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robertnishihara
joined
10/16/2017, 6:03 AM
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Posts
Uv and Ray: Pain-Free Python Dependencies in Clusters
by
robertnishihara
on 6/27/2025, 6:14 AM
with
8
comments
Roll: Reinforcement Learning Optimization for Large-Scale Learning
by
robertnishihara
on 6/14/2025, 5:40 AM
with
0
comments
An Open Source Stack for AI Compute: Kubernetes and Ray and PyTorch and VLLM
by
robertnishihara
on 6/13/2025, 4:40 PM
with
0
comments
Uv and Ray: Pain-Free Python Dependencies in Clusters
by
robertnishihara
on 2/28/2025, 4:28 AM
with
0
comments
Ray Batch Inference at Pinterest (Part 3)
by
robertnishihara
on 10/16/2024, 7:51 AM
with
0
comments
Direct Preference Optimization with Synthetic Data on Anyscale
by
robertnishihara
on 8/21/2024, 4:29 PM
with
0
comments
Building an LLM Router for High-Quality and Cost-Effective Responses
by
robertnishihara
on 7/2/2024, 2:57 AM
with
0
comments
Ray Infrastructure at Pinterest
by
robertnishihara
on 6/18/2024, 5:09 AM
with
0
comments
Lessons from training a Stable Diffusion model on 2B images
by
robertnishihara
on 5/11/2024, 12:15 AM
with
0
comments
Canva Built a Modern AI Platform Using Anyscale
by
robertnishihara
on 4/3/2024, 4:47 PM
with
0
comments
Building RAG-Based LLM Applications for Production
by
robertnishihara
on 2/14/2024, 9:49 PM
with
0
comments
Fine-tuning LLMs for longer context and better RAG systems
by
robertnishihara
on 2/13/2024, 10:51 PM
with
0
comments
Two-day hands-on RAG Bootcamp for developers
by
robertnishihara
on 1/31/2024, 7:25 PM
with
0
comments
RAG at Scale: 10x Cheaper Embedding Computations with Anyscale and Pinecone
by
robertnishihara
on 1/16/2024, 8:41 PM
with
0
comments
Comparing LLM Performance: Introducing the Open Source Leaderboard for LLM APIs
by
robertnishihara
on 12/21/2023, 8:17 PM
with
0
comments
LLMPerf Leaderboard
by
robertnishihara
on 12/21/2023, 6:43 PM
with
0
comments
Anyscale Endpoints: JSON Mode and Function Calling Features
by
robertnishihara
on 12/14/2023, 4:52 AM
with
0
comments
LLM summarization: A case study of human, Llama-2, & GPT-4 summarization quality
by
robertnishihara
on 11/10/2023, 10:25 PM
with
0
comments
Reproducible Performance Metrics for LLM Inference
by
robertnishihara
on 11/2/2023, 6:00 AM
with
0
comments
Building Rag-Based LLM Applications for Production
by
robertnishihara
on 10/25/2023, 10:54 PM
with
0
comments
Anyscale Endpoints: LLM inference and fine-tuning
by
robertnishihara
on 10/25/2023, 12:31 AM
with
0
comments
Anyscale Private Endpoints and Anyscale Endpoints Fine-Tuning
by
robertnishihara
on 10/24/2023, 11:59 PM
with
0
comments