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Top New Best Ask Show Jobs

31.

Joins and Hash-Shuffle in Ray Data

a year ago

robertnishihara

3 points

32.

An OSS Stack for AI Compute: Kubernetes + Ray + PyTorch + LLM

a year ago

3 points

33.

Building Rag-Based LLM Applications for Production

3 years ago

robertnishihara

3 points

34.

Anyscale Private Endpoints and Anyscale Endpoints Fine-Tuning

3 years ago

robertnishihara

3 points

35.

Loading Llama-2 70B 20x faster with Anyscale Endpoints

3 years ago

3 points

36.

How to build a LLM search engine using a self-hosted LLM

3 years ago

3 points

37.

An informal introduction to reinforcement learning

4 years ago

robertnishihara

3 points

38.

Why Third Generation ML Platforms Are More Performant

5 years ago

robertnishihara

3 points

39.

The Third Generation of Production ML Architectures

5 years ago

robertnishihara

3 points

40.

6 years ago

robertnishihara

3 points

41.

Enterprise Applications of Reinforcement Learning

6 years ago

robertnishihara

3 points

42.

Major upgrades to Ray Serve: 88% lower latency and 11.1x higher throughput

3 months ago

robertnishihara

2 points

43.

Data Processing Is Becoming a GPU Workload

7 days ago

robertnishihara

2 points

44.

Massively Parallel Agentic Simulations with Ray

9 months ago

robertnishihara

2 points

45.

Native LLM APIs in Ray Data and Ray Serve

a year ago

robertnishihara

2 points

46.

Large-Scale Deployment of Ray in Tencent's Weixin AI Infrastructure

a year ago

robertnishihara

2 points

47.

Anyscale Appoints Keerti Melkote as CEO

2 years ago

2 points

48.

Canva Built a Modern AI Platform Using Anyscale

2 years ago

robertnishihara

2 points

49.

Building RAG-Based LLM Applications for Production

2 years ago

robertnishihara

2 points

50.

Comparing LLM Performance: Introducing the Open Source Leaderboard for LLM APIs

3 years ago

robertnishihara

2 points

51.

Anyscale Endpoints: JSON Mode and Function Calling Features

3 years ago

robertnishihara

2 points

52.

Building RAG-Based LLM Applications for Production

3 years ago

2 points

53.

Reproducible Performance Metrics for LLM Inference

3 years ago

robertnishihara

2 points

54.

Fine Tuning is for form not facts

3 years ago

2 points

55.

Continuous batching enables 23x throughput in LLM inference

3 years ago

2 points

56.

Serving PyTorch Models with FastAPI and Ray Serve

4 years ago

2 points

57.

Ray Datasets for large-scale machine learning ingest and scoring

4 years ago

2 points

58.

Ray 1.10 Released

4 years ago

2 points

59.

Parallelizing Python Code

5 years ago

robertnishihara

2 points

60.

Data Processing Support in Ray

5 years ago

robertnishihara

2 points