Data Science Current

PyTorch Introduces torchtune: Simplifying LLM Fine-Tuning

Analytics Vidhya

APRIL 17, 2024

PyTorch has unveiled torchtune, a new PyTorch-native library aimed at streamlining the process of fine-tuning large language models (LLMs). Also Read: Pytorch […] The post PyTorch Introduces torchtune: Simplifying LLM Fine-Tuning appeared first on Analytics Vidhya.

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Fine-tuning Google Gemma with Unsloth

Analytics Vidhya

APRIL 21, 2024

This is where Google Gemma, an Open Source Large Language Model comes into […] The post Fine-tuning Google Gemma with Unsloth appeared first on Analytics Vidhya.

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Ludwig: A Comprehensive Guide to LLM Fine Tuning using LoRA

Analytics Vidhya

MAY 8, 2024

However, to fully utilize their capabilities, they need to be fine-tuned for specific use cases. Ludwig, a low-code framework, is designed […] The post Ludwig: A Comprehensive Guide to LLM Fine Tuning using LoRA appeared first on Analytics Vidhya.

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How to Optimize the Developer Experience for Monumental Impact

Generative AI Deep Dive: Advancing from Proof of Concept to Production

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Leading the Development of Profitable and Sustainable Products

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

January 18th, 2023 at 9:30am PST, 12:30pm EST, 5:30pm GMT

AI

Fine-Tune Your LLMs or Face AI Failure

insideBIGDATA

MARCH 11, 2024

In this contributed artticle, Dr. Muddu Sudhakar, CEO and Co-founder of Aisera, focuses on the downsides of general-purpose Gen AI platforms and why enterprises can derive more value from a fine-tuned model approach.

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PyTorch’s TorchTune: Revolutionizing LLM Fine-Tuning

Analytics Vidhya

APRIL 19, 2024

However, fine-tuning these powerful models for specific tasks can be a complex and resource-intensive endeavor. PyTorch released the alpha tourchtune, a PyTorch native library […] The post PyTorch’s TorchTune: Revolutionizing LLM Fine-Tuning appeared first on Analytics Vidhya.

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Fine-tune Llama 3 using Direct Preference Optimization

Analytics Vidhya

MAY 2, 2024

This article focuses on RLHF methods and […] The post Fine-tune Llama 3 using Direct Preference Optimization appeared first on Analytics Vidhya. To improve performance, algorithms like Reinforcement Learning with Human Feedback and Direct Preference Optimization (DPO) can be used.

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Introducing Aloe: A Family of Fine-tuned Open Healthcare LLMs

Analytics Vidhya

MAY 8, 2024

Despite these advances, challenges such as restricted access […] The post Introducing Aloe: A Family of Fine-tuned Open Healthcare LLMs appeared first on Analytics Vidhya. The latest addition to this domain is the Aloe family of LLMs, which expands access to medical knowledge and refines the precision of online health data.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order.

Data Science

Enhancing RAG with Retrieval Augmented Fine-tuning

Analytics Vidhya

APRIL 11, 2024

Another missing piece is not getting exact source of the answer, […] The post Enhancing RAG with Retrieval Augmented Fine-tuning appeared first on Analytics Vidhya. data that is not indexed by search engines).

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Automated Fine-Tuning of LLAMA2 Models on Gradient AI Cloud

Analytics Vidhya

JANUARY 24, 2024

However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP). This paper explored models using fine-tuning and transfer learning. In the old days, transfer learning was a concept mostly used in deep learning.

Natural Language Processing

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The Best Strategies for Fine-Tuning Large Language Models

KDnuggets

MAY 15, 2024

Learn how to master the art of fine-tuning LLMs for specialized tasks.

Guide to Fine-tuning Gemini for Masking PII Data

Analytics Vidhya

MARCH 30, 2024

However, despite […] The post Guide to Fine-tuning Gemini for Masking PII Data appeared first on Analytics Vidhya. LLMs are versatile, capable of handling tasks such as Text Classification, Summarization, Sentiment Analysis, and Topic Modelling, owing to their extensive pre-training.

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How To Fine-Tune ChatGPT 3.5 Turbo

KDnuggets

OCTOBER 16, 2023

This article has outlined how you can fine tune your GPT 3.5 You can do this by preparing your data, uploading your files, and then setting up a custom OpenAI session to handle the fine tuning. Turbo models.

SQL Generation in Text2SQL with TinyLlama’s LLM Fine-tuning

Analytics Vidhya

FEBRUARY 8, 2024

This is where TinyLlama, […] The post SQL Generation in Text2SQL with TinyLlama’s LLM Fine-tuning appeared first on Analytics Vidhya. The ability to transform a simple English question into a complex SQL query opens up numerous possibilities in database management and data analysis.

SQL

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Fine-tuning LLMs 101: Boosting model expertise and efficiency

Data Science Dojo

SEPTEMBER 1, 2023

Fine-tuning LLMs, or Large Language Models, involves adjusting the model’s parameters to suit a specific task by training it on relevant data, making it a powerful technique to enhance model performance. When faced with a task beyond their abilities, fine-tuning is an option. Makes LLMs more efficient to train.

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Fine-tuning A Tiny-Llama Model with Unsloth

Analytics Vidhya

FEBRUARY 2, 2024

However, these models are too large to be used in consumer hardware. […] The post Fine-tuning A Tiny-Llama Model with Unsloth appeared first on Analytics Vidhya. Since then, multiple models have been released based on Llama and Mistral architecture, performing on par with proprietary models like GPT-3.5

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Harnessing NLP Superpowers: A Step-by-Step Hugging Face Fine Tuning Tutorial

Analytics Vidhya

OCTOBER 16, 2023

Introduction Fine-tuning a natural language processing (NLP) model entails altering the model’s hyperparameters and architecture and typically adjusting the dataset to enhance the model’s performance on a given task.

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LLM Fine Tuning with PEFT Techniques

Analytics Vidhya

OCTOBER 9, 2023

Let’s embark on a journey to understand the intricacies of fine-tuning […] The post LLM Fine Tuning with PEFT Techniques appeared first on Analytics Vidhya. They are powerful AI systems designed to generate human-like text and comprehend and respond to natural language inputs.

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Fine-Tuning, Retraining, and Beyond: Advancing with Custom LLMs

Analytics Vidhya

OCTOBER 16, 2023

It’s like learning to swim by jumping […] The post Fine-Tuning, Retraining, and Beyond: Advancing with Custom LLMs appeared first on Analytics Vidhya. That’s great because you’ve taken your first step on a journey we’re about to embark on in this article!

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Fast and Cheap Fine-Tuned LLM Inference with LoRA Exchange (LoRAX)

Machine Learning Mastery

NOVEMBER 1, 2023

Sponsored Content By Travis Addair & Geoffrey Angus If you’d like to learn more about how to efficiently and cost-effectively fine-tune and serve open-source LLMs with LoRAX, join our November 7th webinar.

Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Hacker News

MAY 10, 2024

When large language models are aligned via supervised fine-tuning, they may encounter new factual information that was not acquired through pre-training. In this work, we study the impact of such exposure to new knowledge on the capability of the fine-tuned model to utilize its pre-existing knowledge.

Revolutionize LLM with Llama 2 fine-tuning

Data Science Dojo

OCTOBER 1, 2023

Libraries like LangChain and LlamaIndex played crucial roles in this evolution. As we move into the latter part of the year, fine-tuning or instruction tuning of these models is becoming a standard practice in the LLMOps workflow.

Machine Learning

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OpenAI Unleashes Custom Power with GPT-3.5 Turbo’s Fine-Tuning

Analytics Vidhya

AUGUST 24, 2023

Turbo, bringing the power of fine-tuning to the forefront. Turbo’s Fine-Tuning appeared first on Analytics Vidhya. In the ever-evolving world of artificial intelligence, OpenAI has unleashed a game-changing update that’s set to redefine how we interact with machines. The new kid on the block is GPT-3.5

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Adapting BERT Through Fine-tuning For Downstream Tasks

Analytics Vidhya

AUGUST 2, 2023

This technique allows the model to learn dependent on the task details from the data used for training while drawing on the knowledge of […] The post Adapting BERT Through Fine-tuning For Downstream Tasks appeared first on Analytics Vidhya.

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A Comprehensive Guide to Fine-Tuning Large Language Models

Analytics Vidhya

AUGUST 2, 2023

But […] The post A Comprehensive Guide to Fine-Tuning Large Language Models appeared first on Analytics Vidhya. These sophisticated models have opened the doors to a wide array of applications, ranging from language translation to sentiment analysis and even the creation of intelligent chatbots.

Natural Language Processing

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LLMs: RAG vs. Fine-Tuning

Hacker News

MARCH 18, 2024

When should you fine-tune? When should you use retrieval augmented generation (RAG)? Find out when and why and how to incorporate knowledge into LLMs.

Parameter-Efficient Fine-Tuning of Large Language Models with LoRA and QLoRA

Analytics Vidhya

AUGUST 26, 2023

Overview As we delve deeper into the world of Parameter-Efficient Fine-Tuning (PEFT), it becomes essential to understand the driving forces and methodologies behind this transformative approach. In this article, we will explore how PEFT methods optimize the adaptation of Large Language Models (LLMs) to specific tasks.

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Overview of PEFT: State-of-the-art Parameter-Efficient Fine-Tuning

KDnuggets

OCTOBER 26, 2023

Learn how Parameter-Efficient Fine-Tuning techniques like LoRA enable efficient adaptation of large language models using limited compute resources.

Machine Learning

Machine Learning Machine Learning

OpenAI expands fine-tuning for tailored AI models

Dataconomy

APRIL 8, 2024

In a major step toward creating more tailored artificial intelligence solutions, OpenAI recently unveiled significant upgrades to its fine-tuning API, in addition to broadening its custom models initiative. fine-tuning API has revolutionized the way organizations tailor AI models for unique applications.

AI

AI AI Artificial Intelligence Artificial Intelligence

Mistral 7B-V0.2: Fine-Tuning Mistral’s New Open-Source LLM with Hugging Face

KDnuggets

APRIL 8, 2024

Access Mistral’s latest open-source model and fine-tune it on a custom dataset.

Fine-Tuning Increases LLM Vulnerabilities and Risk

Hacker News

APRIL 11, 2024

For specialized use cases, these foundational LLMs are subjected to fine-tuning or quantization for better performance and efficiency. We examine the impact of downstream tasks such as fine-tuning and quantization on LLM vulnerability. We test foundation models like Mistral, Llama, MosaicML, and their fine-tuned versions.

Fine Tuning LLAMAv2 with QLora on Google Colab for Free

KDnuggets

SEPTEMBER 20, 2023

Learn how to fine-tune one of the most influential open-source models for free on Google Colab.

Natural Language Processing

Transfer Learning for NLP: Fine-Tuning BERT for Text Classification

Analytics Vidhya

JULY 20, 2020

The post Transfer Learning for NLP: Fine-Tuning BERT for Text Classification appeared first on Analytics Vidhya. Introduction With the advancement in deep learning, neural network architectures like recurrent neural networks (RNN and LSTM) and convolutional neural networks (CNN) have shown.

Deep Learning

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Analyzing Scientific Articles with fine-tuned SciBERT NER Model and Neo4j

KDnuggets

DECEMBER 9, 2021

In this article, we will be analyzing a dataset of scientific abstracts using the Neo4j Graph database and a fine-tuned SciBERT model.

Database

Database Analytics Analytics Python

Fine-tune BERT Model for Sentiment Analysis in Google Colab

Analytics Vidhya

DECEMBER 28, 2021

This article was published as a part of the Data Science Blogathon Objective In this blog, we will learn how to Fine-tune a Pre-trained BERT model for the Sentiment analysis task. The post Fine-tune BERT Model for Sentiment Analysis in Google Colab appeared first on Analytics Vidhya.

Data Science

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Mistral 7B Fine-Tune Optimized

Hacker News

DECEMBER 20, 2023

Convert expensive LLM prompts into fast, cheap fine-tuned models

Fine-Tuning BERT for Tweets Classification with HuggingFace

KDnuggets

JANUARY 28, 2022

In this blog, we used the Hugging Face library to fine-tune BERT on the classification task. We classified tweets related to COVID.

Natural Language Processing

Video Highlights: Fine Tune GPT-J 6B in Under 3 Hours on IPUs

insideBIGDATA

JUNE 3, 2023

Following the now infamous leaked Google memo, there's been a real storm in the AI world recently around smaller, open source language models, like GPT-J, that are cheaper and faster to fine-tune, run and perform just as well as larger models for many language tasks.

AI

AI AI Deep Learning Deep Learning

Fast Llama 2 on CPUs with Sparse Fine-Tuning and DeepSparse

Hacker News

NOVEMBER 22, 2023

Key Takeaways We expanded our Sparse Fine-Tuning research results to include Llama 2. The results include 60% sparsity with INT8 quantization and no drop in accuracy. DeepSparse now supports accelerated inference of sparse-quantized Llama 2 models, with inference speeds 6-8x faster over the baseline at 60-80% sparsity.

Algorithm

Our humble attempt at “how much data do you need to fine-tune”

Hacker News

SEPTEMBER 24, 2023

Efficacy of OpenAI Fine-tuning API, Cost/Latency Considerations, Experiencing Catastrophic Forgetting, and.Getting Roasted by a Fine-tuned GPT-3.5

A simulation of me: fine-tuning an LLM on 240k text messages

Hacker News

JANUARY 2, 2024

Armed with a download of my 240,000 text message and Whatsapp history, I was able to fine-tune an LLM to create convincing conversations

Fine-Tuning LLMs: Use Case Examples

Towards AI

FEBRUARY 24, 2024

I totally agree with that statement, and this article will show you how to apply this paradigm to LLMs by fine-tuning and specializing them to do only one task. Last Updated on February 24, 2024 by Editorial Team Author(s): Leo Tisljaric, PhD Originally published on Towards AI.

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PyTorch Introduces torchtune: Simplifying LLM Fine-Tuning

Fine-tuning Google Gemma with Unsloth

Webinars

Trending Sources

Ludwig: A Comprehensive Guide to LLM Fine Tuning using LoRA

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Top 9 Fine-tuning Interview Questions and Answers

LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Fine-Tune Your LLMs or Face AI Failure

PyTorch’s TorchTune: Revolutionizing LLM Fine-Tuning

Fine-tune Llama 3 using Direct Preference Optimization

Introducing Aloe: A Family of Fine-tuned Open Healthcare LLMs

LLMs in Production: Tooling, Process, and Team Structure

Enhancing RAG with Retrieval Augmented Fine-tuning

Automated Fine-Tuning of LLAMA2 Models on Gradient AI Cloud

The Best Strategies for Fine-Tuning Large Language Models

Guide to Fine-tuning Gemini for Masking PII Data

How To Fine-Tune ChatGPT 3.5 Turbo

SQL Generation in Text2SQL with TinyLlama’s LLM Fine-tuning

Fine-tuning LLMs 101: Boosting model expertise and efficiency

Fine-tuning A Tiny-Llama Model with Unsloth

Harnessing NLP Superpowers: A Step-by-Step Hugging Face Fine Tuning Tutorial

LLM Fine Tuning with PEFT Techniques

Fine-Tuning, Retraining, and Beyond: Advancing with Custom LLMs

Fast and Cheap Fine-Tuned LLM Inference with LoRA Exchange (LoRAX)

Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Revolutionize LLM with Llama 2 fine-tuning

OpenAI Unleashes Custom Power with GPT-3.5 Turbo’s Fine-Tuning

Adapting BERT Through Fine-tuning For Downstream Tasks

A Comprehensive Guide to Fine-Tuning Large Language Models

LLMs: RAG vs. Fine-Tuning

Parameter-Efficient Fine-Tuning of Large Language Models with LoRA and QLoRA

Overview of PEFT: State-of-the-art Parameter-Efficient Fine-Tuning

OpenAI expands fine-tuning for tailored AI models

Mistral 7B-V0.2: Fine-Tuning Mistral’s New Open-Source LLM with Hugging Face

Fine-Tuning Increases LLM Vulnerabilities and Risk

Fine Tuning LLAMAv2 with QLora on Google Colab for Free

Transfer Learning for NLP: Fine-Tuning BERT for Text Classification

Analyzing Scientific Articles with fine-tuned SciBERT NER Model and Neo4j

Fine-tune BERT Model for Sentiment Analysis in Google Colab

Mistral 7B Fine-Tune Optimized

Fine-Tuning BERT for Tweets Classification with HuggingFace

Video Highlights: Fine Tune GPT-J 6B in Under 3 Hours on IPUs

Fast Llama 2 on CPUs with Sparse Fine-Tuning and DeepSparse

Our humble attempt at “how much data do you need to fine-tune”

A simulation of me: fine-tuning an LLM on 240k text messages

Fine-Tuning LLMs: Use Case Examples

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