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#Parameter-Efficient Fine-Tuning

Showing: 40 courses
MLOps World: Machine Learning in Production

Finetuning a Large Language Model on a Custom Dataset

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Discover parameter-efficient finetuning techniques and optimizations for large language models using custom datasets, enhancing model performance at scale.
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1 Lesons
59 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation - M2.6

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Explore efficient multimodal representation adaptation for sequential recommendations using decoupled PEFT in this innovative research presentation.
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1 Lesons
14 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications - Lecture 1

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Explore parameter-efficient fine-tuning techniques for multi-task medical applications using Mixture of Experts and Large Language Models.
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1 Lesons
14 minutes
On-Demand
Free-Video
Anyscale

Fine-Tuning Large Language Models at Scale - Workday's Approach

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Dive into Workday's innovative approach to fine-tuning LLMs securely in a multi-tenant environment, addressing GPU scarcity and data access controls using PEFT techniques and KubeRay's autoscaling capabilities.
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1 Lesons
31 minutes
On-Demand
Free-Video
CodeEmporium

LoRA - Low Rank Adaptation for Parameter Efficient Fine-Tuning

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Dive into parameter-efficient fine-tuning with LoRA, exploring low-rank matrices, adapters, and techniques to optimize neural network storage and performance while maintaining accuracy.
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8 Lesons
29 minutes
On-Demand
Free-Video
Discover AI

Coding RLHF on LLama 2 with LoRA, 4-bit Quantization, TRL and DPO

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Master advanced LLM fine-tuning techniques using RLHF, implementing DPO and PPO methods on Llama models with 4-bit quantization and LoRA for optimized performance and human feedback integration.
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1 Lesons
36 minutes
On-Demand
Free-Video
AI Bites

Fine-tuning Gemma Models with PEFT and LoRA Using HuggingFace Datasets

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Master parameter-efficient fine-tuning techniques for Gemma 2B model using PEFT and LoRA, with hands-on code implementation and custom dataset creation for optimized model training.
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9 Lesons
24 minutes
On-Demand
Free-Video
Discover AI

Understanding 4-bit Quantization and QLoRA - Memory Efficient Fine-tuning of LLMs

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Dive into memory-efficient fine-tuning of large language models through 4-bit quantization and QLoRA, combining theoretical foundations with practical implementation in Colab.
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1 Lesons
42 minutes
On-Demand
Free-Video
Discover AI

Parameter Efficient Fine-Tuning with Multiple LoRA Adapters for Large Language Models

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Dive into parameter efficient fine-tuning with LoRA adapters, exploring matrix factorization, SVD, and advanced configurations for optimizing large language models.
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1 Lesons
47 minutes
On-Demand
Free-Video
Discover AI

LLama 2 and PEFT Documentation - Building Interactive LLM with Retrieval Augmented Generation

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Master building a RAG-enhanced LLM system using Llama 2 through hands-on coding. Learn web scraping, embedding generation, vector indexing, and semantic search to create an AI that leverages external knowledge sources.
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1 Lesons
52 minutes
On-Demand
Free-Video
Discover AI

Fine-tuning LLama 2 with PEFT, LoRA, 4-bit Quantization, TRL and SFT

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Master advanced LLama2 fine-tuning techniques using PEFT, LoRA, and 4-bit quantization while creating synthetic datasets with GPT-4 for customized model training.
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1 Lesons
15 minutes
On-Demand
Free-Video
Discover AI

Stanford ALPACA 7B LLM: Fine-tuning Guide with Code and Datasets

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Discover how to fine-tune and implement Stanford's ALPACA 7B language model using LLaMA, exploring practical applications and cost-effective methods for creating custom AI solutions.
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1 Lesons
20 minutes
On-Demand
Free-Video
Discover AI

Fine-tuning Vision Language Models with PaLiGemma-3B - A Practical Guide

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Master fine-tuning techniques for Vision Language Models using PyTorch and JAX FLAX, with practical examples for PaliGemma-3B implementation on free compute platforms like Google Colab and Vertex AI.
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1 Lesons
14 minutes
On-Demand
Free-Video
Discover AI

Optimizing LLM Fine-Tuning with PEFT and LoRA Adapter-Tuning for GPU Performance

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Master efficient fine-tuning of large language models using PEFT and LoRA techniques, optimizing GPU memory usage through INT8 quantization and adapter-tuning for cost-effective model development.
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15 Lesons
35 minutes
On-Demand
Free-Video
Discover AI

Parameter-Efficient Fine-Tuning with LoRA - Optimizing LLMs for Local GPU Training

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Master PEFT LoRA techniques to efficiently fine-tune large language models on local GPUs through low-rank adaptation, reducing memory requirements while maintaining model performance.
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17 Lesons
41 minutes
On-Demand
Free-Video
Discover AI

Fine-Tuning Code Language Models - A Practical Guide

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Master the process of fine-tuning Code LLMs using instruction datasets, from environment setup to implementation, with hands-on demonstrations using StarCoder and practical GPU requirements guidance.
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8 Lesons
22 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Modular and Composable Transfer Learning

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Explore parameter-efficient transfer learning with adapters, enabling modular and composable fine-tuning for improved task performance and cross-lingual generalization in transformer-based models.
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1 Lesons
1 hour 13 minutes
On-Demand
Free-Video
Sam Witteveen

Fine-Tuning LLMs with PEFT and LoRA

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Explore efficient fine-tuning of large language models using PEFT and LoRA techniques, with a focus on practical implementation and uploading to HuggingFace Hub.
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7 Lesons
16 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Building Better Language Models - Paradigms and Techniques

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Explore advanced techniques for building and improving language models, covering paradigms, zero-shot learning, and multitask prompted training.
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23 Lesons
56 minutes
On-Demand
Free-Video
Generative AI on AWS

Generative AI and Large Language Models: Fine-tuning with SageMaker, PEFT, RLHF and PPO

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Master advanced LLM fine-tuning techniques using Amazon SageMaker, exploring PEFT, RLHF, and PPO methodologies for optimized AI model performance and customization.
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1 Lesons
2 hours 32 minutes
On-Demand
Free-Video
EuroPython Conference

Fine-tuning Large Models on Local Hardware Using PEFT and Quantization

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Explore Parameter-Efficient Fine-Tuning (PEFT) and quantization techniques to train large neural networks on modest hardware using the PEFT library and Hugging Face ecosystem.
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1 Lesons
28 minutes
On-Demand
Free-Video
Discover AI

Spectral Analysis of LoRA vs Full Fine-Tuning in Language Models

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Delve into the technical comparison between LoRA and full fine-tuning methods for language models, exploring their structural differences, spectral properties, and impact on model performance.
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10 Lesons
28 minutes
On-Demand
Free-Video
HOTI - Hot Interconnects Symposium

Characterizing Communication in Distributed Parameter-Efficient Fine-Tuning for LLMs

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Explore communication patterns and optimization techniques in distributed parameter-efficient fine-tuning for Large Language Models, focusing on network performance and scalability challenges.
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1 Lesons
29 minutes
On-Demand
Free-Video
SK AI SUMMIT 2024

RAG vs PEFT - Comparing LLM Domain Adaptation Methods

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Delve into LLM 도메인 적용을 위한 RAG와 PEFT 방식의 비교 분석과 SK브로드밴드의 실제 구현 사례를 통한 AWS 환경 구축 및 모델 개발 노하우
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1 Lesons
24 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Prompt Optimization and Parameter Efficient Fine Tuning for Large Language Models

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Explore state-of-the-art prompt optimization techniques and parameter efficient fine-tuning methods for large language models to enhance performance on various tasks.
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1 Lesons
28 minutes
On-Demand
Free-Video
Shaw Talebi

Fine-tuning Large Language Models (LLMs) with Example Code

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Learn to fine-tune large language models with practical Python examples. Explore techniques like LoRA for efficient parameter tuning and implement a text classification model using distilBERT.
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13 Lesons
28 minutes
On-Demand
Free-Video
Snorkel AI

Fine-Tuning and Customizing LLMs for Enterprise Tasks

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Explore LLM fine-tuning techniques for enterprise-specific tasks. Learn about data quality, customization methods, and the trend towards task-specific models in organizational AI implementation.
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14 Lesons
22 minutes
On-Demand
Free-Video
CodeEmporium

LLM Fine-Tuning - Explained

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Explore parameter efficient fine-tuning techniques for large language models, including adapters, prefix-tuning, and LoRA. Learn their importance, implementation details, and performance evaluation.
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8 Lesons
23 minutes
On-Demand
Free-Video
MLOps.community

End-to-end Modern Machine Learning in Production - Part 2

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Explore RLHF, efficient training techniques, on-device ML, and optimizations in modern machine learning production with insights from a Hugging Face lead engineer.
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1 Lesons
11 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps: Fine-tuning Mistral 7B with PEFT, QLora, and MLFlow

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Fine-tune Mistral 7B using PEFT, QLora, and MLFlow techniques. Master advanced LLM optimization for improved performance and efficiency.
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1 Lesons
28 minutes
On-Demand
Free-Video
Anyscale

Lessons From Fine-Tuning Llama-2

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Explore insights from fine-tuning Llama-2 for specialized applications. Learn setup, infrastructure, and efficiency techniques to outperform GPT-4 in specific scenarios using Anyscale and Ray.
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1 Lesons
29 minutes
On-Demand
Free-Video
UofU Data Science

Parameter-Efficient Finetuning - QLoRA and LoRA Methods

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Explore parameter-efficient fine-tuning techniques with LoRA and QLoRA, learning how to optimize large language models while maintaining performance and reducing computational costs.
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1 Lesons
48 minutes
On-Demand
Free-Video
MIT HAN Lab

LLM Post-Training - Lecture 14

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Dive into advanced LLM post-training techniques and methodologies with Prof. Song Han, exploring efficient machine learning strategies for optimizing large language models.
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1 Lesons
1 hour 18 minutes
On-Demand
Free-Video
MIT HAN Lab

Efficient Fine-tuning and Prompt Engineering - Lecture 20

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Explore efficient fine-tuning techniques and prompt engineering strategies for optimizing large language models in machine learning applications.
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1 Lesons
1 hour 17 minutes
On-Demand
Free-Video
MIT HAN Lab

Efficient Fine-tuning and Prompt Engineering - Lecture 20

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Explore efficient fine-tuning techniques and prompt engineering strategies for optimizing large language models in machine learning applications.
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1 Lesons
1 hour 18 minutes
On-Demand
Free-Video
ChemicalQDevice

Meta Llama 3 for Drug Discovery - Generative AI Assistant Developments

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Explore advanced techniques for modifying Meta Llama 3 for drug discovery, including fine-tuning, RAG implementation, and agentic behavior enhancement for improved accuracy and capabilities.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Unify

ReFT: Representation Finetuning for Language Models Explained

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Explore ReFT, a novel approach to fine-tuning language models by modifying internal representations, achieving efficiency with fewer parameters than traditional methods.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
MLOps.community

The Next Million AI Apps - Developing Custom Models for Specialized Tasks

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Develop custom AI models using fine-tuning and data-driven techniques to create differentiated products solving previously unattainable problems.
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21 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Discover AI

Fourier-Enhanced Fine-Tuning Vision Language Models Using PEFT-VFPT

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Discover how Visual Fourier Prompt Tuning revolutionizes vision model fine-tuning by integrating Fast Fourier Transform, enhancing adaptability and accuracy while using minimal trainable parameters.
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1 Lesons
27 minutes
On-Demand
Free-Video
Canonical Ubuntu

End-to-end Generative AI Workflows for Developers

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Discover how to deploy and scale Meta Llama 3.1 models using NVIDIA NIM, KServe, and PEFT techniques in a Kubernetes environment, with practical demonstrations of enterprise-grade AI workflows.
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1 Lesons
31 minutes
On-Demand
Free-Video