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JPMorgan Launches AI Tool for Analysts 🤖
JPMorgan Chase has launched #LLM Suite, an AI tool designed to assist its asset and wealth management division by performing tasks typically done by research analysts, such as writing, idea generation, and document summarization.
Introduced through an internal memo by top executives, the tool is similar to #ChatGPT and integrates with internal systems handling sensitive financial information to enhance productivity. Initially rolled out to 15% of JPMorgan's workforce, the tool aims to support research analysts by providing information, solutions, and advice.
A survey by #JPMorgan found that 61% of institutional traders view AI as the most impactful technology for the future of trading.
#Binance
#crypto2024
JPMorgan Chase has launched #LLM Suite, an AI tool designed to assist its asset and wealth management division by performing tasks typically done by research analysts, such as writing, idea generation, and document summarization.
Introduced through an internal memo by top executives, the tool is similar to #ChatGPT and integrates with internal systems handling sensitive financial information to enhance productivity. Initially rolled out to 15% of JPMorgan's workforce, the tool aims to support research analysts by providing information, solutions, and advice.
A survey by #JPMorgan found that 61% of institutional traders view AI as the most impactful technology for the future of trading.
#Binance
#crypto2024
jaq
jaq (pronounced like Jacques1) is a clone of the JSON data processing tool jq. jaq aims to support a large subset of jq's syntax and operations.
jaq focuses on three goals:
Correctness: jaq aims to provide a more correct and predictable implementation of jq, while preserving compatibility with jq in most cases.
Examples of surprising jq behaviour
Performance: I created jaq originally because I was bothered by jq's long start-up time, which amounts to about 50ms on my machine. This can particularly show when processing a large number of small files. jaq starts up about 30 times faster than jq 1.6 and outperforms jq also on many other benchmarks.
Simplicity: jaq aims to have a simple and small implementation, in order to reduce the potential for bugs and to facilitate contributions.
I drew inspiration from another Rust program, namely jql. However, unlike jql, jaq aims to closely imitate jq's syntax and semantics. This should allow users proficient in jq to easily use jaq.
link : https://github.com/01mf02/jaq
#AImodel
#LLM #OpenAi #LLM
jaq (pronounced like Jacques1) is a clone of the JSON data processing tool jq. jaq aims to support a large subset of jq's syntax and operations.
jaq focuses on three goals:
Correctness: jaq aims to provide a more correct and predictable implementation of jq, while preserving compatibility with jq in most cases.
Examples of surprising jq behaviour
Performance: I created jaq originally because I was bothered by jq's long start-up time, which amounts to about 50ms on my machine. This can particularly show when processing a large number of small files. jaq starts up about 30 times faster than jq 1.6 and outperforms jq also on many other benchmarks.
Simplicity: jaq aims to have a simple and small implementation, in order to reduce the potential for bugs and to facilitate contributions.
I drew inspiration from another Rust program, namely jql. However, unlike jql, jaq aims to closely imitate jq's syntax and semantics. This should allow users proficient in jq to easily use jaq.
link : https://github.com/01mf02/jaq
#AImodel
#LLM #OpenAi #LLM
RagaAI Inc. has launched RagaAI LLM Hub, an open-source package for the AI community. The tool offers 100+ evaluation metrics and guardrails to evaluate and diagnose LLM and RAG application performance. It assesses various aspects of LLM application building, including relevance, content quality, and more.
#RagaAI #AI #TrendingTopic #LLM
#RagaAI #AI #TrendingTopic #LLM
Make Sense of Smart Contracts with Etherscan Code Reader
Etherscan Code Reader: A New Tool to Understand Smart Contracts
#Etherscan the preeminent block explorer and analytics platform for Ethereum, has launched a new feature called Code Reader. This tool allows users to query OpenAI's large language model ( #LLM ) to research Solidity smart contracts.
Code Reader is a valuable tool for developers and other interested parties who want to better understand the code of a smart contract. It can be used to get a list of smart contract functions, interact directly with the smart contract, and learn how to integrate a given smart contract with other decentralized apps.
For example, Code Reader can be used to understand the token contract for the recently-in-vogue #memecoins PEPE. The contract is "ownable," meaning an account (owner) can be "granted exclusive access to specific functions." These functions include transferring ownership of the contract, setting rules for token transfers, adding or removing addresses from a blacklist, and renouncing ownership of the contract.
Code Reader can also be used to determine if ownership of a contract has been renounced. In the case of #pepe ownership has been renounced, which means that no one can modify the blacklist or perform administrative actions. This means that users can freely send $PEPE back and forth without the risk of censorship.
It is important to note that Code Reader is still in beta and should not be relied upon in a vacuum. The answers provided by #OpenAI LLM are not always perfect, and it is important to do your own research to ensure that you understand the code of a smart contract before interacting with it.
Overall, Code Reader is a valuable tool for developers and other interested parties who want to better understand the code of smart contracts. It is easy to use and provides a wealth of information, but it is important to be aware of its limitations.
How to Use Code Reader
To use Code Reader, simply visit the Etherscan website and click on the "Code Reader" tab. Then, enter the address of the smart contract you want to research. Code Reader will then provide you with a list of the contract's functions, as well as a brief explanation of each function.
You can also interact directly with the smart contract by clicking on the "Interact" button. This will open a new window where you can send transactions to the contract.
Limitations of Code Reader
Code Reader is still in beta, so it is important to be aware of its limitations. The answers provided by OpenAI's LLM are not always perfect, and it is important to do your own research to ensure that you understand the code of a smart contract before interacting with it.
Additionally, Code Reader is not able to provide information about the security of a smart contract. If you are concerned about the security of a smart contract, you should consult with a security expert.
$ETH $BTC
#Etherscan the preeminent block explorer and analytics platform for Ethereum, has launched a new feature called Code Reader. This tool allows users to query OpenAI's large language model ( #LLM ) to research Solidity smart contracts.
Code Reader is a valuable tool for developers and other interested parties who want to better understand the code of a smart contract. It can be used to get a list of smart contract functions, interact directly with the smart contract, and learn how to integrate a given smart contract with other decentralized apps.
For example, Code Reader can be used to understand the token contract for the recently-in-vogue #memecoins PEPE. The contract is "ownable," meaning an account (owner) can be "granted exclusive access to specific functions." These functions include transferring ownership of the contract, setting rules for token transfers, adding or removing addresses from a blacklist, and renouncing ownership of the contract.
Code Reader can also be used to determine if ownership of a contract has been renounced. In the case of #pepe ownership has been renounced, which means that no one can modify the blacklist or perform administrative actions. This means that users can freely send $PEPE back and forth without the risk of censorship.
It is important to note that Code Reader is still in beta and should not be relied upon in a vacuum. The answers provided by #OpenAI LLM are not always perfect, and it is important to do your own research to ensure that you understand the code of a smart contract before interacting with it.
Overall, Code Reader is a valuable tool for developers and other interested parties who want to better understand the code of smart contracts. It is easy to use and provides a wealth of information, but it is important to be aware of its limitations.
How to Use Code Reader
To use Code Reader, simply visit the Etherscan website and click on the "Code Reader" tab. Then, enter the address of the smart contract you want to research. Code Reader will then provide you with a list of the contract's functions, as well as a brief explanation of each function.
You can also interact directly with the smart contract by clicking on the "Interact" button. This will open a new window where you can send transactions to the contract.
Limitations of Code Reader
Code Reader is still in beta, so it is important to be aware of its limitations. The answers provided by OpenAI's LLM are not always perfect, and it is important to do your own research to ensure that you understand the code of a smart contract before interacting with it.
Additionally, Code Reader is not able to provide information about the security of a smart contract. If you are concerned about the security of a smart contract, you should consult with a security expert.
$ETH $BTC
