Best AI tools for< Anticipate Dividends >

Moning is a platform designed to help users manage and boost their wealth easily. It provides tools for a global view of wealth, making better investment decisions, avoiding costly mistakes, and increasing performance. With features like AI Analysis, Dividends calendar, and Dividend and Growth Safety Scores, Moning offers a mix of Human & Artificial Intelligence to enhance investment knowledge and decision-making. Users can track and manage their wealth through a comprehensive dashboard, access detailed information on stocks, ETFs, and cryptos, and benefit from quick screeners to find the best investment opportunities.

Trendingly is an AI-powered platform designed to help business leaders anticipate future trends by analyzing vast amounts of data from various sources. The platform leverages state-of-the-art AI technology to provide actionable insights and empower users to make informed decisions based on data-driven foresight.

Regology is an AI-powered Regulatory Intelligence Platform that offers industry-agnostic regulatory intelligence solutions. It provides automated tracking of regulatory changes, compliance management workflows, and generative AI assistance for regulatory requirements. The platform enables compliance teams to streamline processes, anticipate changes, and ensure ongoing compliance with laws and regulations. Regology's advanced AI technology eliminates manual tasks, enhances efficiency, and reduces risks associated with non-compliance. With a focus on maximizing compliance impact and work quality, Regology transforms the approach to regulatory compliance for organizations across various industries.

GoodFriend AI is an advanced AI tool that goes beyond traditional virtual assistants. It offers a wide range of features to enhance productivity and simplify daily tasks. With its cutting-edge technology, GoodFriend AI provides personalized assistance and support in various aspects of life, making it a valuable companion for users seeking efficiency and convenience.

Payfederate is an AI-powered compensation platform designed to streamline enterprise compensation management and optimize compensation strategies. It offers features such as job pricing, salary ranges, pay communications, and job offers. The platform leverages AI technology to address various compensation use cases and prevent pay disparities. Payfederate helps organizations enhance engagement and retention by providing fair and competitive compensation solutions.

SentinelOne is an advanced enterprise cybersecurity AI platform that offers a comprehensive suite of AI-powered security solutions for endpoint, cloud, and identity protection. The platform leverages AI technology to anticipate threats, manage vulnerabilities, and protect resources across the enterprise ecosystem. SentinelOne provides real-time threat hunting, managed services, and actionable insights through its unified data lake, empowering security teams to respond effectively to cyber threats. With a focus on automation, efficiency, and value maximization, SentinelOne is a trusted cybersecurity solution for leading enterprises worldwide.

Dynamic Yield is a personalization and experience optimization platform that helps businesses create personalized experiences for their customers across all digital channels. It uses AI and machine learning to algorithmically match content, products, and offers to each customer's preferences and anticipate future behavior. Dynamic Yield's Experience OS includes a suite of capabilities such as audience identification and segmentation, content personalization, product recommendations, A/B testing, and optimization. It integrates with a wide range of marketing and analytics tools and provides robust reporting and analytics to measure the impact of personalization efforts.

42Signals is an AI-driven eCommerce analytics software that provides real-time insights and analytics for consumer brands. It empowers businesses to anticipate market trends, monitor competitors, optimize digital shelves, and drive sales growth with unmatched accuracy and speed. The platform offers a suite of tools including Digital Shelf Analytics, Competitor Analysis, Voice of Customer Analytics, and more to help businesses dominate the digital marketplace.

SentinelOne is an advanced enterprise cybersecurity AI platform that offers a comprehensive suite of AI-powered security solutions for endpoint, cloud, and identity protection. The platform leverages artificial intelligence to anticipate threats, manage vulnerabilities, and protect resources across the entire enterprise ecosystem. With features such as Singularity XDR, Purple AI, and AI-SIEM, SentinelOne empowers security teams to detect and respond to cyber threats in real-time. The platform is trusted by leading enterprises worldwide and has received industry recognition for its innovative approach to cybersecurity.

HST Solutions is a trusted digital engineering and enterprise modernization partner that offers custom software development, AI applications, and data engineering services. They combine deep technical expertise and industry experience to help clients anticipate future needs and provide innovative solutions. The company focuses on delivering transformation and solving complex challenges with precision and innovation.

The website is an AI-powered cybersecurity platform that aims to empower and secure every user and every action. It provides total protection through an integrated cloud platform, offering features such as secure access to web and cloud apps, threat detection and mitigation, advanced data protection, secure remote worker solutions, and AI-powered security leveraging intelligence about user activity and devices. The platform helps businesses anticipate threats, manage vulnerabilities, and protect users worldwide.

CHAPTR is an innovative AI solutions provider that aims to redefine work and fuel human innovation. They offer AI-driven solutions tailored to empower, innovate, and transform work processes. Their products are designed to enhance efficiency, foster creativity, and anticipate change in the modern workforce. CHAPTR's solutions are user-centric, secure, customizable, and backed by the Holtzbrinck Publishing Group. They are committed to relentless innovation and continuous advancement in AI technology.

Stockaivisor is an AI-driven platform that offers comprehensive stock analysis, financial statement analysis, risk assessment, and predictive analytics for investors. With over 20,000 stocks and portfolios, the platform provides advanced insights through generative AI technology, predictive correlation models, and automated portfolio management. Stockaivisor empowers users to make informed decisions, anticipate market shifts, and optimize their investment strategies with data-driven trading signals. The platform also features dedicated customer support and tools for stock and portfolio screening, making it a valuable resource for both novice and experienced investors.

Moshi AI is a new voice assistant with advanced vocal capabilities that simulate human-like conversations. It can be used as a personal coach or companion, providing guidance and support in various scenarios. Moshi AI offers real-time voice interaction, efficient multimodal processing, and enhanced privacy and security features. The application is designed to enhance business operations, improve customer interactions, and streamline decision-making processes.

SuperAI is the premier AI event happening in Singapore on 5-6 June 2024. It is a highly anticipated conference that brings together industry leaders, entrepreneurs, researchers, and curious minds to explore and unveil the next wave of transformative AI technologies. The event features keynote addresses, panel discussions, live demos showcasing AI innovation, and networking sessions, providing attendees with valuable insights and opportunities to connect with professionals in the AI field. SuperAI aims to define the future of artificial intelligence and inspire engagement in the limitless possibilities of AI.

Lemmy is an autonomous AI tool designed to save users time by learning and assisting with their work, similar to a Fortune 500 executive assistant. It anticipates users' needs, connects with essential apps, transforms files, and autonomously completes tasks. With integrations to popular productivity apps like Notion, Slack, Google Docs, and GitHub, Lemmy offers data-driven insights and optimization suggestions. Users have full control over the data they connect, ensuring data security. Lemmy sends proactive messages based on task patterns and preferences, and can browse the web for additional information. Users can enhance Lemmy's responses by connecting integrations and uploading files for context.

Move AI is an AI-powered moving assistant that simplifies the relocation process by providing personalized moving blueprints, matching users with top-tier vendors, and overseeing every aspect of the move in real-time. The platform streamlines tasks, offers fixed quotes, and anticipates needs to ensure a smooth and efficient moving experience. Despite being AI-driven, Move AI also offers human support for personalized care and attention.

Copilot is a smart tech application designed for cyclists to enhance safety and provide peace of mind while riding. It leverages artificial intelligence to constantly monitor the road behind the cyclist, alerting them to approaching vehicles and potential dangers. Through a combination of audible and visual alerts, Copilot aims to prevent crashes and ensure a safer cycling experience. The application also features an Ultimate Protection System that records rides with video evidence, customizable audio alerts, and reactive light patterns to communicate with drivers. Copilot's advanced AI technology anticipates hazards before they occur, offering a comprehensive safety solution for cyclists.

Weave.AI is an AI-powered decision management tool designed to adapt to diverse challenges, from compliance and risk management to investment and sustainability. It offers a comprehensive solution for automating risk management, compliance, and due diligence at various levels, such as document, company, industry, sector, portfolio, or supply chain. Weave.AI leverages advanced AI technologies to provide dynamic insights, real-time data integration, and tailored actionable guidance for proactive crisis prevention and smarter decision-making. The tool features a Knowledge Graph, Agentic AI with self-learning agents, context-aware neuro-symbolic AI, and insights-to-action capabilities. With a focus on governance, risk, compliance, and sustainability, Weave.AI aims to empower enterprises with high-agency AI that anticipates and adapts to complex workflows.

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.

Proactive Agent is a project aimed at constructing a fully active agent that can anticipate user's requirements and offer assistance without explicit requests. It includes a data collection and generation pipeline, automatic evaluator, and training agent. The project provides datasets, evaluation scripts, and prompts to finetune LLM for proactive agent. Features include environment sensing, assistance annotation, dynamic data generation, and construction pipeline with a high F1 score on the test set. The project is intended for coding, writing, and daily life scenarios, distributed under Apache License 2.0.

AI Flow is an advanced agentic AI framework that transforms static, rule-based bots into dynamic AI agents capable of meaningful engagement. It focuses on adaptivity, human-like interaction, and deep environmental integration. AI Flow agents embody rich personalities, opinions, and emotions, remember past conversations, evolve autonomously, create content independently, collaborate with other agents, and anticipate user needs without explicit prompts.

Sublayer is a model-agnostic Ruby AI Agent framework that provides base classes for building Generators, Actions, Tasks, and Agents to create AI-powered applications in Ruby. It supports various AI models and providers, such as OpenAI, Gemini, and Claude. Generators generate specific outputs, Actions perform operations, Agents are autonomous entities for tasks or monitoring, and Triggers decide when Agents are activated. The framework offers sample Generators and usage examples for building AI applications.

ProChat is a components library focused on quickly building large language model chat interfaces. It empowers developers to create rich, dynamic, and intuitive chat interfaces with features like automatic chat caching, streamlined conversations, message editing tools, auto-rendered Markdown, and programmatic controls. The tool also includes design evolution plans such as customized dialogue rendering, enhanced request parameters, personalized error handling, expanded documentation, and atomic component design.

LlamaBot is a Pythonic bot interface to Large Language Models (LLMs), providing an easy way to experiment with LLMs in Jupyter notebooks and build Python apps utilizing LLMs. It supports all models available in LiteLLM. Users can access LLMs either through local models with Ollama or by using API providers like OpenAI and Mistral. LlamaBot offers different bot interfaces like SimpleBot, ChatBot, QueryBot, and ImageBot for various tasks such as rephrasing text, maintaining chat history, querying documents, and generating images. The tool also includes CLI demos showcasing its capabilities and supports contributions for new features and bug reports from the community.

This repository contains a library for constraining LLM generation to structured output, enforcing a JSON schema for precise data types and property names. It includes an acceptor/state machine framework, JSON acceptor, and JSON schema acceptor for guiding decoding in LLMs. The library provides reference implementations using Apple's MLX library and examples for function calling tasks. The tool aims to improve LLM output quality by ensuring adherence to a schema, reducing unnecessary output, and enhancing performance through pre-emptive decoding. Evaluations show performance benchmarks and comparisons with and without schema constraints.

5ire is a cross-platform desktop client that integrates a local knowledge base for multilingual vectorization, supports parsing and vectorization of various document formats, offers usage analytics to track API spending, provides a prompts library for creating and organizing prompts with variable support, allows bookmarking of conversations, and enables quick keyword searches across conversations. It is licensed under the GNU General Public License version 3.

Interaqt is a project that aims to separate application business logic from its specific implementation by providing a structured data model and tools to automatically decide and implement software architecture. It liberates individuals and teams from implementation specifics, performance requirements, and cost demands, allowing them to focus on articulating business logic. The approach is considered optimal in the era of large language models (LLMs) as it eliminates uncertainty in generated systems and enables independence from engineering involvement unless specific capabilities are required.

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.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

Robyn is an experimental, semi-automated and open-sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. It uses various machine learning techniques to define media channel efficiency and effectivity, explore adstock rates and saturation curves. Built for granular datasets with many independent variables, especially suitable for digital and direct response advertisers with rich data sources. Aiming to democratize MMM, make it accessible for advertisers of all sizes, and contribute to the measurement landscape.

Tools4AI is a Java-based Agentic Framework for building AI agents to integrate with enterprise Java applications. It enables the conversion of natural language prompts into actionable behaviors, streamlining user interactions with complex systems. By leveraging AI capabilities, it enhances productivity and innovation across diverse applications. The framework allows for seamless integration of AI with various systems, such as customer service applications, to interpret user requests, trigger actions, and streamline workflows. Prompt prediction anticipates user actions based on input prompts, enhancing user experience by proactively suggesting relevant actions or services based on context.

The LLM Prompt Tuning Playbook is a comprehensive guide for improving the performance of post-trained Language Models (LLMs) through effective prompting strategies. It covers topics such as pre-training vs. post-training, considerations for prompting, a rudimentary style guide for prompts, and a procedure for iterating on new system instructions. The playbook emphasizes the importance of clear, concise, and explicit instructions to guide LLMs in generating desired outputs. It also highlights the iterative nature of prompt development and the need for systematic evaluation of model responses.

MCP Go is a Go implementation of the Model Context Protocol (MCP), facilitating seamless integration between LLM applications and external data sources and tools. It handles complex protocol details and server management, allowing developers to focus on building tools. The tool is designed to be fast, simple, and complete, aiming to provide a high-level and easy-to-use interface for developing MCP servers. MCP Go is currently under active development, with core features working and advanced capabilities in progress.

AgentOps is a toolkit for evaluating and developing robust and reliable AI agents. It provides benchmarks, observability, and replay analytics to help developers build better agents. AgentOps is open beta and can be signed up for here. Key features of AgentOps include: - Session replays in 3 lines of code: Initialize the AgentOps client and automatically get analytics on every LLM call. - Time travel debugging: (coming soon!) - Agent Arena: (coming soon!) - Callback handlers: AgentOps works seamlessly with applications built using Langchain and LlamaIndex.

This repository provides a curated list of open-source projects that implement instruction-tuned large language models (LLMs) with reinforcement learning from human feedback (RLHF). The projects are evaluated in terms of their openness across a predefined set of criteria in the areas of Availability, Documentation, and Access. The goal of this repository is to promote transparency and accountability in the development and deployment of LLMs.

OppositeDay GPT is an AI agent with a twist – it always provides answers that are the complete opposite of what one would anticipate.