},
{
"type": "string",
"value": "Large Language Models (LLMs) are a class of artificial intelligence models that have gained widespread attention in recent years due to their remarkable ability to generate human-like text, understand language, and perform a variety of natural language processing tasks. These models are characterized by their sheer size in terms of parameters and computational complexity, which enable them to process massive amounts of text data and learn complex patterns and relationships within language.\n\nThe most prominent examples of Large Language Models include OpenAI's GPT (Generative Pre-trained Transformer) series, such as GPT-2 and GPT-3, as well as models like BERT (Bidirectional Encoder Representations from Transformers) developed by Google. These models are typically built using transformer architecture, a type of deep learning model that excels in capturing long-range dependencies in sequences, making them well-suited for tasks like text generation and understanding.\n\nHere are some key features and aspects of Large Language Models:\n\n1. **Scale**: LLMs are characterized by their massive scale, typically comprising tens to hundreds of billions of parameters. This enables them to learn complex patterns in language by processing vast amounts of text data, which is crucial for tasks like text generation, translation, summarization, and question-answering.\n\n2. **Pre-training and Fine-tuning**: LLMs are often pre-trained on large corpora of text data using unsupervised learning techniques. During pre-training, the model learns to predict the next word in a sequence given the context of previous words. This process helps the model develop a strong understanding of language structure and semantics. After pre-training, the model can be fine-tuned on specific downstream tasks, such as sentiment analysis or language translation, to adapt its knowledge to new domains.\n\n3. **Attention Mechanism**: LLMs often rely on attention mechanisms, particularly the self-attention mechanism in transformer models, to capture dependencies between words in a sequence. This mechanism allows the model to pay more attention to relevant words in the input sequence while generating output, enabling it to produce coherent and contextually relevant text.\n\n4. **Zero-shot and Few-shot Learning**: LLMs like GPT-3 have demonstrated the ability to perform zero-shot and few-shot learning, which means they can generate text or perform tasks based on a few examples or prompts without explicit training on the task. This flexibility and generality make LLMs highly versatile and applicable to a wide range of natural language processing tasks.\n\n5. **Ethical and Bias Concerns**: The use of LLMs has raised ethical concerns related to biases in language models, potential misuse for generating fake news or harmful content, and the environmental impact of training and deploying large models. Researchers and practitioners are actively working to address these challenges through techniques like bias mitigation, responsible AI practices, and model compression.\n\nIn conclusion, Large Language Models represent a significant advancement in natural language processing and artificial intelligence, offering powerful capabilities for generating human-like text, understanding language, and performing a wide range of language-related tasks. While LLMs hold great promise for various applications, it is essential to address ethical considerations and ensure responsible deployment to leverage their benefits while mitigating potential risks."
}
]
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "Bc2opGpqiLu9hDTKRRdteYeqvVXddRdHQrovrB3VyDiK",
"fee": 10,
"feeAssetId": "97KVUyuXxzLoD4kqvCWnrQyT9akWcPsC3HXRzSEARW3M",
"timestamp": 1741355798247,
"version": 2,
"chainId": 84,
"sender": "3N7XWpdx1UJKZp5stTtFMXPEygyfZ7j4PyC",
"senderPublicKey": "APsCCjsKHFx7rbr1mG8Pca43pccTbH2G4FZj4keEqKJ5",
"proofs": [
"3g1HQUgWXy233WNMM1aMB9eqRPRug6WJfaRPc6mPR65ADSBiXyLdwngHQJX64dUv4xvPEPmVpYajiRGKcB5R818"
],
"dApp": "3Msx4Aq69zWUKy4d1wyKnQ4ofzEDAfv5Ngf",
"payment": [],
"call": {
"function": "appendBlock",
"args": [
{
"type": "string",
"value": "4675cfda99530edb82cb846d35855ce6cf153f341729aa2270a234d3156d67a3"
},
{
"type": "string",
"value": "80dac74f58e4cfbbb2f62d6fbc275147f6e301c6c61da345c59ea4c0d5a885ce"
},
{
"type": "string",
"value": ""
},
{
"type": "integer",
"value": 89
}
]
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "c4Fs8QiSQLGFvHsJfhK8nqufRc77rHrMF3CgyqqoJBp",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355805710,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"3DDpjmRZ8cKh36eDNkTFrcqo64eDrW4APTFDz5gsPjmxw23j1w7cxgFcaXUhKipkyCCF3BJZHcujyc7g69zE3eW5"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "transferVotes",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "CMqqxn9N14F8rrwtYhsgMqdwdXu1ySu9U9aP1p8nq1RN",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355805729,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"21H8kvKKXJAbzmtSDxQTKvwRGZ1HsneuGBk8Qy2S1AgnLiNZKE9tVokswwPoyLEjQqKECuFvTKkTdR2RFeQxWu5r"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "transferVotes",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "4zMkCKmbt5SS4zCnwQnEiqKgBTeGXBYU2976SJiKNxyr",
"fee": 10,
"feeAssetId": "97KVUyuXxzLoD4kqvCWnrQyT9akWcPsC3HXRzSEARW3M",
"timestamp": 1741355806273,
"version": 2,
"chainId": 84,
"sender": "3N7XWpdx1UJKZp5stTtFMXPEygyfZ7j4PyC",
"senderPublicKey": "APsCCjsKHFx7rbr1mG8Pca43pccTbH2G4FZj4keEqKJ5",
"proofs": [
"4m4BJW6RgvtpJyzAXjsWtUP3RoW9MGhNXemCQzBHmJYs6cAcXD8kzXwriv5fAwt9q8MhpBtfhs8i2hRPhkcRvkRd"
],
"dApp": "3Msx4Aq69zWUKy4d1wyKnQ4ofzEDAfv5Ngf",
"payment": [],
"call": {
"function": "appendBlock",
"args": [
{
"type": "string",
"value": "93c8fccf5d0a4b2c3f5eff86c67d20904b765f3b3c0db5f19f4f03e6a18dac2d"
},
{
"type": "string",
"value": "4675cfda99530edb82cb846d35855ce6cf153f341729aa2270a234d3156d67a3"
},
{
"type": "string",
"value": ""
},
{
"type": "integer",
"value": 89
}
]
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "21yUEjnzWNfM5yV6Q4yqLmspP7M1Rz8ZWCP7EUVVhhkR",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355815757,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"4MvA6fpeYU2BHBG6Kx8Pkgdukxy9mgxHnLyQPLLJJ6AxUxRVkPPUbCeSpfKmrRRpty9qcYMyVnKpu4vZGxoWyk7D"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "transferVotes",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "2C9xK2RazqKzfd4qAmZNzpkmJA3qBZoNmBkciVMJeUKW",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355815784,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"4cgbmoQJFs2nrhCyeXcqjyiGNswyhXTPvxWcYGwmbDPv3oj3qW5rWyXJLnUf8tsrBuUytNWDwMeLYx2Mn3BFcLff"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "transferVotes",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "FKQinNSSznXqzCXenRXHSYX647bTgchfVkHGjABRRGZL",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355818652,
"version": 2,
"chainId": 84,
"sender": "3N5qcEiKJBDwpVZgCeJP814xDbE54ZG4LHo",
"senderPublicKey": "AqqtiUWzxuW2sGQZiUBdYgDuY9J9GaL327FdWiEuh6qc",
"proofs": [
"r8rjbPQoHCGBsxRQXdaJ5qH8u21uHA4iZvRcV3WMKCYHYrnSgWMwLLYWYXP5ZqoPrEvL38yfzykeaKwtWCD8743"
],
"dApp": "3N9tKixzqTYWnEXQxrDQ5pBTGvQd6sFsvmV",
"payment": [
{
"amount": 10000000,
"assetId": "AxGKQRxKo4F2EbhrRq6N2tdLsxtMnpzQsS4QemV6V1W1"
}
],
"call": {
"function": "registerTask",
"args": [
{
"type": "string",
"value": "Provide a comprehensive and in-depth explanation of Large Language Models (LLMs)."
},
{
"type": "string",
"value": "chatgpt"
}
]
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "81E5F2BbVFGyLx3yQYu5yURYc2asExhr1hgSjh5q5eht",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355825816,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"5NFoT8eomhgJ9BVMj9eaCtMrMDrpre37HZUgfvuZS8UnrutmKLehYB3P1geUxBHv2vsBgrnEnwPCWARxxzyt7FAd"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "transferVotes",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "2ffn6fDLC7XRR72BNxrrRn5uqyit6SP1EgSrUasMYQkE",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1741355825831,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"2JNTnvWVkVEP5fGQZe6SA7zKJuTqNqfJYQq2p5vjx9ZfV5STxGgVwKMe9wuFzvbiALd39jg95LNfqS1rhUZipVsZ"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "transferVotes",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "GoSVWvNbmAEN5ScixrjVRsKJPwcnfxta8fhLnoZ84jbw",
"fee": 10,
"feeAssetId": "97KVUyuXxzLoD4kqvCWnrQyT9akWcPsC3HXRzSEARW3M",
"timestamp": 1741355832879,
"version": 2,
"chainId": 84,
"sender": "3N7XWpdx1UJKZp5stTtFMXPEygyfZ7j4PyC",
"senderPublicKey": "APsCCjsKHFx7rbr1mG8Pca43pccTbH2G4FZj4keEqKJ5",
"proofs": [
"5iXxUtSW1VLzwSx7fPpRsAUBkWF2S7JCEBwGntD3JBR2BC9iekfGjFJiHFf41ywDfBJCgnuvGtQNg71Z4Ni32Qr3"
],
"dApp": "3Msx4Aq69zWUKy4d1wyKnQ4ofzEDAfv5Ngf",
"payment": [],
"call": {
"function": "appendBlock",
"args": [
{
"type": "string",
"value": "b34791502f949b6c583d3b2434fdb019d530a233e6661499c8239ad971225b3f"
},
{
"type": "string",
"value": "93c8fccf5d0a4b2c3f5eff86c67d20904b765f3b3c0db5f19f4f03e6a18dac2d"
},
{
"type": "string",
"value": ""
},
{
"type": "integer",
"value": 89
}
]
},
"applicationStatus": "succeeded"
}
]
}
