Best AI tools for< Augment With Domain Knowledge >

Prompt Engineering is a discipline focused on developing and optimizing prompts to efficiently utilize language models (LMs) for various applications and research topics. It involves skills to understand the capabilities and limitations of large language models, improving their performance on tasks like question answering and arithmetic reasoning. Prompt engineering is essential for designing robust prompting techniques that interact with LLMs and other tools, enhancing safety and building new capabilities by augmenting LLMs with domain knowledge and external tools.

The Human-Centred Artificial Intelligence Lab (Holzinger Group) is a research group focused on developing AI solutions that are explainable, trustworthy, and aligned with human values, ethical principles, and legal requirements. The lab works on projects related to machine learning, digital pathology, interactive machine learning, and more. Their mission is to combine human and computer intelligence to address pressing problems in various domains such as forestry, health informatics, and cyber-physical systems. The lab emphasizes the importance of explainable AI, human-in-the-loop interactions, and the synergy between human and machine intelligence.

Ideator is an AI-powered tool that helps designers and innovators generate creative ideas. It allows users to input a feature or interaction and then generates different variations of how it could be used, while keeping its main job the same. Ideator is still under development, but it has the potential to be a valuable tool for designers and innovators who are looking for new and creative ways to solve problems.

Aide is an AI platform designed to enhance customer support operations. It offers a range of features to help businesses gain insights into customer needs, automate support processes, improve agent efficiency, and train AI chatbots. Aide's key capabilities include customer insights, workflow automation, agent assist, and AI chatbots. With Aide, businesses can analyze customer conversations, identify pain points, and automate repetitive tasks to streamline support operations and improve customer satisfaction.

QuData is an AI and ML solutions provider that helps businesses enhance their value through AI/ML implementation, product design, QA, and consultancy services. They offer a range of services including ChatGPT integration, speech synthesis, speech recognition, image analysis, text analysis, predictive analytics, big data analysis, innovative research, and DevOps solutions. QuData has extensive experience in machine learning and artificial intelligence, enabling them to create high-quality solutions for specific industries, helping customers save development costs and achieve their business goals.

Crowdynews is an AI-powered user-generated content curation tool designed for digital publishers. It helps publishers augment their stories with trusted social media content, increasing engagement and conversion rates. The platform combines multiple social media sources, offers intelligent filters for content control, and provides easy-to-use experiences for publishers to drive audience engagement. Crowdynews is trusted by publishers and brands worldwide to enhance the social experience on their websites.

Dreamwave is an AI research lab developing new ways to augment human creativity with artificial intelligence. Its products include AI headshots, team headshots, and custom photo studios. AI headshots can be generated in minutes, and team headshots can be generated consistently to scale with growing companies. Custom photo studios allow users to generate new photos of themselves with any scene, outfit, or hair. Dreamwave is committed to empowering human creativity, safe and unbiased representation, and secure and private data.

Tome is an AI assistant designed specifically for sales professionals. It acts as a second brain, leveraging AI to analyze playbook and CRM data to help users identify strategic initiatives, key decision makers, and accounts that matter. With features like pinpointing accounts with growth indicators, understanding company financials, and crafting personalized outreach, Tome aims to enhance sales effectiveness and efficiency.

Sana is an AI company transforming how organizations learn and access knowledge. Its AI-first learning platform and knowledge assistant are designed for people teams that want to do learning differently. The platform offers integrations, solutions for employee onboarding, sales enablement, compliance training, leadership development, and external training. The knowledge assistant helps everyone work faster, think bigger, and achieve more. Sana's products are trusted by the world's most pioneering companies.

Swivl is an automation platform designed for self-storage businesses, offering intelligent automation solutions to streamline operations and enhance customer interactions. The platform leverages conversational AI technology to automate conversations with tenants, drive revenue, and augment workforce capabilities. Swivl aims to simplify the rental process, save costs, and increase revenue for self-storage operators while maintaining brand integrity. The platform is trusted by self-storage leaders for its ability to automate customer touchpoints, provide automated customer support and sales assistance, and enhance team productivity. With features like digital assistants, online self-service automation, inventory recommendations, call center deflection, and omni-channel experiences, Swivl is a comprehensive solution for self-storage businesses.

Giotto.ai is a Swiss-based company focused on building Artificial General Intelligence by combining Modern Machine Learning with Topological and Algebraic methods. They offer AI Strategy Consulting, AI Application Development, AI Model Integrations, AI R&D Services, and on-demand AI & Tech Talent Solutions. The company provides services to various industries such as Insurance, Finance, Logistics, Healthcare, Education, Retail, Manufacturing, and Defence. Giotto.ai aims to automate complex processes with a high level of robustness and explainability, driving innovation in the technological space.

Botsy is an AI chatbot builder designed for WhatsApp, enabling users to create conversational AI chatbots without the need for coding. It allows for natural conversations, brand customization, audience management, user data analysis, and knowledge augmentation. Botsy offers usage-based pricing with discounts for larger message bundles, along with hands-on training and tech support for customers. The platform aims to leverage AI for social impact by providing personalized AI services to communities in need.

Karla is an AI tool designed for journalists to enhance their writing process by utilizing Large Language Models (LLMs). It helps journalists transform news information into well-structured articles efficiently, augment their sources, customize stories seamlessly, enjoy a sleek editing experience, and export their completed stories easily. Karla acts as a wrapper around the LLM of choice, providing dynamic prompts and integration into a text editor and workflow, allowing journalists to focus on writing without manual prompt crafting. It offers benefits over traditional LLM chat apps by providing efficient prompt crafting, seamless integration, enhanced outcomes, faster performance, model flexibility, and relevant content tailored for journalism.

NextGenAI is an AI application focused on the financial services industry. It aims to challenge the current perception of AI and its role in banking and financial institutions. The platform explores innovative ways to augment human intelligence and propel the financial sector into the next generation of AI. Through a combination of keynotes, panels, demos, and workshops, NextGenAI facilitates discussions on AI regulations, industry best practices, and collaboration opportunities.

PandasAI is an open-source AI tool designed for conversational data analysis. It allows users to ask questions in natural language to their enterprise data and receive real-time data insights. The tool is integrated with various data sources and offers enhanced analytics, actionable insights, detailed reports, and visual data representation. PandasAI aims to democratize data analysis for better decision-making, offering enterprise solutions for stable and scalable internal data analysis. Users can also fine-tune models, ingest universal data, structure data automatically, augment datasets, extract data from websites, and forecast trends using AI.

SparkCognition Government Systems (SGS) is a full-spectrum artificial intelligence company dedicated to government and national defense missions. The company leverages AI technologies such as machine learning, natural language processing, and computer vision to enhance mission readiness, battle management, logistics, security, and manufacturing optimization. SparkCognition Government Systems focuses on delivering targeted AI solutions to amplify asset readiness, augment human intelligence, and accelerate decision-making processes for government organizations.

Remy is an AI-powered platform designed to help product security and compliance teams resolve security risks early. It offers scalable design review capabilities, automates review initiation, generates tailored questions, and provides clear metrics and audit trails. Remy aims to augment and scale product security teams by ensuring full visibility on risky engineering plans and automating tedious review processes. The platform is built for enterprise readiness, offering SSO for convenient logins, scalability, and customization.

Veritone is a leading provider of artificial intelligence (AI) solutions for businesses. Its flagship product, aiWARE, is an enterprise AI platform that provides access to hundreds of cognitive engines through one common software infrastructure. Veritone's AI solutions are used by businesses in a variety of industries, including media and entertainment, recruitment, government, legal and compliance, and sports. Veritone's mission is to augment the human workforce by transforming use-case concepts into tangible, industry-leading applications and solutions.

GitWit is an online tool that helps you build web apps quickly and easily, even if you don't have any coding experience. With GitWit, you can create a React app in minutes, and you can use AI to augment your own coding skills. GitWit supports React, Tailwind, and NodeJS, and it has generated over 1000 projects to date. GitWit can help you build any type of web app, from simple landing pages to complex e-commerce stores.

syntheticAIdata is a platform that provides synthetic data for training vision AI models. Synthetic data is generated artificially, and it can be used to augment existing real-world datasets or to create new datasets from scratch. syntheticAIdata's platform is easy to use, and it can be integrated with leading cloud platforms. The company's mission is to make synthetic data accessible to everyone, and to help businesses overcome the challenges of acquiring high-quality data for training their vision AI models.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

This repository contains a collection of papers related to tool learning with large language models (LLMs). The papers are organized according to the survey paper 'Tool Learning with Large Language Models: A Survey'. The survey focuses on the benefits and implementation of tool learning with LLMs, covering aspects such as task planning, tool selection, tool calling, response generation, benchmarks, evaluation, challenges, and future directions in the field. It aims to provide a comprehensive understanding of tool learning with LLMs and inspire further exploration in this emerging area.

This repository is dedicated to collecting and categorizing papers related to Retrieval-Augmented Generation (RAG) for AI-generated content. It serves as a survey repository based on the paper 'Retrieval-Augmented Generation for AI-Generated Content: A Survey'. The repository is continuously updated to keep up with the rapid growth in the field of RAG.

This repository is a curated collection of resources for fine-tuning Large Language Models (LLMs) like GPT, BERT, RoBERTa, and their variants. It includes tutorials, papers, tools, frameworks, and best practices to aid researchers, data scientists, and machine learning practitioners in adapting pre-trained models to specific tasks and domains. The resources cover a wide range of topics related to fine-tuning LLMs, providing valuable insights and guidelines to streamline the process and enhance model performance.

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

This repository contains the source code and datasets for Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs accepted to ACL 2024. It proposes a framework called Graph Chain-of-thought (Graph-CoT) to enable Language Models to traverse graphs step-by-step for reasoning, interaction, and execution. The motivation is to alleviate hallucination issues in Language Models by augmenting them with structured knowledge sources represented as graphs.

PyWhy-LLM is an innovative library that integrates Large Language Models (LLMs) into the causal analysis process, empowering users with knowledge previously only available through domain experts. It seamlessly augments existing causal inference processes by suggesting potential confounders, relationships between variables, backdoor sets, front door sets, IV sets, estimands, critiques of DAGs, latent confounders, and negative controls. By leveraging LLMs and formalizing human-LLM collaboration, PyWhy-LLM aims to enhance causal analysis accessibility and insight.

Awesome Agents is a curated list of open source AI agents designed for various tasks such as private interactions with documents, chat implementations, autonomous research, human-behavior simulation, code generation, HR queries, domain-specific research, and more. The agents leverage Large Language Models (LLMs) and other generative AI technologies to provide solutions for complex tasks and projects. The repository includes a diverse range of agents for different use cases, from conversational chatbots to AI coding engines, and from autonomous HR assistants to vision task solvers.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

This repository focuses on unraveling the sources that large language models tap into for attribution or citation. It delves into the origins of facts, their utilization by the models, the efficacy of attribution methodologies, and challenges tied to ambiguous knowledge reservoirs, biases, and pitfalls of excessive attribution.

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