”language-models-are-next“ 的搜索结果

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language ...

We view Large Language Models as stochastic language layers in a network, where the learnable parameters are the natural language prompts at each layer. We stack two such layers, feeding the output of...

#计算机科学#Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

#大语言模型#Commanding robots using only Language Models' prompts

An n-gram model is a type of probabilistic language model for predicting the next item in such a sequence. In n gram language modelling, words are modeled such that each n-gram is composed of n words

Gesture recognition helps computers to understand human body language. This helps to build a more potent link between humans and machines, rather than just the basic text user interfaces or graphical ...

ChatGPT built with NEXT.JS, awesome gpt prompts, and more inspired by: Large Language Models are Zero-Shot Reasoners

How does the keyboard on your phone know what you would like to type next? Language prediction is a Natural Language Processing - NLP application concerned with predicting the text given in the preced...

Summarization systems often have additional evidence they can utilize in order to specify the most important topics of document(s). For example, when summarizing blogs, there are discussions or commen...

“Language Models are Unsupervised Multitask Learners”论文的代码和模型

GPT-3: Language Models are Few-Shot Learners

《Evaluating Large Language Models Trained on Code》论文代码

Experiments and data for the paper "When and why vision-language models behave like bags-of-words, and what to do about it?" Oral @ ICLR 2023

Liquid: Language Models are Scalable and Unified Multi-modal Generators

#大语言模型#Next-token prediction in JavaScript — build fast language and diffusion models.

#大语言模型#Code and models for ICML 2024 paper, NExT-GPT: Any-to-Any Multimodal Large Language Model

A guidance language for controlling large language models.

The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.

#大语言模型#SGLang is a fast serving framework for large language models and vision language models.

The next generation esoteric language

pre-trained Language Models

StableLM: Stability AI Language Models

#自然语言处理#Build unigram and bigram language models, implement Laplace smoothing and use the models to compute the perplexity of test corpora.

Reading notes about Multimodal Large Language Models, Large Language Models, and Diffusion Models

Take your Eloquent Models to the next level

Train transformer language models with reinforcement learning.

Hackers' Guide to Language Models

#大语言模型#Adding guardrails to large language models.