In this video, I showcase how investment professionals can leverage large language models like ChatGPT to efficiently collate and analyze Q3 earnings data from companies such as Netflix, Goldman Sachs, Tesla, and Procter & Gamble. By integrating a low-code LLM platform, LastMile, users can automate the extraction of key data points, including company summaries, market reactions, and global macro implications, from various reports. This workflow can be batched for multiple companies, offering a consistent and rapid analysis tool.

Write & Notebook: https://mannybernabe.substack.com/p/c...

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