Best AI tools for< Sourcing Coordinator >

Zycus is an AI-powered procurement software that offers a comprehensive suite of source-to-pay solutions. It leverages Generative AI to enhance speed and efficiency in procurement processes. The platform includes features such as Merlin AI for contracts, e-procurement, e-invoicing, spend analysis, and supplier management. Zycus is known for its innovative approach, value addition to businesses, and user-friendly interface.

SourceGeek is an AI-driven LinkedIn Automation Platform designed to automate and optimize the recruitment process. It streamlines candidate sourcing, selection, and engagement, allowing users to efficiently manage their time. The platform offers automatic candidate selection, personalized messaging powered by AI, full candidate tracking, and integration with popular CRM apps.

Mosaictrack is an AI-powered platform that revolutionizes the recruitment process by leveraging artificial intelligence to match candidates with suitable job opportunities. The platform offers a range of products and features, including diversity enhancement, chatbot engagement, and machine learning-based recruiting. Mosaictrack aims to streamline the hiring process, reduce bias, and improve candidate experience through innovative AI technologies.

Expertia AI is an AI-powered hiring partner that leverages advanced algorithms and machine learning to streamline the recruitment process. It offers a comprehensive suite of tools to assist HR professionals in sourcing, screening, and selecting top talent efficiently. By automating repetitive tasks and providing data-driven insights, Expertia AI helps companies make informed hiring decisions and improve overall recruitment outcomes.

AI-Recruiter is an AI-powered LinkedIn automation tool designed for recruiters to streamline the candidate discovery and recruitment process. It automates candidate sourcing, profiling, connection requests, messaging, and interaction using AI technology. The tool offers smart AI assistant, automated workflows, customizable messages, safe local operation, multi-account management, and more to enhance recruitment efficiency and effectiveness.

HireQuotient is an end-to-end recruitment automation platform for non-tech hiring. It supports talent leaders in sourcing, screening, and interviewing top talent in an inclusive way. The platform offers features such as AI-recommended candidate filters, multi-channel outreach automation, and seamless navigation for hiring. HireQuotient's AI tool revolutionizes talent discovery processes, providing warmth, efficiency, and optimization to organizations' people functions.

Arya by Leoforce is an AI recruitment software powered by ML technology. It offers advanced AI capabilities to source, screen, rank, and engage high-quality candidates faster. Arya empowers recruiters to focus on building meaningful candidate connections by going beyond simple keyword matching. It provides comprehensive talent sourcing and engagement capabilities, driving measurable improvements to candidate quality and reducing time to submit. Arya also enhances engagement and the candidate experience by providing access to new and updated candidate information daily, a 24/7 AI recruiting assistant, and a centralized multi-channel communication dashboard.

Arya by Leoforce is an AI recruitment software powered by ML technology. It offers AI recruiting automation, integrations with applicant tracking systems, multi-channel candidate sourcing, resume search, direct sourcing, talent intelligence, talent matching, candidate ranking, diversity recruiting, candidate experience, and engagement. Arya assists in high volume hiring needs, specialized hiring needs, and provides solutions tailored to various industries such as staffing, technology, healthcare, logistics, banking, and finance. It is designed to enhance the recruitment process by automating and optimizing activities, saving time and improving hiring outcomes.

Greenhouse is an AI-powered applicant tracking software and hiring platform that offers smart hiring tools to streamline the recruitment process. It provides features such as AI-powered sourcing, scalable workflows, candidate experience enhancement, interviewing and decision-making support, onboarding assistance, and reporting and insights generation. Greenhouse is designed to help businesses hire fairly and purposefully, ensuring that hiring is not just a task but a strategic part of the organization's success. The platform caters to early-stage businesses, scaling companies, and modern enterprises, offering world-class support and customizable hiring solutions for building global teams.

CVViZ is a modern AI Recruiting Software that automates candidate sourcing, matches candidates to jobs, provides hiring insights, and enhances the quality of hire. It offers features like resume screening, applicant tracking system, recruitment CRM, candidate sourcing, resume parser integration, and employee referral. With AI technology, CVViZ simplifies the hiring process in three steps: posting jobs to multiple job sites, screening candidates using AI algorithms, and engaging and hiring the best candidates. It helps in finding the right candidates for the right job through AI-powered resume screening and automates workflows with recruitment automation. CVViZ also offers recruitment analytics, GDPR compliance, and video interviewing for a seamless hiring experience.

RquestR is an AI-powered knowledge management platform designed specifically for procurement professionals. It streamlines projects, enables instant answers retrieval, and facilitates informed decision-making. The platform offers features such as intelligent document querying, automated Q&A generation, and knowledge base building. RquestR helps in reducing response time by up to 40% and enhancing decision-making accuracy by 30%. It provides a centralized knowledge hub for managing RFPs, security questionnaires, and Q&As, all while ensuring enterprise-grade security. The platform revolutionizes the procurement process by leveraging advanced AI for lightning-fast information retrieval, accurate responses, and adaptive learning.

Sense Talent Engagement Platform is an AI-powered recruitment platform that offers a comprehensive suite of tools to streamline the hiring process. It provides automation workflows, database cleanup, interview scheduling, text messaging, mass texting, WhatsApp and SMS integration, mobile app support, candidate matching, AI chatbot, job matching, scheduling bot, smart FAQ, pre-screening, sourcing, live chat, instant apply, talent CRM, generative AI, voice AI, referrals, analytics, and more. The platform caters to various industries such as financial services, healthcare, logistics, manufacturing, retail, staffing, technology, and more, helping organizations attract, engage, and retain top talent efficiently.

Skima is a recruitment AI and talent intelligence platform that aims to revolutionize the recruitment process by leveraging AI technology to help recruiters find the perfect candidates quickly and efficiently. The platform offers features such as AI-powered candidate assessment, seamless ATS integration, and smart job description generation to streamline the hiring process and improve recruitment ROI. Skima enables recruiters to unlock valuable insights from candidate databases, diversify client reach, and identify talent based on client demands. With Skima, recruiters can save time, increase productivity, and make data-driven hiring decisions.

Hirebee is a modern recruitment software and applicant tracking system that offers a comprehensive solution for businesses of all sizes to streamline their hiring processes. With features like job distribution, candidate sourcing, automated candidate screening, recruitment automation, and reporting and analytics, Hirebee aims to redefine talent acquisition and candidate management. The platform leverages artificial intelligence to enhance the hiring experience, providing users with a fast, friendly, and flexible approach to recruitment. Hirebee covers the entire recruitment value chain, from creating job requisitions to candidate surveys, and offers tools for candidate relationship management and smart screening. Ideal for small and medium businesses, startups/scaleups, and staffing agencies, Hirebee provides advanced screening tools, recruitment marketing resources, and excellent customer support at an affordable price.

Daxtra is an AI-powered recruitment technology tool designed to help staffing and recruiting professionals find, parse, match, and engage the best candidates quickly and efficiently. The tool offers a suite of products that seamlessly integrate with existing ATS or CRM systems, automating various recruitment processes such as candidate data loading, CV/resume formatting, information extraction, and job matching. Daxtra's solutions cater to corporates, vendors, job boards, and social media partners, providing a comprehensive set of developer components to enhance recruitment workflows.

Senseloaf Platform is an AI-powered platform designed to streamline the recruiting process by offering features such as Dynamic Matching, Conversational AI, Talent Discovery, and Resume Parser. It aims to provide a seamless and efficient experience for both recruiters and candidates, leveraging AI technology to personalize engagement, accelerate hiring productivity, and make insightful decisions. The platform offers end-to-end automation for recruiting teams, enabling them to consolidate, configure, automate, and control the recruitment process. With a focus on intelligent recruiting, Senseloaf Platform helps recruiters engage with top candidates, personalize candidate engagement, and boost hiring productivity with intelligence.

Swiftly AI is an AI-powered recruiting tool designed to streamline the candidate selection process for businesses. By leveraging artificial intelligence, Swiftly AI helps recruiters quickly identify and rank qualified candidates based on specified role requirements. The platform enables users to efficiently filter through a large pool of applicants, saving time and resources in the recruitment process. With Swiftly AI, companies can accelerate their talent search and make data-driven hiring decisions to recruit the most suitable candidates at scale.

Novius is an AI-powered recruitment automation tool that revolutionizes the recruiting process by helping users find the perfect candidates faster, easier, and smarter. It offers features such as AI-driven job description writing, intelligent candidate search, personalized email sequences, integrated meeting scheduling, and automated assessments. Novius streamlines the recruitment process, improves the quality of hires, and enhances candidate engagement through advanced AI algorithms and personalized communication.

LEVI AI Recruiting Software is a modern recruitment automation platform powered by artificial intelligence. It revolutionizes the candidate evaluation and selection process by using advanced AI recruitment tools. LEVI assists in making data-driven hiring decisions, matches candidates to job requirements, conducts independent interviews, generates comprehensive reports, integrates with hiring systems, and enables informed and efficient hiring decisions. The application unlocks the full potential of machine learning models, eliminates bias in the hiring process, and automates candidate screening. LEVI's AI-powered recruitment tools change how candidate evaluations are performed through automated resume screening, candidate sourcing, and AI interview assessments.

JobXRecruiter is an AI-powered CV review tool designed for recruiters to streamline the candidate evaluation process. It automates the review of resumes, provides detailed candidate analysis, and helps recruiters save time by focusing on hiring rather than manual screening. The tool offers a 1-minute setup, reduces candidate evaluation time, and eliminates tedious screening tasks. With JobXRecruiter, recruiters can create projects for each vacancy, receive match scores for candidates, and easily shortlist the best candidates without opening individual CVs. The application is secure, efficient, and a game-changer for recruiters looking to optimize their hiring process.

Vidur is an open-source next-gen Recruiting OS that offers an intuitive and modern interface for forward-thinking companies to efficiently manage their recruitment processes. It combines advanced candidate profiles, team workspace, plugins, and one-click apply features. The project is under active development, and contributors are welcome to join by addressing open issues. To ensure privacy, security issues should be reported via email to [email protected].

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

A package to help benchmark various LLM related tasks. The benchmarks are organized by end-to-end use cases, and utilize LangSmith heavily. We have several goals in open sourcing this: * Showing how we collect our benchmark datasets for each task * Showing what the benchmark datasets we use for each task is * Showing how we evaluate each task * Encouraging others to benchmark their solutions on these tasks (we are always looking for better ways of doing things!)

Anima is the first open-source 33B Chinese large language model based on QLoRA, supporting DPO alignment training and open-sourcing a 100k context window model. The latest update includes AirLLM, a library that enables inference of 70B LLM from a single GPU with just 4GB memory. The tool optimizes memory usage for inference, allowing large language models to run on a single 4GB GPU without the need for quantization or other compression techniques. Anima aims to democratize AI by making advanced models accessible to everyone and contributing to the historical process of AI democratization.

ShortGPT is a powerful framework for automating content creation, simplifying video creation, footage sourcing, voiceover synthesis, and editing tasks. It offers features like automated editing framework, scripts and prompts, voiceover support in multiple languages, caption generation, asset sourcing, and persistency of editing variables. The tool is designed for youtube automation, Tiktok creativity program automation, and offers customization options for efficient and creative content creation.

This repository provides a real-world trace dataset of LLM serving workloads for research and academic purposes. The dataset includes two files, BurstGPT.csv with trace data for 2 months including some failures, and BurstGPT_without_fails.csv without any failures. Users can scale the RPS in the trace, model patterns, and leverage the trace for various evaluations. Future plans include updating the time range of the trace, adding request end times, updating conversation logs, and open-sourcing a benchmark suite for LLM inference. The dataset covers 61 consecutive days, contains 1.4 million lines, and is approximately 50MB in size.

ChatTTS is a generative speech model optimized for dialogue scenarios, providing natural and expressive speech synthesis with fine-grained control over prosodic features. It supports multiple speakers and surpasses most open-source TTS models in terms of prosody. The model is trained with 100,000+ hours of Chinese and English audio data, and the open-source version on HuggingFace is a 40,000-hour pre-trained model without SFT. The roadmap includes open-sourcing additional features like VQ encoder, multi-emotion control, and streaming audio generation. The tool is intended for academic and research use only, with precautions taken to limit potential misuse.

Metaflow is a user-friendly library designed to assist scientists and engineers in developing and managing real-world data science projects. Initially created at Netflix, Metaflow aimed to enhance the productivity of data scientists working on diverse projects ranging from traditional statistics to cutting-edge deep learning. For further information, refer to Metaflow's website and documentation.

BambooAI is a lightweight library utilizing Large Language Models (LLMs) to provide natural language interaction capabilities, much like a research and data analysis assistant enabling conversation with your data. You can either provide your own data sets, or allow the library to locate and fetch data for you. It supports Internet searches and external API interactions.

This repository contains the code that Defog uses for the evaluation of generated SQL. It's based off the schema from the Spider, but with a new set of hand-selected questions and queries grouped by query category. The testing procedure involves generating a SQL query, running both the 'gold' query and the generated query on their respective database to obtain dataframes with the results, comparing the dataframes using an 'exact' and a 'subset' match, logging these alongside other metrics of interest, and aggregating the results for reporting. The repository provides comprehensive instructions for installing dependencies, starting a Postgres instance, importing data into Postgres, importing data into Snowflake, using private data, implementing a query generator, and running the test with different runners.

qlora-pipe is a pipeline parallel training script designed for efficiently training large language models that cannot fit on one GPU. It supports QLoRA, LoRA, and full fine-tuning, with efficient model loading and the ability to load any dataset that Axolotl can handle. The script allows for raw text training, resuming training from a checkpoint, logging metrics to Tensorboard, specifying a separate evaluation dataset, training on multiple datasets simultaneously, and supports various models like Llama, Mistral, Mixtral, Qwen-1.5, and Cohere (Command R). It handles pipeline- and data-parallelism using Deepspeed, enabling users to set the number of GPUs, pipeline stages, and gradient accumulation steps for optimal utilization.

This repository contains code and data for replicating experiments on Long-Term Memory (LTM) abilities of conversational agents. It includes a benchmark for testing agents' memory performance over long conversations, evaluating tasks requiring dynamic memory upkeep and information integration. The repository supports various models, datasets, and configurations for benchmarking and reporting results.

CAMEL is an open-source library designed for the study of autonomous and communicative agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.

This repository contains the code and instructions needed to build a sophisticated answer engine that leverages the capabilities of Groq, Mistral AI's Mixtral, Langchain.JS, Brave Search, Serper API, and OpenAI. Designed to efficiently return sources, answers, images, videos, and follow-up questions based on user queries, this project is an ideal starting point for developers interested in natural language processing and search technologies.

Warp is a blazingly-fast modern Rust based GPU-accelerated terminal built to make you and your team more productive. It is available for macOS and Linux users, with plans to support Windows and the Web (WASM) in the future. Warp has a community search page where you can find solutions to common issues, and you can file issue requests in the repo if you can't find a solution. Warp is open-source, and the team is planning to first open-source their Rust UI framework, and then parts and potentially all of their client codebase.

Hyper-Pretrained Transformers (HPT) is a novel multimodal LLM framework from HyperGAI, trained for vision-language models capable of understanding both textual and visual inputs. The repository contains the open-source implementation of inference code to reproduce the evaluation results of HPT Air on different benchmarks. HPT has achieved competitive results with state-of-the-art models on various multimodal LLM benchmarks. It offers models like HPT 1.5 Air and HPT 1.0 Air, providing efficient solutions for vision-and-language tasks.

EvalPlus is a rigorous evaluation framework for LLM4Code, providing HumanEval+ and MBPP+ tests to evaluate large language models on code generation tasks. It offers precise evaluation and ranking, coding rigorousness analysis, and pre-generated code samples. Users can use EvalPlus to generate code solutions, post-process code, and evaluate code quality. The tool includes tools for code generation and test input generation using various backends.

Defog's SQLCoder is a family of state-of-the-art large language models (LLMs) designed for converting natural language questions into SQL queries. It outperforms popular open-source models like gpt-4 and gpt-4-turbo on SQL generation tasks. SQLCoder has been trained on more than 20,000 human-curated questions based on 10 different schemas, and the model weights are licensed under CC BY-SA 4.0. Users can interact with SQLCoder through the 'transformers' library and run queries using the 'sqlcoder launch' command in the terminal. The tool has been tested on NVIDIA GPUs with more than 16GB VRAM and Apple Silicon devices with some limitations. SQLCoder offers a demo on their website and supports quantized versions of the model for consumer GPUs with sufficient memory.

Chinese-Tiny-LLM is a repository containing procedures for cleaning Chinese web corpora and pre-training code. It introduces CT-LLM, a 2B parameter language model focused on the Chinese language. The model primarily uses Chinese data from a 1,200 billion token corpus, showing excellent performance in Chinese language tasks. The repository includes tools for filtering, deduplication, and pre-training, aiming to encourage further research and innovation in language model development.

Beta

Grants all wishes and answers any questions a recruiter may have during any phase of the process

Compiles technical feedback for recruiters

Sourcing and summarizing 20+ Australian news headlines

Expert in sourcing and organizing knowledge databases for GPTs.

Advises on strategic sourcing and procurement to optimize category management.

Professional and adaptable expert in sourcing and growing Shopify stores.

Expert on pop culture, sourcing from Fandom.com in an encyclopedic style.

Crafting Expert-Level Boolean Strings for Effective Google X-Ray Sourcing***Version 2.0 updated 11/28/2023

A Pokémon competitive build expert, sourcing data from Smogon for single and double battles.

Expert in British baseball history, sourcing from projectcobb.org.uk and the internet

Expert in real-time trend analysis, sourcing data-driven insights (e.g. prompt: Give me last month's top trends in AI)

Your go-to guide for everything in the World of Procurement .

Your go-to guide for ethical, diverse, sustainable shopping.

A copilot for Procurement, aiding in crafting Statements of Work for RfI/RfP.

A personal shopping assistant for international buyers of UK products.

Complete mastery of dropshipping

Asesor experto en Amazon FBA, al estilo de Jeff Bezos

Streamlines supplier interactions to optimize organizational efficiency and cost-effectiveness.

Optimizes supplier performance for organizational efficiency and growth.