@rahullokurte

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Understanding Token and Positional Embeddings in Transformers

Nov 18, 2024 · 4 min read · Transformers, 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...

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Overview of RAG

Nov 13, 2024 · 4 min read · When 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...

Basics of Retrieval Augmented Generation

Nov 11, 2024 · 3 min read · In 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...

Managing Concurrent Writes and Object Locking in Amazon S3: Strategies and Best Practices

Sep 3, 2024 · 5 min read · Amazon 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...

Saga Pattern using AWS Step Functions

May 4, 2024 · 5 min read · When 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...