Multilingual machine translation capability analysis of large language models - Code World

Multilingual machine translation capability analysis of large language models

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Multilingual machine translation capability analysis of large language models

R language deep learning and multilingual machine translation

The multilingual neural machine translation method in the paper (multilingual neural machine translation)

Natural Language Processing (NLP): Build natural language processing models such as sentiment analysis, text classification, machine translation, or named entity recognition.

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

[文献阅读]——Learning Language Specific Sub-network for Multilingual Machine Translation

The Evolution of Large Language Models

Baichuan 2 of LLMs: Translation and interpretation of "Baichuan 2: Open Large-scale Language Models"

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

The importance of embedding models in large language models

Controversies and Limitations of Large Language Models

The Hype Curve for Large Language Models

Challenges and Applications of Large Language Models

Reasoning skills for large language models

Large Language Models in Finance: A Survey

[文献阅读]—Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation

[文献阅读]——Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation

Natural Language Processing: An Introduction to Large Language Models

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

The role of the compiler: the assembly language into machine language translation

Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning

LoRA: Best Practices for Personalization with Large Language Models

Leveraging large language models for multimodal tasks

Paper Reading A Survey of Large Language Models 2

Paper Reading A Survey of Large Language Models 1

Human Feedback Learning RLHF for Large Language Models

LangChain: A New Chapter for Large Language Models

[Large Language Models] Emerging Architectures for LLM Applications

Lessons learned from GPT and large language models

WebAgent - Agents based on large language models

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