Open Source LLMOps

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Learn the skills necessary to operate, optimize, and implement large language models through practical experience with state-of-the-art LLM architectures and open-source resources.

Key AI Functions:opensource,llm,nlp,ai & machine learning

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Description for Open Source LLMOps

Executing and Refining Large Language Models: Acquire the knowledge necessary to operate local large language models and enhance their performance through fine-tuning on scalable platforms such as SkyPilot.
Mastery in LLM Architectures and Tools: Attain a comprehensive understanding of LLM architectures, including Transformers, and utilize tools such as LoRAX and vLLM to facilitate efficient deployment.
Studying the Open-Source LLM Ecosystem: Engage in an in-depth examination of the open-source LLM ecosystem by utilizing pre-trained models such as Code Llama, Mistral, and Stable Diffusion, while also exploring sophisticated architectures, including Sparse Expert Models.
Guided LLM Project and Production Deployment: Engage in a structured project aimed at fine-tuning models such as LLaMA and Mistral on bespoke datasets, followed by the efficient scaling and deployment of these models utilizing cloud platforms and model servers.

Level: Beginner

Certification Degree: yes

Languages the Course is Available: 1

Offered by: On edX provided by AI

Duration: 3�6 hours per week 4 weeks (approximately)

Schedule: Flexible

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