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This free 8 hour course from NVIDIA is all you need to start building RAG Agents with LLMs

It talks in depth about -

- LLM Inference Interfaces
- Pipeline Design with LangChain
- Gradio and LangServe
- Dialog Management with Running States
- Working with Documents
- Embeddings for Semantic Similarity and Guardrailing
- Vector Stores for RAG Agents

Start your course here -

https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-15+V1


🆔 @programmers_street

کتابخانه مهندسی کامپیوتر و پایتون
This free 8 hour course from NVIDIA is all you need to start building RAG Agents with LLMs

It talks in depth about -

- LLM Inference Interfaces
- Pipeline Design with LangChain
- Gradio and LangServe
- Dialog Management with Running States
- Working with Documents
- Embeddings for Semantic Similarity and Guardrailing
- Vector Stores for RAG Agents

Start your course here -

https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-15+V1


🆔 @programmers_street
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A project of our size needs at least a few hundred million dollars per year to keep going,” Mr. Durov wrote in his public channel on Telegram late last year. “While doing that, we will remain independent and stay true to our values, redefining how a tech company should operate.

This free 8 hour course from NVIDIA is all you need to start building RAG Agents with LLMs

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