Pınar ErsoyRetrieval-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…Aug 31Aug 31
Pınar ErsoyOptimal 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 261Jul 261
Pınar ErsoyRevolutionizing 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 ErsoyFine-tuning Llama 3: 70B for Code-Related TasksA Deep Dive into PyTorch FSDP and Q-LoRAMay 8May 8
Pınar ErsoyAdvancing Log Interpretation on Distributed Environments: A Technical Deep Dive for Mistral 7B…A Deeper Look into Mistral 7B ArchitectureApr 6Apr 6
Pınar ErsoyOffline 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
Rayan PotterTransformative Role that AI Plays in the Retail IndustryAI in retail plays a key role in deriving key insights with regard to various markets for enhancing different touchpoints in the customer…Jan 22Jan 22
Pınar ErsoyBuilding End-to-End Machine Learning Pipelines with Amazon SageMaker: A Step-by-Step GuideA Deeper Look Into Amazon SageMaker FeaturesJan 6Jan 6
Pınar ErsoyTypes 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
Rayan PotterLiquid Neural Networks: Adept Invention for Adabtable Self-driving CarsHey fellow tech enthusiasts. Are you contemplating and envisioning your autonomous vehicle on the road being able to be adjust, adapt as…Oct 23, 2023Oct 23, 2023