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TopNewBestAskShowJobs
TopNewBestAskShowJobs
1.
Numbers every LLM developer should know (github.com/ray-project)
428 points
richardliaw
3 years ago
103 comments
2.
A Comprehensive Guide for Building Rag-Based LLM Applications (github.com/ray-project)
184 points
robertnishihara
3 years ago
48 comments
3.
Aviary simplifies OSS LLM eval and deployment (github.com/ray-project)
5 points
waleedk
3 years ago
3 comments
4.
LLMPerf Leaderboard (github.com/ray-project)
5 points
robertnishihara
2 years ago
discuss
5.
LLM Inference Endpoint Performance Benchmarking Tool (github.com/ray-project)
4 points
richardliaw
3 years ago
discuss
6.
A comprehensive guide to building RAG-based LLM applications for production (github.com/ray-project)
3 points
richardliaw
3 years ago
discuss
7.
An experimental distributed execution engine from Berkeley (github.com/ray-project)
3 points
eb0la
9 years ago
discuss
8.
Ray: Unified framework for scaling AI and Python applications (github.com/ray-project)
2 points
selvan
2 years ago
discuss
9.
LLMPerf Leaderboard (github.com/ray-project)
2 points
ZeljkoS
2 years ago
discuss
10.
Ray – an open source project for scaling AI workloads (github.com/ray-project)
2 points
richardliaw
3 years ago
discuss
11.
Ray 1.4.0 (github.com/ray-project)
2 points
robertnishihara
5 years ago
discuss
12.
Ray – Build machine learning applications at any scale (github.com/ray-project)
2 points
snooty
6 years ago
discuss
13.
Ray: An experimental distributed execution engine (github.com/ray-project)
2 points
blopeur
9 years ago
discuss
14.
Comparison: Dask vs. Ray (github.com/ray-project)
1 point
Bluestein
2 years ago
discuss
15.
Evaluate Multiple LLMs Easily (github.com/ray-project)
1 point
fzliu
3 years ago
discuss
16.
Distributed XGBoost on Ray (github.com/ray-project)
1 point
robertnishihara
5 years ago
discuss
17.
A fast and simple framework for building and running distributed applications (github.com/ray-project)
1 point
minimaxir
7 years ago
discuss
18.
Show HN: Phylogenetic Tree of All Life
3 points
kekeke
7 years ago
discuss