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Jayasri (@JayasriJ) | Hashnode

@JayasriJ

Jayasri

@JayasriJ·Joined August 2024

ML Engineer (GenAI)

About

I'm currently working as ML Engineer (GenAI) with 2.5+ years experience in building End to End AI Systems for startups

Available for

Mentoring, Consultations, Workshops, Training Academia & Companies

Jayasri's blogs

AI Focusedj-jayasri.hashnode.dev8 posts

About

I'm currently working as ML Engineer (GenAI) with 2.5+ years experience in building End to End AI Systems for startups

Available for

Mentoring, Consultations, Workshops, Training Academia & Companies

Jayasri's blogs

AI Focusedj-jayasri.hashnode.dev8 posts

Articles Comments

Recently published

JJayasriinj-jayasri.hashnode.dev·Apr 16, 2025 · 6 min read

LLM Pre-Training in GenAI

In this series, we’ll explore everything about pre-training in the Generative AI (GenAI) pipeline — including how models are trained based on specific objectives or goals, and how to design an effective pre-training pipeline. But before diving into ...

JJayasriinj-jayasri.hashnode.dev·Apr 16, 2025 · 4 min read

RAG: 1.Basics

Problems with Generative/FineTuning Approach: Inefficient Data Updates: Adding new data typically requires extensive retraining or fine-tuning, which can be both time-consuming and computationally expensive. Outdated Information: Generative mod...

JJayasriinj-jayasri.hashnode.dev·Sep 13, 2024 · 2 min read

Exploring Encoder & Decoder Types

An Encoder-Decoder is a neural network architecture primarily used in sequence-to-sequence (seq2seq) tasks where input and output sequences can have different lengths. The model consists of two parts: Encoder: Processes the input sequence and compre...

JJayasriinj-jayasri.hashnode.dev·Aug 28, 2024 · 3 min read

GenAI Model Series: Basics

In this article, we will explore only the basic models required to understand GenAI Comparison Table: ModelWhy It's UsedFeaturesLimitations 1. RNN (Recurrent Neural Network)To handle sequential data by maintaining a hidden state that captur...

JJayasriinj-jayasri.hashnode.dev·Aug 19, 2024 · 8 min read

Tokenization Simplified: Part-2

This article covers the rest of the tokenization techniques, if you didn't get a chance to see part 1, it is here Types of Tokenization Techniques: Unigram Language Model: It is a probabilistic model that uses individual tokens (subwords or words)...