neat is a ReAct-like agent accessing all sorts of data & APIs
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Updated
Nov 26, 2023 - Python
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 project explains "prompt engineering," a key technique for guiding AI models to desired outputs in tools like chatbots and text summarizers. It highlights the importance of clear instructions and techniques like CoT Prompting for effective communication with large language models. The project also introduces the Langchain library✨.
Findings of EMNLP'2023: PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection
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.
ragTAG is a conversational AI script that creates a roundtable dialogue between user assigned characters with their own different objectives and perspectives.
Socratic models for multimodal reasoning & image captioning
This repository contains the code snippets used in "LLM Prompt Engineering For Developers"
LangChain SQL BI Assistant for IMDB
Enhanced Image Captioning on ROCO Multimodal dataset using step-by-step distillation
Code and Data Repo for Paper "Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models"
Jupyter Notebooks of Course of Building Systems with the ChatGPT API by DeepLearning.AI
Tree of Thought Prompt Engineering for Rap Lyrics - OutsideLLMs hackathon
Aspect Based Sentiment Analysis (ABSA) of Customer Reviews
Synthetic data generation for evaluating Large Language Models reasoning.
Official repository for ODQA experiments from Decomposed Prompting: A Modular Approach for Solving Complex Tasks, ICLR23
Codes for ICML 2024 paper: "Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition"
A framework for evaluating the effectiveness of chain-of-thought reasoning in language models.
Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models
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