SharifiZarchi/Introduction_to_Machine_Learning
Nov 2024 – Dec 2024
2 Months active
Languages Used
LaTeX
Technical Skills
Machine Learning ConceptsNatural Language ProcessingPresentation DevelopmentTechnical DocumentationTechnical Writing
unknown
PROFILE
Unknown
Developed and delivered two educational features for the SharifiZarchi/Introduction_to_Machine_Learning repository, focusing on foundational and advanced concepts in large language models. Built a comprehensive LaTeX slide deck covering LLM fundamentals and parameter-efficient fine-tuning techniques such as Adapters, LoRA, and ULMFiT, supporting onboarding and project scoping for machine learning teams. Enhanced the presentation with updated images and revised text to improve clarity and coverage of LLM architectures. Applied machine learning concepts, natural language processing, and technical writing skills to create reusable, well-documented materials that facilitate knowledge transfer and serve as a centralized resource for future AI education initiatives.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
1,029
Activity Months2
Your Network
21 peopleShared Repositories
21
Work History
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024: Delivered an enhanced Large Language Models (LLM) presentation slide in the SharifiZarchi/Introduction_to_Machine_Learning repository. Updated the LaTeX slide with new images and revised text to provide a more comprehensive overview of LLM concepts and architectures.
1 Commits • 1 Features
Dec 1, 2024December 2024: Delivered an enhanced Large Language Models (LLM) presentation slide in the SharifiZarchi/Introduction_to_Machine_Learning repository. Updated the LaTeX slide with new images and revised text to provide a more comprehensive overview of LLM concepts and architectures.
December 2024
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly delivery: Created and delivered the LLM Foundations and PEFT Slide Deck in the SharifiZarchi/Introduction_to_Machine_Learning repo. The deck covers foundational concepts of language models, specifics of LLMs, and parameter-efficient fine-tuning (PEFT) techniques including Adapters, Compacters, BitFit, LoRA, QLoRA, Prefix Tuning, and ULMFiT, with visuals and references to support onboarding, stakeholder communication, and project scoping.
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly delivery: Created and delivered the LLM Foundations and PEFT Slide Deck in the SharifiZarchi/Introduction_to_Machine_Learning repo. The deck covers foundational concepts of language models, specifics of LLMs, and parameter-efficient fine-tuning (PEFT) techniques including Adapters, Compacters, BitFit, LoRA, QLoRA, Prefix Tuning, and ULMFiT, with visuals and references to support onboarding, stakeholder communication, and project scoping.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
LaTeX
Technical Skills
Machine Learning ConceptsNatural Language ProcessingPresentation DevelopmentTechnical DocumentationTechnical Writing
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