HN Explorer

abhijithneil

↗ HN profile [ 24.0 ms ] full profile
Karma
0
Created
()
Submissions
0
  1. 1 points 1
  2. How to make LLMs and Agents work on large amounts of data (blog.datatune.ai)
    1 points 1
  3. Show HN: Cursor For Data – Make LLMs and Agents have row-level intelligence (github.com)

    Modern AI tools use SQL/Code generation agents or RAG to access the user data to perform transformations. However, the drawback is that this doesn't provide row-level intelligence, especially in case of semantic…

    1 points 0
  4. Show HN: Per row context understanding for data transformations (github.com)

    Traditional databases rely on RAG and vector databases or SQL-based transformations/analytics. But will they be able to preserve per-row contextual understanding? We’ve released Agents as part of Datatune:…

    1 points 0
  5. Show HN: Datatune- Perform data transformations with Natural Language using LLMs (github.com)

    We created a tool to make data transformations be simple using plain natural language, with the help of LLMs! It helps you with - Saving Data Transformation costs with LLMs - Avoid context-length issues, even with large…

    2 points 0
  6. Show HN: Unify all AI data workflows (github.com)

    Datatune helps you aggregate your data from multiple sources, edit/label them and stream the data to your training pipelines, directly from your sources! Demo: https://youtu.be/wSlkQGvwmWE?si=swKsemG9lTUSDEFW To request…

    1 points 0