Best AI tools for< Principal Software Engineer >

Victor Dibia's website showcases his expertise in Applied Machine Learning and Human-Computer Interaction (HCI). He is a Principal Research Software Engineer at Microsoft Research, focusing on Generative AI. The site features his publications, projects, CV, and blog posts, covering topics such as multi-agent systems, recommender systems, and more. Victor's work has been recognized in conferences and media outlets, highlighting his contributions to the field of AI and HCI.

KISS Investments is an innovative platform that provides solutions by leveraging cutting-edge technology. The website offers reviews and tools related to AI applications, such as video creation, content generation, and noise cancellation. Users can explore various AI tools and compare their features to make informed decisions. The platform aims to simplify complex tasks and enhance productivity through AI-driven solutions.

Principal is an AI-powered wealth platform that helps users manage their finances effectively. It offers a comprehensive view of your financial situation, personalized insights, and recommendations to grow your wealth. With bank-grade security, Principal ensures that your data is safe and secure. The platform is free to use with the option to upgrade for more advanced features and capabilities.

Education Week is a website that provides news and information on K-12 education. It covers a wide range of topics, including leadership, policy and politics, teaching and learning, technology, and student well-being. The website also provides resources for educators, such as lesson plans, professional development opportunities, and research reports.

Education Week is a website that provides news and information on K-12 education. It covers topics such as leadership, policy and politics, teaching and learning, technology, and opinion. The website also provides resources for educators, such as articles, videos, and webinars.

ChatPRD is an AI Copilot for Product Work that helps product managers, VPs, founders, and teams without product managers to create great product requirements documents efficiently. It acts as an AI Chief Product Officer, providing feedback, coaching, and generating PRDs from simple ideas. The tool aims to save time, improve productivity, and enhance the quality of product management work.

Narada is an AI application designed for busy professionals to streamline their work processes. It leverages cutting-edge AI technology to automate tasks, connect favorite apps, and enhance productivity through intelligent automation. Narada's LLM Compiler routes text and voice commands to the right tools in real time, offering seamless app integration and time-saving features.

Clickworker GmbH is an AI training data and data management services platform that leverages a global crowd of Clickworkers to generate, validate, and label data for AI systems. The platform offers a range of AI datasets for machine learning, audio, image, and video datasets, as well as services like image annotation, content editing, and creation. Clickworkers participate in projects on a freelance basis, performing micro-tasks to create high-quality training data tailored to the requirements of AI systems. The platform also provides solutions for industries such as AI and data science research, eCommerce, fashion, retail, and digital marketing.

Awesome-AGI is a curated list of resources related to Artificial General Intelligence (AGI), including models, pipelines, applications, and concepts. It provides a comprehensive overview of the current state of AGI research and development, covering various aspects such as model training, fine-tuning, deployment, and applications in different domains. The repository also includes resources on prompt engineering, RLHF, LLM vocabulary expansion, long text generation, hallucination mitigation, controllability and safety, and text detection. It serves as a valuable resource for researchers, practitioners, and anyone interested in the field of AGI.

SuperKnowa is a fast framework to build Enterprise RAG (Retriever Augmented Generation) Pipelines at Scale, powered by watsonx. It accelerates Enterprise Generative AI applications to get prod-ready solutions quickly on private data. The framework provides pluggable components for tackling various Generative AI use cases using Large Language Models (LLMs), allowing users to assemble building blocks to address challenges in AI-driven text generation. SuperKnowa is battle-tested from 1M to 200M private knowledge base & scaled to billions of retriever tokens.

Gemini AI is a Ruby Gem designed to provide low-level access to Google's generative AI services through Vertex AI, Generative Language API, or AI Studio. It allows users to interact with Gemini to build abstractions on top of it. The Gem provides functionalities for tasks such as generating content, embeddings, predictions, and more. It supports streaming capabilities, server-sent events, safety settings, system instructions, JSON format responses, and tools (functions) calling. The Gem also includes error handling, development setup, publishing to RubyGems, updating the README, and references to resources for further learning.

Call Center AI is an AI-powered call center solution leveraging Azure and OpenAI GPT. It allows for AI agent-initiated phone calls or direct calls to the bot from a configured phone number. The bot is customizable for various industries like insurance, IT support, and customer service, with features such as accessing claim information, conversation history, language change, SMS sending, and more. The project is a proof of concept showcasing the integration of Azure Communication Services, Azure Cognitive Services, and Azure OpenAI for an automated call center solution.

AI.Hub is a website displaying cards with artificial intelligences (AIs) for various applications, developed using HTML, CSS, and JavaScript. The site aims to democratize access to disruptive AIs by categorizing and organizing them dynamically. It features a responsive layout, search bar for filtering AIs, interactive cards, and column expansion on mobile devices. The project promotes innovation and helps users explore the potential of new technologies.

Efficient Foundation Model Survey is a comprehensive analysis of resource-efficient large language models (LLMs) and multimodal foundation models. The survey covers algorithmic and systemic innovations to support the growth of large models in a scalable and environmentally sustainable way. It explores cutting-edge model architectures, training/serving algorithms, and practical system designs. The goal is to provide insights on tackling resource challenges posed by large foundation models and inspire future breakthroughs in the field.

This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access the ChatGPT model (gpt-35-turbo), and Azure AI Search for data indexing and retrieval.

This repository contains custom recipes for H2O Driverless AI, which is an Automatic Machine Learning platform for the Enterprise. Custom recipes are Python code snippets that can be uploaded into Driverless AI at runtime to automate feature engineering, model building, visualization, and interpretability. Users can gain control over the optimization choices made by Driverless AI by providing their own custom recipes. The repository includes recipes for various tasks such as data manipulation, data preprocessing, feature selection, data augmentation, model building, scoring, and more. Best practices for creating and using recipes are also provided, including security considerations, performance tips, and safety measures.

This repository is a compilation of excellent ML and DL tutorials created by various individuals and organizations. It covers a wide range of topics, including machine learning fundamentals, deep learning, computer vision, natural language processing, reinforcement learning, and more. The resources are organized into categories, making it easy to find the information you need. Whether you're a beginner or an experienced practitioner, you're sure to find something valuable in this repository.

AIGT is a repository containing scripts for deep learning in guided medical interventions, focusing on ultrasound imaging. It provides a complete workflow from formatting and annotations to real-time model deployment. Users can set up an Anaconda environment, run Slicer notebooks, acquire tracked ultrasound data, and process exported data for training. The repository includes tools for segmentation, image export, and annotation creation.

Caissa is a strong, UCI command-line chess engine optimized for regular chess, FRC, and DFRC. It features its own neural network trained with self-play games, supports various UCI options, and provides different EXE versions for different CPU architectures. The engine uses advanced search algorithms, neural network evaluation, and endgame tablebases. It offers outstanding performance in ultra-short games and is written in C++ with modules for backend, frontend, and utilities like neural network trainer and self-play data generator.

The serverless-rag-demo repository showcases a solution for building a Retrieval Augmented Generation (RAG) system using Amazon Opensearch Serverless Vector DB, Amazon Bedrock, Llama2 LLM, and Falcon LLM. The solution leverages generative AI powered by large language models to generate domain-specific text outputs by incorporating external data sources. Users can augment prompts with relevant context from documents within a knowledge library, enabling the creation of AI applications without managing vector database infrastructure. The repository provides detailed instructions on deploying the RAG-based solution, including prerequisites, architecture, and step-by-step deployment process using AWS Cloudshell.

RAFT (Reusable Accelerated Functions and Tools) is a C++ header-only template library with an optional shared library that contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

Embedchain is an Open Source Framework for personalizing LLM responses. It simplifies the creation and deployment of personalized AI applications by efficiently managing unstructured data, generating relevant embeddings, and storing them in a vector database. With diverse APIs, users can extract contextual information, find precise answers, and engage in interactive chat conversations tailored to their data. The framework follows the design principle of being 'Conventional but Configurable' to cater to both software engineers and machine learning engineers.

Toolio is an OpenAI-like HTTP server API implementation that supports structured LLM response generation, making it conform to a JSON schema. It is useful for reliable tool calling and agentic workflows based on schema-driven output. Toolio is based on the MLX framework for Apple Silicon, specifically M1/M2/M3/M4 Macs. It allows users to host MLX-format LLMs for structured output queries and provides a command line client for easier usage of tools. The tool also supports multiple tool calls and the creation of custom tools for specific tasks.

AI System School is a curated list of research in machine learning systems, focusing on ML/DL infra, LLM infra, domain-specific infra, ML/LLM conferences, and general resources. It provides resources such as data processing, training systems, video systems, autoML systems, and more. The repository aims to help users navigate the landscape of AI systems and machine learning infrastructure, offering insights into conferences, surveys, books, videos, courses, and blogs related to the field.

The 'Awesome AI Guidelines' repository aims to simplify the ecosystem of guidelines, principles, codes of ethics, standards, and regulations around artificial intelligence. It provides a comprehensive collection of resources addressing ethical and societal challenges in AI systems, including high-level frameworks, principles, processes, checklists, interactive tools, industry standards initiatives, online courses, research, and industry newsletters, as well as regulations and policies from various countries. The repository serves as a valuable reference for individuals and teams designing, building, and operating AI systems to navigate the complex landscape of AI ethics and governance.

Provides expert-level software engineering guidance

Mentor for engineering managers in tech.

Expert Backend Developer: Skilled in Python, Java, Node.js, Ruby, PHP for robust backend solutions.

Software Architect / Engineer Guidance

針對經驗豐富的開發人員提供進階的 .NET 建議

Assistant pédagogique pour développer la conscience phonologie et le principe alphabétique.

Experte in Schulmanagement, Projektplanung & Berufsbild Schulleitung

Aide for educators writing K-12 progress report comments.

Generates personalized academic reports for parents based on student data.

Guiding schools in digital strategy with focus on educators, learners, collaboration, leadership, IT infrastructure, finance, data privacy, special education, online safety, school board, guided by Mark Anderson, ICT Evangelist © 2023.

Efficiently creates personalized student reports.

Expert in PBIS, SEL, Classroom Management, Teaching Strategies, and Overall Best Practices.

Comprehensive GA curriculum guide for all grades & subjects.

Dedicated guide for school research, strictly focused on academic and extracurricular information.

Creates PBL lesson plans for middle and high school students.

Assist in the creation and updating of exemplary curriculum for Colorado elementary school teachers

Ask this AI anything about alignment and it will give the best scenario the superintelligence should do according to its Alignment Principals.

Print on Demand customer service assistant

Interactive guide to the Principles (2011 era)

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