in-context-learning
20 proyectos comparten este topic de GitHub
Las líneas conectan a los miembros que están mediblemente relacionados entre sí. El tamaño de los puntos refleja las estrellas.
🧬 Miembros
Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
★ 18k
LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
★ 12.2k
Prompt_Engineering
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to…
★ 7.7k
open_flamingo
An open-source framework for training large multimodal models.
★ 4.1k
Awesome-LLM-Reasoning
From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓
★ 3.7k
DecryptPrompt
总结Prompt&LLM论文，开源数据&模型，AIGC应用
★ 3.4k
LLMAgentPapers
Must-read Papers on LLM Agents.
★ 3.1k
prompt-in-context-learning
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3,…
★ 2.2k
vall-e
PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo…
★ 2.2k
UNO
[ICCV 2025] 🔥🔥 UNO: A Universal Customization Method for Both Single and Multi-Subject Conditioning
★ 1.4k
Awesome-LLM4IE-Papers
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
★ 1.1k
Awesome-LLM-Uncertainty-Reliability-Robustness
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
★ 831
LM-reasoning
This repository contains a collection of papers and resources on Reasoning in Large Language Models.
★ 571
awesome-instruction-learning
Papers and Datasets on Instruction Tuning and Following. ✨✨✨
★ 512
synalinks
From idea to production in just few lines: Graph-Based Programmable Neuro-Symbolic LM Framework - a…
★ 447
EasyInstruct
[ACL 2024] An Easy-to-use Instruction Processing Framework for LLMs.
★ 407
freshqa
Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)
★ 400
Awesome-Multimodal-LLM
Research Trends in LLM-guided Multimodal Learning.
★ 355
Awesome-instruction-tuning
A curated list of awesome instruction tuning datasets, models, papers and repositories.
★ 346
Binder
[ICLR 2023] Code for the paper "Binding Language Models in Symbolic Languages"
★ 326
🔗 Familias relacionadas
Medido a partir de los temas de GitHub compartidos por ambos proyectos, ponderado por cuán raros son cada uno de los temas.