Pre-training large models and financial quantification - Code World

Pre-training large models and financial quantification

Enterprise 2023-08-12 21:03:58 views: null

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Pre-training large models and financial quantification

Continuous pre-training of large language models

LLM pre-training large language models Pre-training large language models

LLM-Large Model Training-Step (2)-Pre-training/Pre-Training(1): Full-Param Pre-Training (Full-Param Pre-Training) [Full parameter pre-training for LLaMA and other models] [Chinese unsupervised learning corpus 】

Overview of pre-training models and financial text sentiment classification tasks in deep learning (graphic explanation)

Continual Pre-Training of Large Language Models: How to (re)warm your model?

Applications and challenges of very large pre-training models in the field of command and control

Multimodal pre-training large model~

Summary of three fine-tuning techniques for pre-training large language models: fine-tuning, parameter-efficient fine-tuning and prompt-tuning

Pre-training of large language models [6]: Detailed explanation of the definition principle of Chain-of-thought (CoT), Zero-shot CoT, Few-shot CoT and application on LLM

[ChatGPT Series Topics] The Application of Large Language Models in the Financial Industry

Neural network model quantification technology for large AI models: INT8 or INT4?

GPT practical series-Calculation accuracy and quantification of large models such as Baichuan2

Bloom&LLAMA of the large model----Pre-Training (secondary pre-training)

LLM-large model training-step (2)-pre-training/Pre-Training (2): heavy parameter pre-training (Part-Param Pre-Training) [Lora/ptuning...] [Chinese unsupervised learning corpus]

Pre-training of large language models [2]: GPT, GPT2, GPT3, GPT3.5, GPT4 related theoretical knowledge and model implementation, model application and detailed explanation of the differences between versions

LLMs: LLaMA Efficient Tuning (an efficient tool that can efficiently fine-tune [full parameters/LoRA/QLoRA] mainstream large models [ChatGLM2/LLaMA2/Baichuan, etc.] [pre-training + instruction supervision fine-tuning +

【Financial Quantification】How to screen funds?

Multimodal large model (large model foundation, fine-tuning, video understanding multimodal pre-training)

Overview of NLP pre-training models: from word2vec, ELMo to BERT

Common network codes and pre-training models such as VGG, ResNet, GoogleLeNet, AlexNet, etc.

Natural language processing from entry to application - overview of pre-training models: two types of tasks

Transfer Learning: Building an Efficient Fruit Recognition Model Using Restnet Pre-Training Models

From 0 to 1: How to build a large-scale multilingual code generation pre-training model

[AI Medicine] Several fine-tuning & pre-training large model projects in the medical field

【Paper notes】DialoGPT:Large-Scale Generative Pre-training for Conversational Response Generation

Why is it said that the pre-training model solves the need for large-scale labeled data in machine learning?

[Natural Language Processing] [Large Model] CodeGeeX: A Multilingual Pre-Training Model for Code Generation

SplitMask: Are large-scale datasets necessary for self-supervised pre-training?

【Financial Quantification】What is an ETF fund? What are the characteristics?

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