Pınar ErsoyinANOLYTICSRetrieval-Augmented Generation (RAG) as the Future of Information Retrieval in Generative AIIn the modern era, we are overwhelmed by an extraordinary stream of information. Each email sent, every document handled, and every…21h ago21h ago
Pınar ErsoyinANOLYTICSOptimal Execution Strategies for Llama 3.1Meta’s Llama 3.1 series represents a significant advancement in large language models (LLMs), pushing the boundaries of natural language…Jul 26Jul 26
Pınar ErsoyinANOLYTICSRevolutionizing Code Review with Large Language Models: A Deep Dive into code2prompt and its PeersThe code review process, a vital component of software development, frequently requires assistance to overcome obstacles such as time…Jun 21Jun 21
Pınar ErsoyinANOLYTICSFine-tuning Llama 3: 70B for Code-Related TasksA Deep Dive into PyTorch FSDP and Q-LoRAMay 8May 8
Pınar ErsoyinANOLYTICSAdvancing Log Interpretation on Distributed Environments: A Technical Deep Dive for Mistral 7B…A Deeper Look into Mistral 7B ArchitectureApr 6Apr 6
Pınar ErsoyinANOLYTICSOffline Large Language Models: Embracing the Power without Internet DependencyAn End-to-End Guide to Liberate the Potential of Language Models from Internet RelianceFeb 26Feb 26
Pınar ErsoyinANOLYTICSBuilding End-to-End Machine Learning Pipelines with Amazon SageMaker: A Step-by-Step GuideA Deeper Look Into Amazon SageMaker FeaturesJan 6Jan 6
Pınar ErsoyinANOLYTICSTypes of Pattern Mining Approaches with SparkHow to Apply Different Types of Pattern Mining Models with Spark — A PySpark Guide to Implement Frequent Pattern MiningDec 6, 2023Dec 6, 2023
Pınar ErsoyinANOLYTICSThe Next Generation Video Processing Technology: A Guide to AWS DeepLensInternet of Things applications can handle more information operations owing to computational frameworks and improvements in hardware.Oct 23, 2023Oct 23, 2023
Pınar ErsoyinTowards Data ScienceServing ML models with Apache SparkAn end-to-end guide on how to serve models with PySparkSep 13, 2022Sep 13, 2022