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allenai
lumos
Python2024–2024
allenai / lumos

lumos

Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"

2Distinct people
2Mentions
0Explicit recommenders
478GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by hour2 dated mentions

Observed mentions: 2024-04-02 05:38:38 UTC to 2024-04-02 15:02:58 UTC.

012024-04-02 05:00:00 UTC to 2024-04-02 06:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsApr 2, 05:002024-04-02 06:00:00 UTC to 2024-04-02 07:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-04-02 07:00:00 UTC to 2024-04-02 08:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-04-02 08:00:00 UTC to 2024-04-02 09:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-04-02 09:00:00 UTC to 2024-04-02 10:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-04-02 10:00:00 UTC to 2024-04-02 11:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsApr 2, 10:002024-04-02 11:00:00 UTC to 2024-04-02 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-04-02 12:00:00 UTC to 2024-04-02 13:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-04-02 13:00:00 UTC to 2024-04-02 14:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-04-02 14:00:00 UTC to 2024-04-02 15:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-04-02 15:00:00 UTC to 2024-04-02 16:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsApr 2, 15:00

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Apr 2, 05:002024-04-02 05:00:00 UTC2024-04-02 06:00:00 UTC101
Apr 2, 06:002024-04-02 06:00:00 UTC2024-04-02 07:00:00 UTC000
Apr 2, 07:002024-04-02 07:00:00 UTC2024-04-02 08:00:00 UTC000
Apr 2, 08:002024-04-02 08:00:00 UTC2024-04-02 09:00:00 UTC000
Apr 2, 09:002024-04-02 09:00:00 UTC2024-04-02 10:00:00 UTC000
Apr 2, 10:002024-04-02 10:00:00 UTC2024-04-02 11:00:00 UTC000
Apr 2, 11:002024-04-02 11:00:00 UTC2024-04-02 12:00:00 UTC000
Apr 2, 12:002024-04-02 12:00:00 UTC2024-04-02 13:00:00 UTC000
Apr 2, 13:002024-04-02 13:00:00 UTC2024-04-02 14:00:00 UTC000
Apr 2, 14:002024-04-02 14:00:00 UTC2024-04-02 15:00:00 UTC000
Apr 2, 15:002024-04-02 15:00:00 UTC2024-04-02 16:00:00 UTC101

What Hacker News says

2 sources
Random, off-topic observation: it seems like I see lots of open-source LLM prompts have prompts that aren't proofread. For example [0], "ounch", "he spend", general lack of punctuation, and so on. But the big model providers don't do this [1], so I'm curious how much impact proper grammar in prompts makes (and if it's a positive or negative impact). [0] https://github.com/allenai/lumos/blob/main/data/incontext.py... [1] https://twitter.com/AmandaAskell/status/1765207842993434880
In Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs

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