The official GitHub page for the survey paper "A Survey of Large Language Models".
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Updated
May 19, 2024 - Python
The official GitHub page for the survey paper "A Survey of Large Language Models".
BabyAGI: an Autonomous and Self-Improving agent, or BASI
An Easy-to-use Instruction Processing Framework for LLMs.
PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. 🏆 Best Paper Awards @ NeurIPS ML Safety Workshop 2022
🎁[ChatGPT4NLU] A Comparative Study on ChatGPT and Fine-tuned BERT
Seed, Code, Harvest: Grow Your Own App with Tree of Thoughts!
We introduce new zero-shot prompting magic words that improves the reasoning ability of language models: panel discussion!
Codes for ACL 2023 paper: Reasoning Implicit Sentiment with Chain-of-Thought Prompting
Code and Data Repo for ACL'23 Paper "Element-aware Summary and Summary Chain-of-Thought (SumCoT)"
[EMNLP 2023, Findings] GRACE: Discriminator-Guided Chain-of-Thought Reasoning
[ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models
The official repo for “TextCoT: Zoom In for Enhanced Multimodal Text-Rich Image Understanding”.
Official implementation of LoT paper: "Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic"
Synthetic data generation for evaluating Large Language Models reasoning.
ragTAG is a conversational AI script that creates a roundtable dialogue between user assigned characters with their own different objectives and perspectives.
LangChain SQL BI Assistant for IMDB
neat is a ReAct-like agent accessing all sorts of data & APIs
This is a tool to answer anything you want to answer via BingAI, Google search with OpenAI. You can use it for building Chain-Of-Thought dataset to fine-tune your model.
This repository highlights the LLMs reasoning capabilities of ✨ Mistral / LLaMA-3 / Phi-3 / Gemma / Flan-T5 / GPT-4o ✨ in Targeted Sentiment Analysis in Russian / Translated to English mass-media 📊
Exploring Chain-of-Thought and Explainable AI approaches for improved hate speech detection and explanation generation using large language models.
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