The most comprehensive overview of Instruction Tuning for large language models: from data sets to technical analysis - Code World

The most comprehensive overview of Instruction Tuning for large language models: from data sets to technical analysis

Enterprise 2023-09-06 03:24:48 views: null

NoSuchKey

Guess you like

Origin blog.csdn.net/sinat_37574187/article/details/132518045

The most comprehensive overview of Instruction Tuning for large language models: from data sets to technical analysis

A Comprehensive Overview of Large Language Models | A Comprehensive Overview of Large Language Models

Paper: Translation and Interpretation of "Instruction Tuning for Large Language Models: A Survey—A Survey of Instruction Tuning for Large Language Models"

Decoding the Power of Large Language Models: A Comprehensive Guide from Understanding to Application

Instruction Mining:High-Quality Instruction Data Selection for Large Language Models

A new review of large-scale language models: the most comprehensive inventory from T5 to GPT-4, co-written by more than 20 domestic researchers...

A new review of large-scale language models: the most comprehensive inventory from T5 to GPT-4, co-authored by more than 20 domestic researchers

Transformer is going to take over the earth, the most comprehensive inventory of large language models!

Qubit Series Column "The Most "In" Large Model"｜Analysis & Outlook of Large Models from a New Perspective

Overview of large language models (6) Model use

[Instruction fine-tuning of LLM series] Long story short, "Prompt" for instruction fine-tuning of large models

Collection and organization of data sets for large models

From instruction fine-tuning to mathematical reasoning capabilities, explore the potential of large models | The 11th issue of the large model series activities on September 14

Review | The most comprehensive review of multimodal large models is here!

Lessons learned from GPT and large language models

R language strategies for processing large data sets

Practical tips for fine-tuning large language models with LoRA

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

[C language] In-depth understanding of C language data types: a comprehensive analysis from structures to unions and enumerations

Unique trend! How to shape the unique style of GPT-style large-scale language models on private data sets!

Large-scale language models from theory to practice: model foundation, data, reinforcement learning, application, evaluation

The New World of Generative AI | An Overview of Large Language Models (LLMs)

What is the use of large models, from a technical point of view

On the overview of efficient fine-tuning of large models: Adapter Tuning, AdaMix, PET, Prefix-Tuning, Prompt Tuning, P-tuning, P-tuning v2

The Big Model Era: Is the Knowledge Graph Obsolete? Griffith University and other latest "Unified Large Language Models and Knowledge Graphs: Roadmap", 29-page pdf details the most comprehensive guide...

Qianfan large-scale model platform has been upgraded: access to the most large-scale models and the most comprehensive prompt templates

Generative AI analysis: the magical effect of large models + large amounts of data

Generative AI analysis: the power of large models + large amounts of data

Under the overview of efficient fine-tuning of large models: DiffPruning, BitFit, LoRa, AdaLoRA, MAM Adapters, UniPELT

In the era of AIGC, how can fine-tuning of large models play the most important role?

Recommended

Ranking

liunx users and permissions

Using pybind11 to develop extension modules for python

小技巧——Typora常用快捷键

Modify the svn address of the project

(Pytorch Advanced Road) Informer

kubernets cluster

ESP8266 connects to Alibaba Cloud--MQTT protocol

Docker (Spring Boot or Thorntail) and Keycloak

Configuration and use of Maven and IDEA

QT custom table control

Daily

More

2024-12-21(0)

2024-12-20(0)

2024-12-19(0)

2024-12-18(0)

2024-12-17(0)

2024-12-16(0)

2024-12-15(0)

2024-12-14(0)

2024-12-13(0)

2024-12-12(0)