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...1JNov 18, 2024 · 4 min readrahullokurte.com
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...Nov 13, 2024 · 4 min readrahullokurte.com
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...Nov 11, 2024 · 3 min readrahullokurte.com
Managing Concurrent Writes and Object Locking in Amazon S3: Strategies and Best PracticesAmazon S3 is a powerful, scalable storage service, but when multiple clients or processes attempt to write to the same S3 object simultaneously, things can get tricky. Since S3 doesn’t natively handle concurrent writes or provide object locking, it’s...Sep 3, 2024 · 5 min readrahullokurte.com
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...May 4, 2024 · 5 min readrahullokurte.com