-
Updated
Jan 5, 2024 - Jupyter Notebook
few-shot-prompting
Here are 12 public repositories matching this topic...
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.
-
Updated
Nov 4, 2024 - Jupyter Notebook
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.
-
Updated
Sep 9, 2024 - Jupyter Notebook
This is GenAI based ShopAssist Application which is to recommend laptops to the user absed upon their filtered out requirements
-
Updated
Aug 27, 2024 - Jupyter Notebook
Python Project Sample for Demonstration
-
Updated
Jul 29, 2024 - Jupyter Notebook
Unlocking the Power of Generative AI: In-Context Learning, Instruction Fine-Tuning and Reinforcement Learning Fine-Tuning.
-
Updated
Oct 25, 2024 - Jupyter Notebook
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.
-
Updated
Jul 12, 2024 - Python
pyWhat LLM version | Answer "What is it?" on the command line with the power of large language models
-
Updated
Aug 15, 2023 - Python
Explanation of Programming Errors using Open-source LLMs
-
Updated
Oct 8, 2024 - Jupyter Notebook
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.
-
Updated
Nov 28, 2023 - Jupyter Notebook
The course provides guidance on best practices for prompting and building applications with the powerful open commercial license models of Llama 2.
-
Updated
Mar 27, 2024 - Jupyter Notebook
Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)
-
Updated
Nov 4, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the few-shot-prompting topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the few-shot-prompting topic, visit your repo's landing page and select "manage topics."