The human ambitious desire to get rich without effort has been a major driving force behind the popularity of cryptocurrencies like Bitcoin and Ethereum. However, their high volatility makes them too unpredictable, and keeping track of our investment gains and losses over time can be tedious, if not boring.

In this talk, we will define the different components necessary to build a personalized Bitcoin (BTC) virtual assistant in Python. The assistant will help you analyze your transaction history, estimate future BTC prices, and calculate the future value of your holdings based on these predictions. It will be powered by LLMs and will make use of a recent technique called Function Calling to recognize the user intent from the conversation history.

Javier de la Rúa Martínez

Javier is a Research Engineer at Hopsworks where he actively contributes to advancing the Hopsworks Feature Store platform. He is currently pursuing his Ph.D. at KTH Royal Institute of Technology in Sweden with a primary focus on large-scale machine learning systems

visit the speaker at: Github