Die Welt der Decentralized Finance (DeFi) und Kryptowährungen versucht, unser Finanzsystem zu revolutionieren und möchte Vertrauen in Finanzinstitutionen wie Banken durch Mathematik in Form von Code ersetzen. Grundbaustein für diese neue dezentrale Finanzwelt sind öffentliche Blockchain-Netzwerke wie Ethereum, deren Transaktionen von jedem auf der Blockchain eingesehen und nachverfolgt werden können.
Das bietet eine Vielzahl an neuen Analysemöglichkeiten, da eine große Menge an Daten entsteht, die sich analysieren lassen. Das Problem dabei: Besonders viele Tools, die diese oft mühselige Arbeit erleichtert, gibt es bislang nicht. Genau dort setzt ein neues ChatGPT Plugin des Krypto-Analyseunternehmen DefiLlama an. Was steckt dahinter?
Was ist das DeFiLlama ChatGPT Plugin?
Das DeFiLlama ChatGPT Plugin ist ein erweiterter Bestandteil des KI-gesteuerten Chatbots von OpenAI, allgemein bekannt als GPT-4. Das Plugin ermöglicht es, sowohl aktuelle als auch historische Daten von…
Weitere Quellen
Here are some additional sources related to the topic “ChatGPT Plug-in for Crypto: Data Analysis Made Easy” from Wikipedia:
1. [GPT-3 OpenAI](https://en.wikipedia.org/wiki/GPT-3) – Learn more about the GPT-3 (Generative Pre-trained Transformer 3) model developed by OpenAI, which forms the basis for ChatGPT plug-in.
2. [OpenAI](https://en.wikipedia.org/wiki/OpenAI) – Explore the Wikipedia page of OpenAI, the organization behind the development of ChatGPT and GPT-3.
3. [Data analysis](https://en.wikipedia.org/wiki/Data_analysis) – Discover more about the process of data analysis, a key component of ChatGPT plug-in for crypto.
4. [Cryptocurrency](https://en.wikipedia.org/wiki/Cryptocurrency) – Gain insights into the world of cryptocurrencies, which the ChatGPT plug-in can help provide data analysis for.
5. [Artificial intelligence](https://en.wikipedia.org/wiki/Artificial_intelligence) – Learn about the field of artificial intelligence, which ChatGPT falls under, and its role in data analysis.
6. [Machine learning](https://en.wikipedia.org/wiki/Machine_learning) – Understand the concept of machine learning, a subfield of artificial intelligence, which is used by GPT-3 and ChatGPT plug-in.
7. [Natural language processing](https://en.wikipedia.org/wiki/Natural_language_processing) – Read about natural language processing, an area of study that involves enabling computers to understand and process human language, which is utilized in ChatGPT plug-in.
8. [Deep learning](https://en.wikipedia.org/wiki/Deep_learning) – Explore deep learning, a subset of machine learning, which enables ChatGPT plug-in to analyze and interpret crypto-related data.
9. [Python programming language](https://en.wikipedia.org/wiki/Python_(programming_language)) – Get information about Python, the programming language commonly used for building data analysis tools, including those used in ChatGPT plug-in.
10. [Software plug-in](https://en.wikipedia.org/wiki/Plug-in_(computing)) – Understand what a software plug-in is and how it can extend the functionality of another software, such as ChatGPT.
These sources provide additional insights, explanations, and background information relevant to the topic.
