Видео ютуба по тегу Llm Production

Large Language Models explained briefly
Large Language Models explained briefly
How Large Language Models Work
How Large Language Models Work
Магистратура по производству и разработке
Магистратура по производству и разработке
Building LLM Applications for Production // Chip Huyen // LLMs in Prod Conference
Building LLM Applications for Production // Chip Huyen // LLMs in Prod Conference
LLMs in Production - First Chapter Summary
LLMs in Production - First Chapter Summary
GraphRAG vs. Traditional RAG: Higher Accuracy & Insight with LLM
GraphRAG vs. Traditional RAG: Higher Accuracy & Insight with LLM
LLM Course – Build a Semantic Book Recommender (Python, OpenAI, LangChain, Gradio)
LLM Course – Build a Semantic Book Recommender (Python, OpenAI, LangChain, Gradio)
LLM Observability: How to Monitor Large Language Models in Production
LLM Observability: How to Monitor Large Language Models in Production
Pitfalls and Best Practices — 5 lessons from LLMs in Production // Raza Habib // LLMs in Prod Con 2
Pitfalls and Best Practices — 5 lessons from LLMs in Production // Raza Habib // LLMs in Prod Con 2
Хотите стать инженером магистра права? Сделайте ЭТО!
Хотите стать инженером магистра права? Сделайте ЭТО!
Deep Dive into LLMs like ChatGPT
Deep Dive into LLMs like ChatGPT
Local AI just leveled up... Llama.cpp vs Ollama
Local AI just leveled up... Llama.cpp vs Ollama
What is Retrieval Augmented Generation (RAG) ? Simplified Explanation
What is Retrieval Augmented Generation (RAG) ? Simplified Explanation
Everything in Ollama is Local, Right?? #llm #localai #ollama
Everything in Ollama is Local, Right?? #llm #localai #ollama
Get production-ready LLMs on Lamini x AMD GPUs #llm #amd #gpu #shorts
Get production-ready LLMs on Lamini x AMD GPUs #llm #amd #gpu #shorts
Как работает Rag? — Векторная база данных и программы LLM #datascience #naturallanguageprocessing...
Как работает Rag? — Векторная база данных и программы LLM #datascience #naturallanguageprocessing...
Agentic RAG vs RAGs
Agentic RAG vs RAGs