Reassessing “AI” models – Questions data buyers should ask

Paris Tung, Associate (London)

Neudata Intelligence
Post feature

The terms “generative AI” and “large language model” entered the mainstream with the public release of ChatGPT in late 2022. The subsequent proliferation of related applications sparked interest across numerous fields, including in the alternative data industry. In this report, we will delve deeper into the use of these technologies in the investment field to assess issues and raise questions data buyers should consider when interacting with vendors.

Basic Concepts and Applications

Let’s start by clarifying a few terms:

  • Artificial intelligence (AI) refers to computer systems that can perform tasks that typically require human-like intelligence.
  • Machine learning (ML) is a branch of AI that involves training algorithms to make predictions or decisions based on data without being explicitly programmed to do so.
  • Deep learning is a subset of ML that uses neural networks with many layers (hence “deep”) to analyse various data factors.

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