Awaliyatul Hikmah

A passionate software engineer with a strong expertise in web development and deep learning, particularly in the field of Natural Language Processing (NLP).

Jakarta, Indonesia Joined on May 5, 2023 https://ahikmah.com

Awaliyatul Hikmah

Dec 12 '24

Breaking Down Cost Functions in Linear Regression: A Conceptual Overview

#machinelearning #linearregression #supervisedlearning #costfunction

11 min read

Awaliyatul Hikmah

Dec 1 '24

Understanding Supervised Learning: The Basics of Linear Regression

#machinelearning #linearregression #supervisedlearning

4 min read

Awaliyatul Hikmah

Dec 1 '24

Fine-Tuning vs. Retrieval-Augmented Generation (RAG): Enhancing LLMs for Specific Tasks

#llm #rag #finetuning

2 min read

Awaliyatul Hikmah

Dec 1 '24

Fine-Tuning LLM: Transforming General Models into Specialized Experts

#llm #finetuning

2 min read

Awaliyatul Hikmah

Dec 1 '24

Enhancing Language Models with Retrieval-Augmented Generation (RAG)

#genai #llm #rag

3 min read

Awaliyatul Hikmah

Dec 1 '24

Limitations of Large Language Models: Unpacking the Challenges

#genai #llm

3 min read

Awaliyatul Hikmah

Dec 1 '24

How to Automounting Your VHDX on Windows 11 Without Mount-DiskImage Command

#productivity #windows

2 min read

Awaliyatul Hikmah

Nov 28 '24

Understanding the Evolution of Word Representation: Static vs. Dynamic Embeddings

#nlp #machinelearning #wordembedding #llm

2 min read

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Awaliyatul Hikmah

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Breaking Down Cost Functions in Linear Regression: A Conceptual Overview

Understanding Supervised Learning: The Basics of Linear Regression

Fine-Tuning vs. Retrieval-Augmented Generation (RAG): Enhancing LLMs for Specific Tasks

Fine-Tuning LLM: Transforming General Models into Specialized Experts

Enhancing Language Models with Retrieval-Augmented Generation (RAG)

Limitations of Large Language Models: Unpacking the Challenges

How to Automounting Your VHDX on Windows 11 Without Mount-DiskImage Command

Understanding the Evolution of Word Representation: Static vs. Dynamic Embeddings