amdework21 Goto Github PK

-telecommunication-data-analysis

This git repository shows a telecommunication data analysis to make a recommendation on whether a Telecom organization is worth buying or selling. This is done by analyzing a telecommunication dataset that contains useful information about the customers & their activities on the network.

android-dictionary-app-master

Android Dictionary App

example_cml

cml-Training

geez-amharic-ds

git-get-started-b4

large-language-models-comparison

Large Language Models coupled with multiple AI capabilities are able to generate images and text, and also approach/achieve human level performance on a number of tasks.The world is going through a revolution in art (DALL-E, MidJourney, Imagine, etc.), science (AlphaFold), medicine, and other key areas, and this approach is playing a role in this revolution. This project is then created to use some of the above LLM APIs to compare web pages in relation with Job description.

llms-prompt-engineering

Large Language Models coupled with multiple AI capabilities are able to generate images and text, and also approach/achieve human level performance on a number of tasks.The world is going through a revolution in art (DALL-E, MidJourney, Imagine, etc.), science (AlphaFold), medicine, and other key areas, and this approach is playing a role in this revolution. This project is then created to use some of the above LLM APIs to compare web pages in relation with Job description.

mlflows-example

Machine Learning Workflows are vital tasks for development

prompt-engineering

A client has a system that collects news artifacts from web pages, tweets, facebook posts, etc. The client is interested in scoring a given new artifact against a topic. The client has hired experts to score a few of these news items in the range from 0 to 10; a score of 0 means the news item is totally NOT relevant while a score of 10 means the news item is very relevant. The range of results between 0 and 10 signifies the degree of relevance of the news item to the topic. The client wants to explore how useful existing LLMs such as GPT-3 are for this task. You are hired as a consultant to explore the efficiency of GPT3-like LLMs to this task. If your recommendation is positive, you must demonstrate that your strategies to design prompts are reproducible and produce a consistent result. You should also set up an MLOps pipeline that helps automate the task of using different LLMs and different topics. Your pipeline should also allow future improvements in the prompt design to be integrated without breaking the system. A centralized log system should be incorporated into your pipeline to help monitor outputs, cost, performance, and other relevant artifacts

rebase-workflow-demo

This repo is created to explain the idea of following the Git Workflow with Rebase. You can find the tutorial here (https://medium.com/@kalana.16/git-rebase-for-an-absolute-beginner-35d16144abd9)

rossmann-pharmaceutical-sales-prediction

This Git repo is built as an end-to-end product to deliver the Rossmann-Pharmaceutical-Sales-prediction and to analysts in the finance team.

sentiment

smartad-abtest

telecom-data-analysis

This git repository shows a telecommunication data analysis to make a recommendation on whether a Telecom organization is worth buying or selling. This is done by analyzing a telecommunication dataset that contains useful information about the customers & their activities on the network.

twitter-data-analysis

twitter-data-analysis-template

forking for training

twitter-data-analysis21

Tweeter-Data-Analysis... We'll add the detail description of this data analysis soon.