Best AI tools for< Address Objections >

Verble is an AI speech-writing assistant that helps users master the art of verbal persuasion and storytelling. With over 7500 speeches written, Verble guides users through the process of creating impactful speeches for various occasions, from business pitches to wedding speeches. The tool offers a chat feature to kickstart the speech preparation, creates organized drafts based on user input, and provides smart editing techniques inspired by renowned speakers. Verble aims to empower individuals to share their stories effectively and confidently, offering a user-friendly interface and innovative speaker techniques.

Shufti Pro is an award-winning global identity verification platform that provides businesses with a suite of tools to verify the identities of their customers. The platform uses artificial intelligence (AI) to automate the identity verification process, making it faster, more accurate, and more secure. Shufti Pro's solutions are used by businesses in a variety of industries, including banking, fintech, crypto, forex, gaming, insurance, education, healthcare, e-commerce, and travel.

Hive AI provides a suite of AI models and solutions for understanding, searching, and generating content. Their AI models can be integrated into applications via APIs, enabling developers to add advanced content understanding capabilities to their products. Hive AI's solutions are used by businesses in various industries, including digital platforms, sports, media, and marketing, to streamline content moderation, automate image search and authentication, measure sponsorships, and monetize ad inventory.

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.

ThirdEye Data is a data and AI services & solutions provider that enables enterprises to improve operational efficiencies, increase production accuracies, and make informed business decisions by leveraging the latest Data & AI technologies. They offer services in data engineering, data science, generative AI, computer vision, NLP, and more. ThirdEye Data develops bespoke AI applications using the latest data science technologies to address real-world industry challenges and assists enterprises in leveraging generative AI models to develop custom applications. They also provide AI consulting services to explore potential opportunities for AI implementation. The company has a strong focus on customer success and has received positive reviews and awards for their expertise in AI, ML, and big data solutions.

Iambic Therapeutics is a cutting-edge AI-driven drug discovery platform that tackles the most challenging design problems in drug discovery, addressing unmet patient need. Its physics-based AI algorithms drive a high-throughput experimental platform, converting new molecular designs to new biological insights each week. Iambic's platform optimizes target product profiles, exploring multiple profiles in parallel to ensure that molecules are designed to solve the right problems in disease biology. It also optimizes drug candidates, deeply exploring chemical space to reveal novel mechanisms of action and deliver diverse high-quality leads.

Google.org is a philanthropic organization that aims to bring the best of Google to help solve humanity's biggest challenges. They combine funding, innovation, and technical expertise to support underserved communities and provide opportunities for everyone. The organization focuses on using AI to address various issues, such as increasing college graduation rates, supporting robotics programs for middle schoolers, and funding projects that align with the UN's Sustainable Development Goals. Google.org is committed to making long-term investments in social impact initiatives, including racial justice and COVID-19 relief efforts. They collaborate with innovative nonprofits and social enterprises to amplify their impact using Google's resources.

Figure is a pioneering AI robotics company that is revolutionizing the global workforce by introducing a general-purpose humanoid robot. By combining cutting-edge AI technology with the dexterity of the human form, Figure aims to enhance human capabilities, address labor shortages, and improve workplace safety. The company's innovative approach to robotics is reshaping industries such as manufacturing, logistics, warehousing, and retail. With a team of experts boasting over 100 years of combined experience in AI and humanoid robotics, Figure is at the forefront of the AI revolution.

Ocrolus is an intelligent document automation software that leverages AI-driven document processing automation with Human-in-the-Loop. It helps in classifying, capturing, detecting, and analyzing various types of documents to streamline processes and make faster and more accurate financial decisions. The software is designed to assist in cash flow analysis, income verification, address validation, employment data retrieval, and identity confirmation across different industries such as small business lending, mortgage, consumer finance, and multifamily housing.

The Coalition for Health AI (CHAI) is an AI application that provides guidelines for the responsible use of AI in health. It focuses on developing best practices and frameworks for safe and equitable AI in healthcare. CHAI aims to address algorithmic bias and collaborates with diverse stakeholders to drive the development, evaluation, and appropriate use of AI in healthcare.

Disprz is a Skills & Learning Platform designed to accelerate onboarding, job readiness, career mobility, and upskilling/reskilling to address talent gaps. It offers AI-driven personalized skilling, mobile-first frontline enablement, feature-rich mobile learning, decision support dashboard & analytics, and a marketplace ecosystem. The platform simplifies skills and roles, provides market intelligence on trending skills, and helps in identifying critical skills aligned with business strategy. It enables personalized learning experiences, career growth opportunities, leadership talent pipeline creation, and data-driven decision-making for learning investments.

World Summit AI is the most important summit for the development of strategies on AI, spotlighting worldwide applications, risks, benefits, and opportunities. It gathers global AI ecosystem stakeholders to set the global AI agenda in Amsterdam every October. The summit covers groundbreaking stories of AI in action, deep-dive tech talks, moonshots, responsible AI, and more, focusing on human-AI convergence, innovation in action, startups, scale-ups, and unicorns, and the impact of AI on economy, employment, and equity. It addresses responsible AI, governance, cybersecurity, privacy, and risk management, aiming to deploy AI for good and create a brighter world. The summit features leading innovators, policymakers, and social change makers harnessing AI for good, exploring AI with a conscience, and accelerating AI adoption. It also highlights generative AI and limitless potential for collaboration between man and machine to enhance the human experience.

Omdena is an AI platform that focuses on building AI solutions for real-world problems through global collaboration. They offer services ranging from local AI development to enterprise-level products, fostering talent development, and enabling AI professionals to make a positive impact. Omdena runs AI innovation challenges, deployment & product engineering, enterprise AI solutions, and grassroots AI initiatives. The platform empowers learners with quality education in machine learning and artificial intelligence, removing financial and geographic barriers. Omdena has successfully developed over 650 solutions, worked with 250+ organizations, and is trusted by impact-driven organizations worldwide.

Cresta AI is a generative AI platform built for the contact center and trained on your data. It provides a suite of products that use AI to improve contact center performance, including Conversation Intelligence, Agent Assist, Knowledge Assist, and Virtual Agent. Cresta AI is used by leading companies in a variety of industries, including financial services, healthcare, and retail.

Mainstay is a Student Success Coaching platform that combines human-centered approaches with AI technology to guide learners towards success. The platform provides personalized success coaching for students, saves time for staff, and offers insights for institutional leaders to understand and respond to student needs instantly. Mainstay uses the Science of Coaching and the SPARK Coaching Model to elevate student and staff performance. The platform focuses on human connections, belonging, and success for all learners by addressing barriers and engaging students with cultural relevance and personalization.

DEUS is a data and artificial intelligence company that empowers organizations to advance value creation by unlocking the true value within their data and applying AI services. They offer services in data science, engineering, design, and strategy, partnering with organizations to benefit people, business, and society. DEUS also focuses on addressing wicked problems and societal challenges through human-centered artificial intelligence initiatives. They help organizations launch AI projects that create real value and partner across the product and service lifecycle.

Candor is an AI-powered team feedback platform that helps businesses improve team culture and performance. It offers a range of features including team retrospectives, check-ins, anonymous feedback, 1:1s, and 360 surveys. Candor's AI-driven insights help businesses identify and address issues within their teams, and its user-friendly interface makes it easy to set up and use. Candor is a valuable tool for any business looking to improve team communication, collaboration, and productivity.

RebeccAi is an AI-powered business idea evaluation and validation tool that leverages AI technology to provide accurate insights into the potential of users' ideas. It helps users refine and improve their ideas quickly and intelligently, acting as a one-person team for their business dreams. From evaluating business ideas to creative projects, RebeccAi assists users in innovating faster and smarter, revolutionizing idea validation with the power of AI.

Tusk is an AI coding agent designed to assist software engineers in fixing bugs and completing chore tickets efficiently. It automates code generation, code reviews, and testing processes, allowing engineers to focus on more critical tasks. Tusk integrates with popular tools like Linear, Jira, Notion, and GitHub to streamline the development workflow. The application is praised for its ability to handle minor bug fixes, UI/UX improvements, and code changes effectively, saving time and effort for engineering teams.

The website focuses on the intersection of artificial intelligence (AI) and inclusion, exploring the impact of AI technologies on marginalized populations and global digital inequalities. It provides resources, research findings, and ideas on themes like health, education, and humanitarian crisis mitigation. The site showcases the work of the Ethics and Governance of AI initiative in collaboration with the MIT Media Lab, incorporating perspectives from experts in the field. It aims to address challenges and opportunities related to AI and inclusion through research, events, and multi-stakeholder dialogues.

SalesGPT is an open-source AI agent designed for sales, utilizing context-awareness and LLMs to work across various communication channels like voice, email, and texting. It aims to enhance sales conversations by understanding the stage of the conversation and providing tools like product knowledge base to reduce errors. The agent can autonomously generate payment links, handle objections, and close sales. It also offers features like automated email communication, meeting scheduling, and integration with various LLMs for customization. SalesGPT is optimized for low latency in voice channels and ensures human supervision where necessary. The tool provides enterprise-grade security and supports LangSmith tracing for monitoring and evaluation of intelligent agents built on LLM frameworks.

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.

ENOVA is an open-source service for Large Language Model (LLM) deployment, monitoring, injection, and auto-scaling. It addresses challenges in deploying stable serverless LLM services on GPU clusters with auto-scaling by deconstructing the LLM service execution process and providing configuration recommendations and performance detection. Users can build and deploy LLM with few command lines, recommend optimal computing resources, experience LLM performance, observe operating status, achieve load balancing, and more. ENOVA ensures stable operation, cost-effectiveness, efficiency, and strong scalability of LLM services.

FinRobot is an open-source AI agent platform designed for financial applications using large language models. It transcends the scope of FinGPT, offering a comprehensive solution that integrates a diverse array of AI technologies. The platform's versatility and adaptability cater to the multifaceted needs of the financial industry. FinRobot's ecosystem is organized into four layers, including Financial AI Agents Layer, Financial LLMs Algorithms Layer, LLMOps and DataOps Layers, and Multi-source LLM Foundation Models Layer. The platform's agent workflow involves Perception, Brain, and Action modules to capture, process, and execute financial data and insights. The Smart Scheduler optimizes model diversity and selection for tasks, managed by components like Director Agent, Agent Registration, Agent Adaptor, and Task Manager. The tool provides a structured file organization with subfolders for agents, data sources, and functional modules, along with installation instructions and hands-on tutorials.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

The `sec-parser` project simplifies extracting meaningful information from SEC EDGAR HTML documents by organizing them into semantic elements and a tree structure. It helps in parsing SEC filings for financial and regulatory analysis, analytics and data science, AI and machine learning, causal AI, and large language models. The tool is especially beneficial for AI, ML, and LLM applications by streamlining data pre-processing and feature extraction.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

WritingAIPaper is a comprehensive guide for beginners on crafting AI conference papers. It covers topics like paper structure, core ideas, framework construction, result analysis, and introduction writing. The guide aims to help novices navigate the complexities of academic writing and contribute to the field with clarity and confidence. It also provides tips on readability improvement, logical strength, defensibility, confusion time reduction, and information density increase. The appendix includes sections on AI paper production, a checklist for final hours, common negative review comments, and advice on dealing with paper rejection.

A repository sharing the panorama of the methodology literature on Transformer architecture upgrades in Large Language Models for handling extensive context windows, with real-time updating the newest published works. It includes a survey on advancing Transformer architecture in long-context large language models, flash-ReRoPE implementation, latest news on data engineering, lightning attention, Kimi AI assistant, chatglm-6b-128k, gpt-4-turbo-preview, benchmarks like InfiniteBench and LongBench, long-LLMs-evals for evaluating methods for enhancing long-context capabilities, and LLMs-learning for learning technologies and applicated tasks about Large Language Models.

JSON Repair is a toolkit designed to address JSON anomalies that can arise from Large Language Models (LLMs). It offers a comprehensive solution for repairing JSON strings, ensuring accuracy and reliability in your data processing. With its user-friendly interface and extensive capabilities, JSON Repair empowers developers to seamlessly integrate JSON repair into their workflows.

StableToolBench is a new benchmark developed to address the instability of Tool Learning benchmarks. It aims to balance stability and reality by introducing features such as a Virtual API System with caching and API simulators, a new set of solvable queries determined by LLMs, and a Stable Evaluation System using GPT-4. The Virtual API Server can be set up either by building from source or using a prebuilt Docker image. Users can test the server using provided scripts and evaluate models with Solvable Pass Rate and Solvable Win Rate metrics. The tool also includes model experiments results comparing different models' performance.

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