Jasper Hamill

Jasper Hamill is a technology journalist who covers the latest developments in artificial intelligence and machine learning. He has a strong background in finance and enjoys exploring how AI can revolutionize the financial sector. Jasper's articles often focus on LLMs (Large Language Models) and their applications across various industries, including finance, healthcare, and education.

Biography:  https://www.thestack.technology/author/jasper/

92%

The overall score is a weighted number that takes into account conflict of interest, bias, deception and other practices that undermines the credibility of the source. It is calculated as:
Analysis.OverallConflictOfInterestScore * 0.3F + Analysis.OverallBiasScore * 0.3F + Analysis.DeceptivenessScore * 0.3F + Analysis.ReadabilityScore * 0.1F

A score that takes into consideration the content for flow, interruptions with ads, and overt search engine optimization techniques that makes the content hard to understand

The Daily's Verdict

This author is known for its high journalistic standards. The author strives to maintain neutrality and transparency in its reporting, and avoids conflicts of interest. The author has a reputation for accuracy and rarely gets contradicted on major discrepancies in its reporting.

Bias

100%

Examples:

No current examples available.

Conflicts of Interest

100%

Examples:

No current examples available.

Contradictions

100%

Examples:

No current examples available.

Deceptions

75%

Examples:

  • It's going to be huge for the finance world.
  • This is another sign that LLMs are going to be able to work with structured & unstructured spreadsheet data soon.

Recent Articles

Revolutionizing Spreadsheet Data Analysis: Microsoft's New AI Model, SpreadsheetLLM

Revolutionizing Spreadsheet Data Analysis: Microsoft's New AI Model, SpreadsheetLLM

Broke On: Tuesday, 16 July 2024 Microsoft's SpreadsheetLLM AI model revolutionizes spreadsheet data analysis by compressing complex spreadsheets for efficient processing by large language models, improving performance in table detection tasks and enabling more comprehensive data analysis, with potential implications for finance, accounting, and data analysis industries.