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.

Supascout is an AI-powered tool designed to analyze App Store reviews and provide actionable insights to help developers understand user feedback, prioritize features, and address pain-points. By leveraging AI technology, Supascout helps users gain a competitive edge by making informed decisions based on comprehensive data analysis. The tool scours through the most recent reviews in specific regions to offer valuable insights and recommendations for app improvement.

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.

NeuReality is an AI-centric solution designed to democratize AI adoption by providing purpose-built tools for deploying and scaling inference workflows. Their innovative AI-centric architecture combines hardware and software components to optimize performance and scalability. The platform offers a one-stop shop for AI inference, addressing barriers to AI adoption and streamlining computational processes. NeuReality's tools enable users to deploy, afford, use, and manage AI more efficiently, making AI easy and accessible for a wide range of applications.

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.

Transcriptmate is an AI-powered audio to text transcription tool that offers automatic transcription with high accuracy. Users can easily convert audio files to text in just 2 clicks, with the option to add features like diarization and AI content crafting. The tool supports multiple languages, provides transcriptions in various formats, and ensures safe payments. Transcriptmate is recommended by customers for its efficiency, accuracy, and user-friendly interface.

Dhisana AI is an AI-powered platform that offers AI Assistants to automate and scale essential roles across organizations, including marketing, sales, customer support, and operations. It enables users to automate tasks, boost productivity, simplify booking processes, collaborate efficiently, and organize and track information effortlessly. The platform provides efficient assistance, personalized customer interactions, and smart solutions to enhance business operations and drive growth.

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.

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.

Figure is a pioneering AI robotics company that is revolutionizing the industry by introducing a general-purpose humanoid robot to the global workforce. 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 is set to transform various sectors 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 shaping the future of work.

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.

Ocrolus is an intelligent document automation software that leverages AI-driven document processing automation with Human-in-the-Loop. It offers capabilities such as classifying, capturing, detecting, and analyzing documents, with use cases in cash flow, income, address, employment, and identity verification. Ocrolus caters to various industries like small business lending, mortgage, consumer finance, and multifamily housing. The platform provides resources for developers, including guides on income verification, fraud detection, and business process automation. Users can explore the API to build innovative customer experiences and make faster and more accurate financial decisions.

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.

The DARPA's Artificial Intelligence Cyber Challenge (AIxCC) is an AI-driven cybersecurity tool developed in collaboration with ARPA-H and various industry experts like Anthropic, Google, Microsoft, OpenAI, and others. It aims to safeguard critical software infrastructure by utilizing AI technology to enhance cybersecurity measures. The tool provides a platform for experts in AI and cybersecurity to come together and address the evolving threats in the digital landscape.

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Elsevier is an information analytics business that supports researchers and healthcare professionals in advancing science and improving healthcare outcomes. They provide high-quality data and analytics to help researchers, librarians, and research leaders address challenges at every stage of the research journey. Elsevier offers researcher tools, research management solutions, and evaluation services to enhance productivity and research impact.

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.

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.

Marvin is a lightweight AI toolkit for building natural language interfaces that are reliable, scalable, and easy to trust. Each of Marvin's tools is simple and self-documenting, using AI to solve common but complex challenges like entity extraction, classification, and generating synthetic data. Each tool is independent and incrementally adoptable, so you can use them on their own or in combination with any other library. Marvin is also multi-modal, supporting both image and audio generation as well using images as inputs for extraction and classification. Marvin is for developers who care more about _using_ AI than _building_ AI, and we are focused on creating an exceptional developer experience. Marvin users should feel empowered to bring tightly-scoped "AI magic" into any traditional software project with just a few extra lines of code. Marvin aims to merge the best practices for building dependable, observable software with the best practices for building with generative AI into a single, easy-to-use library. It's a serious tool, but we hope you have fun with it. Marvin is open-source, free to use, and made with 💙 by the team at Prefect.

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.

AI-PhD-S25 is a mono-repo for the DOTE 6635 course on AI for Business Research at CUHK Business School. The course aims to provide a fundamental understanding of ML/AI concepts and methods relevant to business research, explore applications of ML/AI in business research, and discover cutting-edge AI/ML technologies. The course resources include Google CoLab for code distribution, Jupyter Notebooks, Google Sheets for group tasks, Overleaf template for lecture notes, replication projects, and access to HPC Server compute resource. The course covers topics like AI/ML in business research, deep learning basics, attention mechanisms, transformer models, LLM pretraining, posttraining, causal inference fundamentals, and more.

Mooncake is a serving platform for Kimi, a leading LLM service provided by Moonshot AI. It features a KVCache-centric disaggregated architecture that separates prefill and decoding clusters, leveraging underutilized CPU, DRAM, and SSD resources of the GPU cluster. Mooncake's scheduler balances throughput and latency-related SLOs, with a prediction-based early rejection policy for highly overloaded scenarios. It excels in long-context scenarios, achieving up to a 525% increase in throughput while handling 75% more requests under real workloads.

Moon Dev AI Agents for Trading is an experimental project exploring the potential of artificial financial intelligence for trading and investing research. The project aims to develop AI agents to complement and potentially replace human trading operations by addressing common trading challenges such as emotional reactions, ego-driven decisions, inconsistent execution, fatigue effects, impatience, and fear & greed cycles. The project focuses on research areas like risk control, exit timing, entry strategies, sentiment collection, and strategy execution. It is important to note that this project is not a profitable trading solution and involves substantial risk of loss.

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.

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