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Michael Galarnyk

Sven Mika

Learn what reinforcement learning is through images, code, and video examples, along with terms like "agents" & "environments."

Introduction to Reinforcement Learning 

Intro to Reinforcement Learning | OpenAI Gym, RLlib & Google Colab

An Introduction to Reinforcement Learning with OpenAI Gym, RLlib, and Google Colab

SpaceX Falcon9 rocket

Attention Nets and More with RLlib's Trajectory View API

Unity 3D game world

Reinforcement Learning with RLlib in the Unity Game Engine

Intel and Anyscale have integrated Ray with Gaudi3. Gaudi3 is AI-optimized for efficient training and other machine learning workloads.

Anyscale - Intel

Accelerating AI: Harnessing Intel(R) Gaudi(R) 3 with Ray 2.10

Anyscale is teaming with NVIDIA to combine the developer productivity of Ray Serve and RayLLM with the cutting-edge optimizations from NVIDIA Triton Inference Server software and the NVIDIA TensorRT-LLM library.

NVIDIA-Anyscale Logo 1280x680.jpg

Low-latency Generative AI Model Serving with Ray, NVIDIA Triton Inference Server, and NVIDIA TensorRT-LLM

Based on the popular “Needle In a Haystack” benchmark and RAG, we share our process of creating a problem-specific fine-tuning dataset to extend the context of models to build better RAG systems.

fine tuning llms query featured

Fine-tuning LLMs for longer context and better RAG systems

Generating embeddings is a critical task for developing successful RAG applications, and Anyscalew with Pinecone is the most cost-efficient solution for this workflow.

blog-anyscale-pincone

RAG at Scale: 10x Cheaper Embedding Computations with Anyscale and Pinecone

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