Be a part of Jerry, co-founder and CEO of LlamaIndex, and Amog, Ray developer at Anyscale as they talk about key challenges with constructing and scaling LLM purposes.
Then, comply with alongside as Amog takes you thru a code tutorial which you could attempt to learn extra about of their jointly-written weblog!
Be taught Extra
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Weblog Submit: https://anyscale.com/blog/build-and-scale-a-powerful-query-engine-with-llamaindex-and-ray
Code: https://github.com/amogkam/llama_index_ray
Ray Docs: https://docs.ray.io/en/latest/
Ray Overview: https://www.ray.io/
LlamaIndex: https://www.llamaindex.ai/
LlamaIndex GitHub: https://github.com/jerryjliu/llama_index
Be a part of the Group!
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Twitter: https://twitter.com/raydistributed
Slack: https://docs.google.com/forms/d/e/1FAIpQLSfAcoiLCHOguOm8e7Jnn-JJdZaCxPGjgVCvFijHB5PLaQLeig/viewform
Talk about Discussion board: https://discuss.ray.io/
Managed Ray
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For those who’re taken with a managed Ray service, try: https://www.anyscale.com/signup
#llm #machinelearning #ray #deeplearning #distributedsystems #python
