Sulaiman ShamasnaFalcon 7B Fine-Tuning on GPU with LoRAFine-tuning large language models, such as Falcon 7B, can be a resource-intensive and complex task. Techniques like Low-Rank Adaptation…4d ago4d ago
Sulaiman ShamasnaThe Hugging Face EcosystemWhat started with Transformers has quickly grown into a whole ecosystem consisting of many libraries and tools to accelerate your NLP and…Jun 20Jun 20
Sulaiman ShamasnaRAG IV: Agentic RAG with LlamaIndexRouter Query Engine, Tool Calling, Agent Reasoning Loop, Multi-Document Agent.Jun 12Jun 12
Sulaiman ShamasnaThe Realistic Picture of a Machine Learning Model LifecycleIn an average organization today, the realistic picture of a machine learning model lifecycle involves many different people with…Jun 5Jun 5
Sulaiman ShamasnaLLMOps: Automation and Orchestration of LLMs’ WorkflowsIntroduction to LLMOps, Data Pipelines, Data Warehouse, KubeFlow, Model Deployment, Monitoring, Fine-tuning …Jun 4Jun 4
Sulaiman ShamasnaRAG I: Advanced Techniques with ChromaExplore RAG from the basic idea into advanced techniques including Query Expansion, Cross-Encoder Re-ranking, and Query Adapters.May 27May 27
Sulaiman ShamasnaThe Maturity of an MLOps processManual ML pipelines, ML process automation and orchestration.May 20May 20
Sulaiman ShamasnaContinuous TrainingWhat is 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 (𝗖𝗧) in MLOps and what steps are needed to achieve it? This is illustrated in the diagram…May 16May 16
Sulaiman ShamasnaGIT: Workflow and Essential CommandsGit is a systematic approach to managing and tracking changes in software development projects. It enables collaboration among team members…May 10May 10
Sulaiman ShamasnaCICD Pipeline for Machine Learning ModelHow is 𝗖𝗜/𝗖𝗗 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗳𝗼𝗿 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 compared to 𝗥𝗲𝗴𝘂𝗹𝗮𝗿…Apr 22Apr 22