Okan YenigüninArtificial Intelligence in Plain EnglishLangChain in Chains #35: Llama 3.1 GGUFIn this chapter, we will use the Llama 3.1 8B model locally with a GGUF file.8h ago8h ago
Okan YenigünQuantization Demystified: GGUF, GPTQ, AWQMaking AI Accessible: How Quantization Brings Big Models to Small Devices1d ago1d ago
Okan YenigüninLevel Up CodingAnt Colony Optimization in ActionA Python Solution to the Traveling Salesman Problem2d ago2d ago
Okan YenigüninDevOps.devLangChain in Chains #34: CV SummarizerIn this chapter, we will work through another example use case. This time, we will load CVs into a vector store, retrieve the most relevant…3d ago3d ago
Okan YenigüninAI MindFine-Tuning ABSA Models with SetFit: A Practical GuideStep-by-Step Fine-Tuning of ABSA Models with SetFit4d ago4d ago
Okan YenigüninDev GeniusBuilding on VAR: A Transition to VARMA and VARMAX ModelsA Guide to VARMA and VARMAX Models5d ago15d ago1
Okan YenigüninTowards DevLangChain in Chains #33: Another Vectorstore ExampleIn this chapter, we will quickly build a simple RAG (Retrieval-Augmented Generation) demonstration. We will create a machine learning model…6d ago6d ago
Okan YenigüninArtificial Intelligence in Plain EnglishFine-Tuning Sentiment Analysis ModelHow to Fine-Tune Sentiment Analysis Models with Hugging Face and PyTorchAug 11Aug 11
Okan YenigüninDev GeniusCookies in DjangoCookies are data stored on the client side, and transmitted to the server with each request. This allows the server to access and utilize…Aug 10Aug 10