Best AI tools for< Augment Prompts With External Data >

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.

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.

Augment is a personal AI assistant that helps you remember anything, type less, and read faster. It works inside all the apps you know and love, so you can stay focused on the task at hand. Augment is designed for macOS and is trusted by professionals from all walks of life.

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.

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.

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.

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.

Encounter AI is an automated ordering assistant designed specifically for restaurants and retail establishments. It aims to increase staff capacity and productivity by providing a robust voice solution to enhance the drive-thru experience. The AI technology enables operators to optimize existing resources, such as human capital or technology assets, to improve profitability. Encounter AI is 'kaizen' in nature, continuously learning through machine learning to stay updated on menu items and ordering preferences, ultimately enhancing the customer experience.

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.

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.

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.

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.

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.

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.

Gemini AI is an AI and ML solutions provider that focuses on accelerating innovation through artificial intelligence. They lead the revolution of artificial intelligence for augmented intelligence, leveraging cutting-edge AI and ML to solve challenging problems and augment human intelligence. Gemini AI specializes in areas such as computer vision, geospatial science, human health integrative technologies, and data & sensors. They offer services like data fusion, modeling, and deployment to provide actionable insights and predictive models. The company aims to drive AI for AI and enhance decision-making through advanced technologies.

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.

Beat Shaper is a generative AI tool for musicians that helps them create beats, basslines, melodies, and VST synthesizer presets. It is designed to augment human creativity and help artists overcome writer's block. Beat Shaper is currently in beta testing, but you can apply for early access on their website.

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.

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.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

Awesome Generative AI is a curated list of modern Generative Artificial Intelligence projects and services. Generative AI technology creates original content like images, sounds, and texts using machine learning algorithms trained on large data sets. It can produce unique and realistic outputs such as photorealistic images, digital art, music, and writing. The repo covers a wide range of applications in art, entertainment, marketing, academia, and computer science.

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.

LangChain is an amazing framework to get LLM projects done in a matter of no time, and the ecosystem is growing fast. Here is an attempt to keep track of the initiatives around LangChain. Subscribe to the newsletter to stay informed about the Awesome LangChain. We send a couple of emails per month about the articles, videos, projects, and tools that grabbed our attention Contributions welcome. Add links through pull requests or create an issue to start a discussion. Please read the contribution guidelines before contributing.

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.

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.

LLM Datasets is a repository containing high-quality datasets, tools, and concepts for LLM fine-tuning. It provides datasets with characteristics like accuracy, diversity, and complexity to train large language models for various tasks. The repository includes datasets for general-purpose, math & logic, code, conversation & role-play, and agent & function calling domains. It also offers guidance on creating high-quality datasets through data deduplication, data quality assessment, data exploration, and data generation techniques.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that enable AI models to securely interact with local and remote resources through standardized server implementations. The list includes production-ready and experimental servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

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.

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)

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