RULER
ai_benchmark
Overview
Open source✓ Open Source
Use caseevaluating long-context LLMs with configurable sequence lengths and task categories
Also see
Alternative to
Knowledge graph stats
Claims6
Avg confidence97%
Avg freshness99%
Last updatedUpdated yesterday
Trust distribution
100% unverified
Governance
Not assessed
RULER
concept
Benchmark for evaluating long-context LLMs with flexible sequence lengths and task complexity
Compare with...alternative to
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Needle in a Haystack | ○Unverified | High | Fresh | 1 |
evaluates
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| long-context retrieval, multi-hop tracing, aggregation, and question answering | ○Unverified | High | Fresh | 1 |
open source
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| true | ○Unverified | High | Fresh | 1 |
primary use case
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| evaluating long-context LLMs with configurable sequence lengths and task categories | ○Unverified | High | Fresh | 1 |
first released
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| 2024 | ○Unverified | High | Fresh | 1 |
created by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Cheng-Ping Hsieh et al. (NVIDIA) | ○Unverified | High | Fresh | 1 |