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.
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Updated
Sep 7, 2023 - Python
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✨.
ThinkBench is an LLM benchmarking tool focused on evaluating the effectiveness of chain-of-thought (CoT) prompting for answering multiple-choice questions.
Query LLM with Chain-of-Tought
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.
neat is a ReAct-like agent accessing all sorts of data & APIs
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
LangChain SQL BI Assistant for IMDB
Enhanced Image Captioning on ROCO Multimodal dataset using step-by-step distillation
Aspect Based Sentiment Analysis (ABSA) of Customer Reviews
Tree of Thought Prompt Engineering for Rap Lyrics - OutsideLLMs hackathon
This repository contains the code snippets used in "LLM Prompt Engineering For Developers"
Code and Data Repo for ACL'24 Paper "Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models"
Jupyter Notebooks of Course of Building Systems with the ChatGPT API by DeepLearning.AI
VELOCITI Benchmark Evaluation and Visualisation Code
Synthetic data generation for evaluating Large Language Models reasoning.
A framework for evaluating the effectiveness of chain-of-thought reasoning in language models.
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