Best AI tools for< Develop New Strategies >

StandardNodeAI is an AI application that offers end-to-end sales systems utilizing AI to help businesses scale without huge costs. It provides bespoke AI solutions, AI chat agents, and tools to optimize operations, streamline workflows, and automate tasks. The application also offers AI models to gain actionable insights, custom solutions to save time and increase revenue, and LLM's to improve work productivity. StandardNodeAI replaces manual staff timings with 24/7 customer support and lead qualification, making it easier for clients to manage leads effectively. The application aims to revolutionize businesses by harnessing the efficiency of AI and providing tailored solutions for startups and businesses.

Grow My Small Business - AI is an AI-powered platform that helps small businesses refine their expansion plans, understand market trends, mitigate risks, and develop new offerings. It provides market expansion insights, competitive edge analysis, risk assessment, customized growth strategies, and expert advisors to support business growth. The platform offers idea evaluation packages, personalized growth strategies, and customer support to assist small businesses in scaling effectively and efficiently.

The Center for a New American Security (CNAS) is a bipartisan, non-profit think tank that focuses on national security and defense policy. CNAS conducts research, analysis, and policy development on a wide range of topics, including defense strategy, nuclear weapons, cybersecurity, and energy security. CNAS also provides expert commentary and analysis on current events and policy debates.

Prompt Storm is a powerful and easy-to-use Artificial Intelligence Chrome extension designed for ChatGPT, Google's Gemini, and Anthropic's Claude. It unlocks the potential of revolutionary AI technology by providing skillfully crafted prompts for various purposes such as acquiring new knowledge, enhancing productivity, developing marketing strategies, speeding up project development, and receiving expert advice. With Prompt Storm, users can unleash the power of AI to improve productivity and expand their knowledge base.

VenturusAI is a tool that provides instant feedback on your business ideas. It uses GPT-3.5 and GPT-4 to generate an analysis of your idea and give you feedback on how to make it successful. The tool offers a comprehensive business analysis, including SWOT, PESTEL, and Porter's Five Forces assessments. It also provides valuable insights into your target audience, complete with user stories and demographic data. Additionally, VenturusAI offers business strategy recommendations, framework suggestions, and requirements analysis. It also explores marketing strategy and branding advice, including slogan ideas and social media post examples. The tool is user-friendly and easy to navigate, making it the perfect tool for any business owner or entrepreneur looking to take their ideas to the next level.

Retorio is a cutting-edge Behavioral Intelligence (BI) Platform that fuses machine learning with scientific findings from psychology and organizational research to ultimately take learning and development to a new level within organizations. At the core of Retorio’s capabilities are its AI-powered immersive video simulations. Through these engaging role-plays, learners using Retorio get to train and develop the necessary skills through realistic scenarios. Furthermore, the personalized, on-demand feedback learners receive allows for immediate behavior change and performance improvement. Retorio’s training platform transcends the limitation of scalability and redefines how individuals and teams train and develop, bringing talent development to a new dimension.

Copper Key is an AI Marketing + Immersive Experience Agency that helps brands succeed on the web by utilizing new technology for marketing and storytelling. They create fresh content experiences to build a vibrant community that evolves with the brand's journey. The agency combines the creative force of humans with generative AI to develop content systems and immersive experiences for brands. They offer services like crafting captivating stories, building immersive experiences, and integrating AI into marketing strategies.

ProAI is an AI-powered platform that offers tailored solutions for starting, growing, and funding businesses. It provides tools for business planning, funding, market research, and an AI-based business advisor. The platform integrates resources to develop strategic plans, raise capital, optimize positioning, and provide on-demand guidance for growth. ProAI's AI Business Advisor offers customized recommendations and advice based on continuous analysis of data and metrics, helping businesses increase revenue, scale into new markets, and refine strategies.

PrepSup is a powerful AI-powered learning platform that provides students with personalized study materials, an AI tutor, and a PDF analyzer to help them excel in their studies. With PrepSup, students can create and share flashcards, access a vast library of pre-made flashcards, and get instant feedback on their progress. The AI tutor provides personalized recommendations and guidance, helping students identify areas for improvement and develop effective study strategies. The PDF analyzer extracts key concepts and insights from PDFs, making it easier for students to understand and retain information. Whether you're preparing for a test, writing a paper, or simply trying to learn a new subject, PrepSup is the perfect tool to help you succeed.

Nextatlas is an AI-powered trend forecasting service that helps businesses understand, innovate, launch, make, and win. It provides data-rich trend prediction built through analysis on the interests and behaviors from the consumers that drive change, experts, and innovators. Nextatlas' AI can quickly be tailored to your specific business challenges and uncover attractive business opportunities. It brings you to findings that represent what will happen in the future, that you cannot know when you begin searching.

Matrix AI Consulting Services is an expert AI consultancy firm based in New Zealand, offering bespoke AI consulting services to empower businesses and government entities to embrace responsible AI. With over 24 years of experience in transformative technology, the consultancy provides services ranging from AI business strategy development to seamless integration, change management, training workshops, and governance frameworks. Matrix AI Consulting Services aims to help organizations unlock the full potential of AI, enhance productivity, streamline operations, and gain a competitive edge through the strategic implementation of AI technologies.

The OECD Observatory of Public Sector Innovation (OPSI) is a website that provides resources and tools to help governments and public servants explore new possibilities for innovation. OPSI's work areas include European Commission Collaboration, Anticipatory Innovation, Cross-Border Government Innovation, Behavioural Insights, Innovative Capacity, Innovation Trends, Innovation Portfolios, Mission-Oriented Innovation, Innovation Management, and Systems Approaches. OPSI also has a number of resources available, including a Toolkit Navigator, Case Study Library, Portfolio Exploration Tool, and Anticipatory Innovation Resource (AIR).

Dewey is an AI accountability buddy application designed to help users manage their to-do lists, develop new habits, and stay organized and productive. By sending text message reminders and providing goal tracking, Dewey acts as a virtual assistant to keep users on track and motivated. Users can converse with Dewey to prioritize tasks, receive personalized reminders, and get answers to simple questions, all aimed at enhancing productivity and time management.

The Institute for Protein Design is a research institute at the University of Washington that uses computational design to create new proteins that solve modern challenges in medicine, technology, and sustainability. The institute's research focuses on developing new protein therapeutics, vaccines, drug delivery systems, biological devices, self-assembling nanomaterials, and bioactive peptides. The institute also has a strong commitment to responsible AI development and has developed a set of principles to guide its use of AI in research.

Aflow is an AI-driven service designed to help artists enhance their productivity and creativity. It aims to simplify the artistic process by enabling users to focus on what truly matters, such as developing skills, creating content, and achieving goals. With Aflow, users can get into a flow state where they can be more efficient and effective in their work. The platform provides a supportive environment for artists to grow and succeed, offering a range of features to inspire and motivate them.

Insitro is a drug discovery and development company that uses machine learning and data to identify and develop new medicines. The company's platform integrates in vitro cellular data produced in its labs with human clinical data to help redefine disease. Insitro's pipeline includes wholly-owned and partnered therapeutic programs in metabolism, oncology, and neuroscience.

88stacks is a website that provides resources and tools for mastering Generative AI and Stable Diffusion. It offers a variety of software tools, tutorials, and databases to help users create and understand generative AI images. The website also publishes free designs and concepts created using generative AI.

Google Research is a team of scientists and engineers working on a wide range of topics in computer science, including artificial intelligence, machine learning, and quantum computing. Our mission is to advance the state of the art in these fields and to develop new technologies that can benefit society. We publish hundreds of research papers each year and collaborate with researchers from around the world. Our work has led to the development of many new products and services, including Google Search, Google Translate, and Google Maps.

Gastrograph AI is a cutting-edge artificial intelligence platform that empowers food and beverage companies to optimize their products for consistent market success. Leveraging the world's largest sensory database, Gastrograph AI provides deep insights into consumer preferences, enabling companies to develop new products, enter new markets, and optimize existing products with confidence. With Gastrograph AI, companies can reduce time to market costs, simplify product development, and gain access to trustworthy insights, leading to measurable results and a competitive edge in the global marketplace.

Atomwise is an artificial intelligence (AI)-driven drug discovery company that uses machine learning to discover and develop new small molecule medicines. The company's AI engine combines the power of convolutional neural networks with massive chemical libraries to identify new drug candidates. Atomwise has a wholly owned pipeline of drug discovery programs and also partners with other pharmaceutical companies to co-develop drugs. The company's investors include prominent venture capital firms and pharmaceutical companies.

The Artificial Intelligence Controller Interface (AICI) lets you build Controllers that constrain and direct output of a Large Language Model (LLM) in real time. Controllers are flexible programs capable of implementing constrained decoding, dynamic editing of prompts and generated text, and coordinating execution across multiple, parallel generations. Controllers incorporate custom logic during the token-by-token decoding and maintain state during an LLM request. This allows diverse Controller strategies, from programmatic or query-based decoding to multi-agent conversations to execute efficiently in tight integration with the LLM itself.

ARTKIT is a Python framework developed by BCG X for automating prompt-based testing and evaluation of Gen AI applications. It allows users to develop automated end-to-end testing and evaluation pipelines for Gen AI systems, supporting multi-turn conversations and various testing scenarios like Q&A accuracy, brand values, equitability, safety, and security. The framework provides a simple API, asynchronous processing, caching, model agnostic support, end-to-end pipelines, multi-turn conversations, robust data flows, and visualizations. ARTKIT is designed for customization by data scientists and engineers to enhance human-in-the-loop testing and evaluation, emphasizing the importance of tailored testing for each Gen AI use case.

OpenCompass is a one-stop platform for large model evaluation, aiming to provide a fair, open, and reproducible benchmark for large model evaluation. Its main features include: * Comprehensive support for models and datasets: Pre-support for 20+ HuggingFace and API models, a model evaluation scheme of 70+ datasets with about 400,000 questions, comprehensively evaluating the capabilities of the models in five dimensions. * Efficient distributed evaluation: One line command to implement task division and distributed evaluation, completing the full evaluation of billion-scale models in just a few hours. * Diversified evaluation paradigms: Support for zero-shot, few-shot, and chain-of-thought evaluations, combined with standard or dialogue-type prompt templates, to easily stimulate the maximum performance of various models. * Modular design with high extensibility: Want to add new models or datasets, customize an advanced task division strategy, or even support a new cluster management system? Everything about OpenCompass can be easily expanded! * Experiment management and reporting mechanism: Use config files to fully record each experiment, and support real-time reporting of results.

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.

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

Engine Core is a project that demonstrates a pattern for enabling Large Language Models (LLMs) to undertake tasks with a dynamic system prompt and a collection of tool functions known as chat strategies. These strategies allow for the dynamic alteration of chat history, system prompts, and available tools on every run. The project includes example strategies such as demoStrategy, backendStrategy, and shellStrategy. Additionally, LLM integrations like Anthropic or OpenAI have been extracted into adapters to enable running the same app code and strategies while switching foundation models.

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.

ROSGPT_Vision is a new robotic framework designed to command robots using only two prompts: a Visual Prompt for visual semantic features and an LLM Prompt to regulate robotic reactions. It is based on the Prompting Robotic Modalities (PRM) design pattern and is used to develop CarMate, a robotic application for monitoring driver distractions and providing real-time vocal notifications. The framework leverages state-of-the-art language models to facilitate advanced reasoning about image data and offers a unified platform for robots to perceive, interpret, and interact with visual data through natural language. LangChain is used for easy customization of prompts, and the implementation includes the CarMate application for driver monitoring and assistance.

OpenRedTeaming is a repository focused on red teaming for generative models, specifically large language models (LLMs). The repository provides a comprehensive survey on potential attacks on GenAI and robust safeguards. It covers attack strategies, evaluation metrics, benchmarks, and defensive approaches. The repository also implements over 30 auto red teaming methods. It includes surveys, taxonomies, attack strategies, and risks related to LLMs. The goal is to understand vulnerabilities and develop defenses against adversarial attacks on large language models.

Ollama Colab Integration V4 is a tool designed to enhance the interaction and management of large language models. It allows users to quantize models within their notebook environment, access a variety of models through a user-friendly interface, and manage public endpoints efficiently. The tool also provides features like LiteLLM proxy control, model insights, and customizable model file templating. Users can troubleshoot model loading issues, CPU fallback strategies, and manage VRAM and RAM effectively. Additionally, the tool offers functionalities for downloading model files from Hugging Face, model conversion with high precision, model quantization using Q and Kquants, and securely uploading converted models to Hugging Face.

This repository is a collection of demos showcasing how to integrate tldraw with an LLM like GPT-4. It serves as a work in progress for inspiration and experimentation. Users can contribute new demos, prompts, strategies, and models. The installation process involves running 'npm install' to install dependencies. Usage instructions include creating OpenAI API keys and assistants on the platform.openai.com website, as well as setting up a '.env' file with necessary credentials. The server can be started with 'npm run dev'. The repository aims to demonstrate the potential synergy between tldraw and GPT-4 for various applications.

Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

Simulator Controller is a modular administration and controller application for Sim Racing, featuring a comprehensive plugin automation framework for external controller hardware. It includes voice chat capable Assistants like Virtual Race Engineer, Race Strategist, Race Spotter, and Driving Coach. The tool offers features for setup, strategy development, monitoring races, and more. Developed in AutoHotkey, it supports various simulation games and integrates with third-party applications for enhanced functionality.

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

LLM-Tuning is a collection of tools and resources for fine-tuning large language models (LLMs). It includes a library of pre-trained LoRA models, a set of tutorials and examples, and a community forum for discussion and support. LLM-Tuning makes it easy to fine-tune LLMs for a variety of tasks, including text classification, question answering, and dialogue generation. With LLM-Tuning, you can quickly and easily improve the performance of your LLMs on downstream tasks.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

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Assess your company's real appetite for new technologies or new ways of working methods

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