Understanding Token and Positional Embeddings in TransformersTransformers, the backbone of many state-of-the-art NLP models such as BERT, GPT has revolutionized the way we approach natural language understanding tasks. One key innovation in transformers is their ability to handle entire sequences of tokens sim...4 min read·rahullokurte.com1JNov 18, 2024
Overview of RAGWhen an User prompts the questions to the LLM, it produces the response based on the training data. The pre-trained LLM data is its parametric data. It might not have an context specific to our query. LLM still produces an answer confidently. It is t...4 min read·rahullokurte.comNov 13, 2024
Basics of Retrieval Augmented GenerationIn the fast-evolving field of artificial intelligence, Large Language Models (LLMs) have rapidly transformed how we approach language processing. These models, such as ChatGPT, Claude, and Bard, have proven their utility across a range of application...3 min read·rahullokurte.comNov 11, 2024
Managing Concurrent Writes and Object Locking in Amazon S3: Strategies and Best PracticesManage concurrent writes and ensure data consistency in Amazon S3 using application-level locking, versioning, pre-signed URLs, and object lock5 min read·rahullokurte.comSep 3, 2024
Saga Pattern using AWS Step FunctionsWhen working with distributed systems in a microservice architecture, we must always architect our services with failure in mind. When the transaction happens between a microservice, we have to handle the failures. The Saga pattern can be used in a f...5 min read·rahullokurte.comMay 4, 2024