freshllms/freshqa

Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)

Language: Jupyter Notebook - Size: 322 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 358 - Forks: 16

huzaifa113/Math-Meme-Repair

Fine-tuned DeepSeek-Math-7B model to fix viral math memes. Used dataset of 20 errors, few-shot prompting, and Gradio UI on Hugging Face Spaces. Delivered corrections with explanations steps.

Language: Python - Size: 4.88 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

ElmiraGhorbani/dynamic_prompting

Dynamic Few-Shot Prompting is a Python package that dynamically selects N samples that are contextually close to the user's task or query from a knowledge base (similar to RAG) to include in the prompt.

Language: Python - Size: 312 KB - Last synced at: 5 days ago - Pushed at: 10 months ago - Stars: 5 - Forks: 0

asifhaider/LLM-Finetuning-Prompting-Project

Python Project Sample for Demonstration

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Kamal007OLica/Openai-Recipe-Blog

building recipe blog generator using API’s OpenAI Node.js library

Language: JavaScript - Size: 19.5 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

DJMuRo4ever/Prompt_Eval_LLM_Judge

Prompt Design & LLM Judge

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saedeht/language-understanding-chatgpt

repo for the Adapted few-shot prompting...

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ksm26/Prompt-Engineering-with-Llama-2

The course provides guidance on best practices for prompting and building applications with the powerful open commercial license models of Llama 2.

Language: Jupyter Notebook - Size: 2.35 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 10 - Forks: 12

Anmolian/Prompt_Eval_LLM_Judge

Prompt Design & LLM Judge

Language: Python - Size: 28 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

stefanshipinkoski/dynamic-few-shot-prompting-blog-post

Dynamic Few-Shot Prompting for Customer Support AI Agents A practical implementation of dynamic few-shot prompting using LangChain and HuggingFace models. This repository provides an optimized approach to improving AI agent performance for customer support tasks by selecting relevant examples based on user queries, thus enhancing response accuracy

Language: Python - Size: 93.8 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

simonpierreboucher/llm_multiple_generation

This repository contains Jupyter notebooks demonstrating various generation tasks with Large Language Models (LLMs). It provides examples for summarization, text generation, few-shot learning, and translation, utilizing different LLM APIs to showcase the capabilities of multiple providers.

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dipen-yadav/prompt-engineering-nepali

The study explores zero-shot and few-shot prompting strategies using Meta's quantized LLaMA 3.1 70B model to perform Named Entity Recognition (NER) on Nepali text.

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satyampurwar/large-language-models

Unlocking the Power of Generative AI: In-Context Learning, Instruction Fine-Tuning and Reinforcement Learning Fine-Tuning.

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Abhiram-kandiyana/Error-Explainer

Explanation of Programming Errors using Open-source LLMs

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at-akshat-2107/LJMU-Thesis-Results-Akshat-Mehta-1129239

This repository contains results from my MSc. thesis on "Test Case Generation from User Stories using Generative AI Techniques with LLM Models." Each folder includes generated test cases in PDF, detailed metrics scores of data in Excel sheets, and visual graphs, offering a comprehensive view of the experiments in images folder and their outcomes.

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akshaykadam100/GenAI-Based-ShopAssist-App

This is GenAI based ShopAssist Application which is to recommend laptops to the user absed upon their filtered out requirements

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saadtariq-ds/llms_with_google_cloud

Leveraged the power of Google Cloud's Vertex AI platform to develop advanced Large Language Models (LLMs). Utilizing the Python API provided by Google Cloud, this endeavor represents a significant stride in the realm of natural language processing and LLMs.

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Chandrakant817/All-about-Prompt-Engineering

Language: Jupyter Notebook - Size: 4.88 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

tddschn/langwhat

pyWhat LLM version | Answer "What is it?" on the command line with the power of large language models

Language: Python - Size: 1.08 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0