Featured Posts and News

Simplifying AI Development at Scale: Google Cloud Integrates Anyscale's RayTurbo with GKE
04 . 09 . 2025

Simplifying AI Development at Scale: Google Cloud Integrates Anyscale's RayTurbo with GKE

02 . 12 . 2025

Deploying DeepSeek R1 on Anyscale

10 . 03 . 2024

Ray Summit 2024: Breaking Through the AI Complexity Wall

preference-tuning

08 . 21 . 2024

Direct Preference Optimization with Synthetic Data on Anyscale

By Franklin Wang, 
Sumanth Hegde and 
Kourosh Hakhamaneshi
fine tuning llms query featured

02 . 13 . 2024

Fine-tuning LLMs for longer context and better RAG systems

By Artur Niederfahrenhorst and 
Kourosh Hakhamaneshi
lora blog 1

09 . 06 . 2023

Fine-Tuning LLMs: LoRA or Full-Parameter? An in-depth Analysis with Llama 2

By Artur Niederfahrenhorst, 
Kourosh Hakhamaneshi and 
Rehaan Ahmad
Llama 2 performance

08 . 11 . 2023

Fine-Tuning Llama-2: A Comprehensive Case Study for Tailoring Models to Unique Applications

By Kourosh Hakhamaneshi and 
Rehaan Ahmad
fine-tune-img-1

07 . 05 . 2023

Fine tuning is for form, not facts

By Waleed Kadous and 
Kourosh Hakhamaneshi
rllib_figure_5

06 . 26 . 2023

Introducing RLlib Multi-GPU Stack for Cost Efficient, Scalable, Multi-GPU RL Agents Training

By Avnish Narayan and 
Kourosh Hakhamaneshi