Summarizing various Large Language Models (LLMs) that support code generation, along with the programming languages they can generate: LLM ModelSupported Programming LanguagesNotesOpenAI CodexPython, JavaScript, Go, Perl, PHP, Ruby, Swift, TypeScript, and morePowers GitHub Copilot; trained on a vast dataset of public code. Scribble DataCode LlamaPython, C++, Java, PHP, TypeScript, C#, Bash, and moreDeveloped by Meta... Continue Reading →
Ways To Run LLMs Locally (no code tools)
Running Large Language Models (LLMs) locally without coding can be simplified using user-friendly tools and platforms. Here are some ways to do that: 1. GPT4All Description: GPT4All allows you to run smaller versions of LLMs on your local machine using an easy-to-use desktop application. How to Use: Download the application, select a model, and interact... Continue Reading →
Leading Companies and Their Cutting-Edge Large Language Models (LLMs)
In the rapidly evolving field of artificial intelligence, Large Language Models (LLMs) are at the forefront of innovation. These powerful models are transforming how we interact with technology, enabling more natural and intuitive communication. In this post, we explore some of the leading companies that are pioneering the development of LLMs and their flagship models.... Continue Reading →
Principles of OOP explained.
Principles of OOP explained.Object-oriented programming (OOP) is a programming paradigm in which programs are designed using 𝗰𝗹𝗮𝘀𝘀𝗲𝘀 𝗮𝗻𝗱 𝗼𝗯𝗷𝗲𝗰𝘁𝘀. This design allows related functions and data to be grouped together in 𝘀𝗲𝗹𝗳-𝗰𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗱 𝗮𝗻𝗱 𝗿𝗲𝘂𝘀𝗮𝗯𝗹𝗲 𝘂𝗻𝗶𝘁𝘀.A class is a template or blueprint from which objects are made from. Classes define the properties and methods that an... Continue Reading →
Azure cloud services with their equivalents in IBM Cloud
Service CategoryAzureIBM CloudComputeAzure Virtual MachinesIBM Cloud Virtual ServersContainersAzure Kubernetes Service (AKS)IBM Cloud Kubernetes ServiceServerless ComputingAzure FunctionsIBM Cloud FunctionsBlock StorageAzure Disk StorageIBM Cloud Block StorageObject StorageAzure Blob StorageIBM Cloud Object StorageFile StorageAzure FilesIBM Cloud File StorageDatabasesAzure SQL DatabaseIBM Db2 on CloudAzure Cosmos DBIBM CloudantAzure Database for PostgreSQLIBM Cloud Databases for PostgreSQLAzure Database for MySQLIBM Cloud Databases... Continue Reading →
Understanding the Data Science Landscape and Machine Learning Process
The article provides insights into the data science landscape, focusing on machine learning processes, algorithm selection, and model evaluation. It covers supervised and unsupervised learning, including metrics such as confusion matrix, RMSE, and Silhouette Score. It also explores the differences between classical machine learning and deep learning, emphasizing the impact of neural network depth on performance and training.
The Power and Pitfalls of Generative AI for Image Creation
Generative AI (Gen AI) for image creation is a rapidly evolving field that has captivated the imagination of artists, technologists, and the general public alike. By leveraging sophisticated algorithms, particularly those based on deep learning, these AI systems can create remarkably realistic and novel images. The potential applications are vast, ranging from revolutionizing the entertainment... Continue Reading →
The Rise of Generative AI in Business: Transforming Operations and Driving Innovation
Generative AI, a subset of artificial intelligence, creates diverse content using deep learning algorithms. It revolutionizes marketing, customer service, product innovation, and business operations. AI-generated personalized recommendations and ethical considerations are key. As AI becomes more sophisticated, early adoption promises industry leadership and growth. Overall, Generative AI reshapes businesses by automating tasks, enhancing creativity, and personalizing interactions.
Find free datasets on Various Topics in this comprehensive list of data portals and search engines
The post offers resources for accessing open datasets, including Data.gov, NASA Open Data Portal, CareerFoundry, Kaggle, Google Dataset Search, United Nations (UN) Data, DataCatalogs.org, and Datahub.io. These platforms cover a wide range of topics and provide valuable insights into global issues through current and reliable statistics and data.
A framework for designing document processing solutions
Document processing may not be the hottest problem of the century, but it may as well be one of the important ones. In this blog post, I'll discuss a framewo... — مواصلة القراءة ljvmiranda921.github.io/notebook/2022/06/19/document-processing-framework/ https://github.com/ljvmiranda921/prodigy-pdf-custom-recipe
العمل الحر والتربح من الانترنت – خريف 2022
مفردات مساق العمل الحر والتربح من الانترنت - خريف 2022Download محاضرات مهارات العمل الحرDownload الإنتاجية وإدارة الوقتDownload التربحDownload نماذج الاعمال المفتوحة المصدر https://youtube.com/playlist?list=PL39RMbpB79NP-vPGP_UTBSpgyr_oVFh70 م https://youtube.com/playlist?list=PL39RMbpB79NP53dIgwGdRSXt5EwtsCTcf انشاء بروفيلات على منصات العمل الحر
Setting up SOLR in cloud as an App Service
deploy Solr on Azure as a web app
In this blog we will target the SOLR service for Sitecore 10, and hence we will configure SOLR 8.4.0. If you are looking for a solution for older version of Sitecore or SOLR then you can refer Dan Cruickshank’s blog here.
Setting up the App Service
Login to Azure portal. Navigate to App Services and choose to Add.
On the next screen, we need to provide the required details-
Select the Subscription, Resource group – One can create a new Resource group if it is required or select existing one.
Provide Instance Name. Choose Publish as Code, Runtime stack as Java 8, Java SE from the list.
Choose operating system as Windows.
Select the Region – where you want to create App Service.
Select the Windows Plan.
Now click on Next: Monitoring.
Click on Next : Tags to associate Tags to this App Service. It is you choice to…
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Question Answering or semantic document search
Haystack is an end-to-end framework that enables you to build powerful and production-ready pipelines for different search use cases. Whether you want to perform Question Answering or semantic document search, you can use the State-of-the-Art NLP models in Haystack to provide unique search experiences and allow your users to query in natural language. Haystack is... Continue Reading →
Python Syllabuss
Core Python SyllabusGETTING STARTEDTUPLESINTRODUCTION TO FUNCTIONS.History & need of Python• Application of Python• Advantages of PythonDisadvantages of Python.Installing PythonProgram structure.Interactive ShellIntroduction to TupleCreating TuplesAccessing Tuples• Joining TuplesReplicating Tuples. Tuple SlicingDICTIONARIES• Introduction to Dictionary• Accessing values in dictionaries. Working with dictionaries• PropertiesSET AND FROZENSETBuilt-In FunctionsIntroduction to FunctionsUsing a FunctionsPython Function TypesStructure of Python Functions. E.g. -... Continue Reading →
Data Piplelines
Ploomber https://github.com/ploomber/ploomber Ploomber is the fastest way to build data pipelines ⚡️. Use your favorite editor (Jupyter, VSCode, PyCharm) to develop interactively and deploy ☁️ without code changes (Kubernetes, Airflow, AWS Batch, and SLURM). Do you have legacy notebooks? Refactor them into modular pipelines with a single command. https://dagshub.com/ Open-source tool to build Data science projects with a soft layer of MLOps behind... Continue Reading →
Apache Airflow in 2022: 10 rules to make it
https://towardsdatascience.com/apache-airflow-in-2022-10-rules-to-make-it-work-b5ed130a51ad 1) Airflow is an orchestration framework, not an execution framework 2) Avoid the PythonOperator for your jobs 3) Check the existing operators before creating one 4) Do not install any custom dependency in your Airflow deployment 5) Airflow is NOT a data lineage solution 6) Airflow is NOT a data storage solution 7) Do... Continue Reading →
معتز خالد سعد | Motaz Saad