Best AI tools for< Maximize Sourcing Investments >

Harver is an AI tool designed to help businesses make better talent decisions faster. It offers predictive assessments and automated solutions to optimize the hiring process. By using scientifically validated assessments, Harver enables companies to reduce employee turnover, maximize sourcing investments, hire faster, and cut costs with intelligent automation. The platform also provides data-driven hiring insights and business analytics to support unbiased decision-making.

CALA is a leading fashion platform that unifies design, development, production, and logistics into a single, digital platform. It provides tools and support to automate and optimize the supply chain from start to finish. CALA also offers a network of designers and suppliers, as well as AI-powered design tools to help generate moodboards, fresh ideas, and more.

Buzz is an all-in-one sales engagement platform designed to help revenue teams engage more prospects and close more deals efficiently. It combines data sourcing, automation, and lead management to enable direct engagement with ideal clients. The platform offers features such as real-time inbox with detailed profile info, social outreach, email outreach, data enrichment, and pipeline management. Buzz also provides personalized AI assistance through a Chrome extension, allowing users to reach the right people at the right time through various channels. With seamless integrations and detailed reports, Buzz empowers users to make data-driven decisions and optimize their sales strategies.

Greenhouse is an AI-powered applicant tracking software and hiring platform that offers smart hiring tools to streamline the hiring process. It provides features such as AI tools for sourcing, texting solutions, and feature upgrades to help connect teams and propel success. Greenhouse is designed to help companies hire fairly and purposefully, offering expertise and advice to maximize hiring ROI and support business growth at any stage.

Pietra is a one-stop platform that provides tools and resources to help e-commerce brands save time and money. It offers a range of services, including AI-powered creative tools for product design, a marketplace of vetted factories for sourcing and manufacturing, order fulfillment infrastructure, e-commerce storefront creation, email capture, SMS marketing, affiliate marketing, data and dashboards, print on demand, and business planning tools. Pietra also offers weekly workshops with professionals to help users maximize their use of the platform.

Dropshipping Copilot is an AI-assisted tool for dropshippers and e-commerce enthusiasts. It offers data-driven insights, top product searches, and supplier sourcing to help users grow their sales and profits efficiently. With over 231,487 users, Dropshipping Copilot provides access to over 200 million trending products and 300,000 suppliers from AliExpress. Its AI-assisted product selection feature provides instant matches based on keywords, helping users expand their creative selection and improve accuracy with each pick. The tool also offers AI-powered image enhancement, title optimization, and Shopify sync for seamless product listing and inventory management. Dropshipping Copilot provides market intelligence, including trend detection, competitive analysis, and strategic insights, to help users refine their approach and gain an edge in the market. It also offers cost efficiency, profit growth, and informed supplier selection to help users maximize their margins. The tool's workflow automation features, such as auto-listing, bulk pricing, and real-time sync, streamline operations and save time. Dropshipping Copilot is designed to help users uncover new products, elevate their listings, equip themselves with data-driven insights, boost their margins, and streamline their workflow.

Gem is an AI recruiting platform that helps talent acquisition teams maximize productivity, hire faster, and save money. It offers solutions tailored to the needs of startups, growth companies, and enterprises, with features such as AI-powered CRM, sourcing, scheduling, analytics, and more. Gem unifies the recruiting tech stack, achieves outcome-driven recruitment, and proactively builds high-quality pipelines. The platform enhances productivity with ethical AI, improves equity in the hiring process, and drives predictability and efficiency in recruiting operations.

Social Champ is a social media management tool designed for agencies, startups, SMBs, entrepreneurs, marketers, and influencers. It offers powerful social media management capabilities with multiple automation features and integrations. Users can create, schedule, organize, and analyze multiple social accounts, manage conversations, and maximize exposure intelligently. The tool provides features such as publishing, calendar management, analytics tracking, engagement tools, and platform integrations. Social Champ aims to streamline social media efforts, boost productivity, and enhance effectiveness for social media marketing.

Rize is an AI productivity coach that uses time tracking to improve your focus and build better work habits. It analyzes your activity to advise you in real-time on when to focus, when to take breaks, and when you're getting off track. Rize provides you with the tools to deepen your ability to focus, including app & website blocking, focus music, a more flexible Pomodoro timer, and in-depth, personalized metrics. It also helps you build better work habits by alerting you at the ideal time to take a break and offering screen-blocking features to ensure these breaks are truly effective.

AdIntelli is an AI tool that helps users earn revenue from their AI Agent through in-chat ads. By leveraging advanced AI-driven monetization technology, AdIntelli maximizes the value of ad impressions across global ad networks, making it a prime channel for promoting AI applications. The platform offers seamless integration of ads into AI conversations, personalized user experiences, and no-code integration for quick setup.

AIHelp is a customer service support and in-app ticketing system that provides businesses with a variety of tools to improve their customer support operations. These tools include an AI chatbot, in-app chat and feedback, customizable AI forms, in-app operation, and more. AIHelp is designed to be easy to use and customize, and it can be integrated with a variety of platforms. It is a powerful tool that can help businesses improve their customer satisfaction and retention rates.

Newor Media is a programmatic ad management company that provides publishers with a full suite of ad monetization solutions to maximize their earnings using the industry’s most advanced AI-driven tech stack. With algorithmic real-time bidding, machine-learning, and a team of Ad Ops experts, Newor Media helps publishers increase their ad revenue while balancing user experience. The company has partnerships with all major networks and agencies, ensuring that publishers have access to the most diverse and quality-driven demand in the market.

Zopto is an AI-powered LinkedIn Automation & Omni-channel Sales Platform trusted by thousands of companies for driving sales through omni-channel outreach. The platform leverages advanced AI technology to streamline business development processes, removing guesswork and manual effort. With features like omnichannel campaigns, real-time reporting, secure prospecting, and an AI-powered campaign assistant named Zhoo, Zopto offers a comprehensive solution for lead generation and customer engagement. The platform's cloud-based software, proprietary platform, and unlimited support ensure a seamless user experience and efficient lead generation strategies.

ThumbnailAi is an AI tool designed to rate YouTube thumbnails in order to maximize clicks. It offers a user-friendly interface where users can upload an image and receive an AI-generated rating. The tool aims to help content creators optimize their thumbnails for better engagement and visibility on the platform. Developed with a low-code approach using Sktch.io, ThumbnailAi is a handy solution for improving the performance of YouTube videos through data-driven thumbnail selection.

Saara Inc offers AI tools for eCommerce to maximize profits by reducing returns, cutting costs, boosting loyalty, and increasing profits through AI-powered automation and smart agents. Their solutions focus on tackling key challenges in eCommerce such as high return rates, rising operational costs, and customer churn. By improving loyalty, reducing expenses, and streamlining processes with smart automation and AI agents, Saara Inc enables businesses to achieve sustainable growth and long-term profitability.

ClimateAi is an AI-powered platform that helps businesses in the food and agriculture industry to minimize climate risk and maximize future opportunities. The platform utilizes AI and patented models to analyze climate and weather data from various sources, providing actionable insights to users across the value chain. ClimateAi enables users to make informed decisions, adapt operations, source smarter, and invest confidently without requiring data science expertise.

ArtificialStudio is an AI-powered platform that enables users to create multimedia content with the help of artificial intelligence technology. The platform offers a wide range of AI models for creating images, music, text, and videos, all in one place. Users can enhance their creativity and push the limits of what they can achieve by leveraging the power of AI. With a user-friendly interface and quick setup process, ArtificialStudio is designed to maximize user creativity and efficiency in content creation.

Laxis is a revolutionary AI Meeting Assistant designed to capture and distill key insights from every customer interaction effortlessly. It seamlessly integrates across platforms, from online meetings to CRM updates, all with a user-friendly interface. Laxis empowers revenue teams to maximize every customer conversation, ensuring no valuable detail is missed. With Laxis, sales teams can close more deals with AI note-taking and insights from client conversations, business development teams can engage prospects more effectively and grow their business faster, marketing teams can repurpose podcasts, webinars, and meetings into engaging content with a single click, product and market researchers can conduct better research interviews that get to the "aha!" moment faster, project managers can remember key takeaways and status updates, and capture them for progress reports, and product and UX designers can capture and organize insights from their interviews and user research.

Sylph AI is an AI tool designed to maximize the potential of LLM applications by providing an auto-optimization library and an AI teammate to assist users in navigating complex LLM workflows. The tool aims to streamline the process of building LLM task pipelines, from model fine-tuning to hyperparameter optimization and auto-data labeling. Sylph AI is developed to address the challenges faced by LLM researchers and startup founders in managing and optimizing their projects efficiently.

RetentionX is a customer retention platform designed for consumer brands aiming to excel in the digital era. It helps businesses prevent churn, increase retention, optimize acquisition, maximize sell-through, automate workflows, and reduce costs by centralizing customer data and decision-making processes. The platform leverages AI to provide actionable insights, analytics, and segmentation capabilities to enhance customer relationships and drive revenue growth.

The 𝓜𝓔𝓥-𝓑𝓞𝓣 is a revolutionary tool that empowers users to maximize their ETH earnings through advanced slippage techniques within the Ethereum ecosystem. Its user-centric design, optimized earning mechanism, and comprehensive security measures make it an indispensable tool for traders seeking to enhance their crypto trading strategies. With its current free access, there's no better time to explore the 𝓜𝓔𝓥-𝓑𝓞𝓣's capabilities and witness the transformative impact it can have on your crypto trading journey.

ChatGPT Shortcut is an AI tool designed to maximize efficiency and productivity by providing a concise list of AI instructions. Users can easily find prompts suitable for various scenarios, boosting productivity and work efficiency. The tool offers one-click prompts, optimization for non-English languages, prompt saving and sharing, and a community voting system. It includes a browser extension compatible with Chrome, Edge, Firefox, and other Chromium-based browsers, as well as a Tampermonkey script for custom domain use. The tool is open-source, allowing users to modify the website's nomenclature, usage directives, and prompts for different languages.

WebDB is a comprehensive and free database Integrated Development Environment (IDE) designed to maximize efficiency in database development and management. It simplifies and enhances database operations with features like DBMS discovery, query editor, time machine, NoSQL structure inferring, modern ERD visualization, and intelligent data generator. Developed with robust web technologies, WebDB is suitable for both novice and experienced database professionals.

Pwnagotchi is an AI tool leveraging bettercap to learn from WiFi environments and maximize crackable WPA key material. It uses LSTM with MLP feature extractor for A2C agent, learning over epochs to improve performance in various WiFi environments. Units can cooperate using a custom parasite protocol. Visit https://www.pwnagotchi.ai for documentation and community links.

Stake-auto-bot is a tool designed for automated staking in the cryptocurrency space. It allows users to set up automated processes for staking their digital assets, providing a convenient way to earn rewards and secure networks. The tool simplifies the staking process by automating the necessary steps, such as selecting validators, delegating tokens, and monitoring rewards. With Stake-auto-bot, users can optimize their staking strategies and maximize their returns with minimal effort.

TokenFormer is a fully attention-based neural network architecture that leverages tokenized model parameters to enhance architectural flexibility. It aims to maximize the flexibility of neural networks by unifying token-token and token-parameter interactions through the attention mechanism. The architecture allows for incremental model scaling and has shown promising results in language modeling and visual modeling tasks. The codebase is clean, concise, easily readable, state-of-the-art, and relies on minimal dependencies.

This repository contains assets related to AI/ML workloads on Google Kubernetes Engine (GKE). Run optimized AI/ML workloads with Google Kubernetes Engine (GKE) platform orchestration capabilities. A robust AI/ML platform considers the following layers: Infrastructure orchestration that support GPUs and TPUs for training and serving workloads at scale Flexible integration with distributed computing and data processing frameworks Support for multiple teams on the same infrastructure to maximize utilization of resources

This repository contains code and results for jailbreaking leading safety-aligned LLMs with simple adaptive attacks. We show that even the most recent safety-aligned LLMs are not robust to simple adaptive jailbreaking attacks. We demonstrate how to successfully leverage access to logprobs for jailbreaking: we initially design an adversarial prompt template (sometimes adapted to the target LLM), and then we apply random search on a suffix to maximize the target logprob (e.g., of the token ``Sure''), potentially with multiple restarts. In this way, we achieve nearly 100% attack success rate---according to GPT-4 as a judge---on GPT-3.5/4, Llama-2-Chat-7B/13B/70B, Gemma-7B, and R2D2 from HarmBench that was adversarially trained against the GCG attack. We also show how to jailbreak all Claude models---that do not expose logprobs---via either a transfer or prefilling attack with 100% success rate. In addition, we show how to use random search on a restricted set of tokens for finding trojan strings in poisoned models---a task that shares many similarities with jailbreaking---which is the algorithm that brought us the first place in the SaTML'24 Trojan Detection Competition. The common theme behind these attacks is that adaptivity is crucial: different models are vulnerable to different prompting templates (e.g., R2D2 is very sensitive to in-context learning prompts), some models have unique vulnerabilities based on their APIs (e.g., prefilling for Claude), and in some settings it is crucial to restrict the token search space based on prior knowledge (e.g., for trojan detection).

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

This repository contains code for the O'Reilly Live Online Training for Deploying GPT & LLMs. Learn how to use GPT-4, ChatGPT, OpenAI embeddings, and other large language models to build applications for experimenting and production. Gain practical experience in building applications like text generation, summarization, question answering, and more. Explore alternative generative models such as Cohere and GPT-J. Understand prompt engineering, context stuffing, and few-shot learning to maximize the potential of GPT-like models. Focus on deploying models in production with best practices and debugging techniques. By the end of the training, you will have the skills to start building applications with GPT and other large language models.

Atom is an accurate low-bit weight-activation quantization algorithm that combines mixed-precision, fine-grained group quantization, dynamic activation quantization, KV-cache quantization, and efficient CUDA kernels co-design. It introduces a low-bit quantization method, Atom, to maximize Large Language Models (LLMs) serving throughput with negligible accuracy loss. The codebase includes evaluation of perplexity and zero-shot accuracy, kernel benchmarking, and end-to-end evaluation. Atom significantly boosts serving throughput by using low-bit operators and reduces memory consumption via low-bit quantization.

Awesome OpenVINO is a curated list of AI projects based on the OpenVINO toolkit, offering a rich assortment of projects, libraries, and tutorials covering various topics like model optimization, deployment, and real-world applications across industries. It serves as a valuable resource continuously updated to maximize the potential of OpenVINO in projects, featuring projects like Stable Diffusion web UI, Visioncom, FastSD CPU, OpenVINO AI Plugins for GIMP, and more.

llmcord.py enables collaborative LLM prompting in your Discord server. It works with practically any LLM, remote or locally hosted. ### Features ### Reply-based chat system Just @ the bot to start a conversation and reply to continue. Build conversations with reply chains! You can do things like: - Build conversations together with your friends - "Rewind" a conversation simply by replying to an older message - @ the bot while replying to any message in your server to ask a question about it Additionally: - Back-to-back messages from the same user are automatically chained together. Just reply to the latest one and the bot will see all of them. - You can seamlessly move any conversation into a thread. Just create a thread from any message and @ the bot inside to continue. ### Choose any LLM Supports remote models from OpenAI API, Mistral API, Anthropic API and many more thanks to LiteLLM. Or run a local model with ollama, oobabooga, Jan, LM Studio or any other OpenAI compatible API server. ### And more: - Supports image attachments when using a vision model - Customizable system prompt - DM for private access (no @ required) - User identity aware (OpenAI API only) - Streamed responses (turns green when complete, automatically splits into separate messages when too long, throttled to prevent Discord ratelimiting) - Displays helpful user warnings when appropriate (like "Only using last 20 messages", "Max 5 images per message", etc.) - Caches message data in a size-managed (no memory leaks) and per-message mutex-protected (no race conditions) global dictionary to maximize efficiency and minimize Discord API calls - Fully asynchronous - 1 Python file, ~200 lines of code

MaixPy is a Python SDK that enables users to easily create AI vision projects on edge devices. It provides a user-friendly API for accessing NPU, making it suitable for AI Algorithm Engineers, STEM teachers, Makers, Engineers, Students, Enterprises, and Contestants. The tool supports Python programming, MaixVision Workstation, AI vision, video streaming, voice recognition, and peripheral usage. It also offers an online AI training platform called MaixHub. MaixPy is designed for new hardware platforms like MaixCAM, offering improved performance and features compared to older versions. The ecosystem includes hardware, software, tools, documentation, and a cloud platform.

The NZT Poker AI Bot is an advanced tool designed to revolutionize poker gameplay by providing comprehensive features to dominate 17 rooms with the Cash Fish Monitor. It offers detailed analysis of opponents' VPIP and PFR, extensive hand history database, opponent exploitation techniques, data-driven intelligence, player profiles, advanced neural network technology, expert training, continuous refinement, and cutting-edge algorithms for maximizing poker profits. Created by a team of poker experts, this AI tool continuously adapts to the latest poker strategies and utilizes state-of-the-art technology to enhance decision-making prowess.

The Multipack sampler is a tool designed for padding-free distributed training of large language models. It optimizes batch processing efficiency using an approximate solution to the identical machine scheduling problem. The V2 update further enhances the packing algorithm complexity, achieving better throughput for a large number of nodes. It includes two variants for models with different attention types, aiming to balance sequence lengths and optimize packing efficiency. Users can refer to the provided benchmark for evaluating efficiency, utilization, and L^2 lag. The tool is compatible with PyTorch DataLoader and is released under the MIT license.

Swift OCR is a powerful tool for extracting text from PDF files using OpenAI's GPT-4 Turbo with Vision model. It offers flexible input options, advanced OCR processing, performance optimizations, structured output, robust error handling, and scalable architecture. The tool ensures accurate text extraction, resilience against failures, and efficient handling of multiple requests.

MaixCDK (Maix C/CPP Development Kit) is a C/C++ development kit that integrates practical functions such as AI, machine vision, and IoT. It provides easy-to-use encapsulation for quickly building projects in vision, artificial intelligence, IoT, robotics, industrial cameras, and more. It supports hardware-accelerated execution of AI models, common vision algorithms, OpenCV, and interfaces for peripheral operations. MaixCDK offers cross-platform support, easy-to-use API, simple environment setup, online debugging, and a complete ecosystem including MaixPy and MaixVision. Supported devices include Sipeed MaixCAM, Sipeed MaixCAM-Pro, and partial support for Common Linux.

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