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Awesome-AIM-Index
PublicFlappy-Bird-AIM-Style
PublicUnsloth-Llama-4
PublicMCP-Event
PublicOpenAI-Agents-Events
PublicRAG-In-Practice-2025
Public- Large Language Model Engineering (LLM Engineering) refers to the emerging best-practices and tools for pretraining, post-training, and optimizing LLMs prior to production deployment. Pre- and post-training techniques include unsupervised pretraining, supervised fine-tuning, alignment, model merging, distillation, quantization. and others.
Vibe-Coding-With-Cursor
PublicDeepResearch-HF
PublicOnPremAgents
PublicvLLM-Event-AIM
PublicDopenessReport-OnPrem
PublicDataRepository
PublicMLOpsWorldGenAISummit
PublicChainlit-Event-AIM
PublicTMLS-OSS-AGENTS
PublicAIMS-CrewAI-Demo
PublicPromptEngineer-Colab
PublicLLM-Ops-Cohort-1
PublicFollowing emerging Large Language Model Operations (LLM Ops) best practices in the industry, youβll learn all about the key technologies that enable Generative AI practitioners like you to leverage tools like LangChain, LLamaIndex, and more, to build complex LLM applications.Ask_AI_Makerspace
PublicLangServeDemo
PublicGPT4AppWithDALLE3
PublicRLXF-Community-Sessions
PublicLLMOps-Dev-201
Public