Best AI tools for< anticipate changes >

Trendingly is a future business trends platform that uses AI to uncover trends and provide insights to help leaders anticipate the future and make informed decisions. It analyzes a vast range of sources, including tech and business news, academic articles, and financial reports, to identify patterns and signals. Trendingly's AI is powered by OpenAI's LLM models, which allows it to explore data at scale and extract meaningful insights. The platform is designed to help users stay ahead of the curve and make smarter decisions based on actionable insights derived from data analysis.

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.

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.

42Signals is an AI-powered solution suite for consumer brands to anticipate consumer demand, track competition, optimize digital shelves, and grow online sales. Backed by eCommerce insights, we help brands to win in an online retail environment.

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.

Moning is a wealth management platform that provides users with tools to track and manage their investments. The platform offers a dashboard that provides users with a comprehensive view of their portfolio performance, including data on returns, dividends, and sector distribution. Moning also offers AI-powered features, such as AI Analysis, which provides users with insights and recommendations on their investments. Additionally, the platform offers a Dividends calendar that helps users anticipate and secure passive income through dividends.

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.

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.

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.

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.

Synmetrix (prev. MLCraft) is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube (Cube.js) for flexible data models that consolidate metrics from various sources, enabling downstream distribution via a SQL API for integration into BI tools, reporting, dashboards, and data science. Use cases include data democratization, business intelligence, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

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.

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

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.

AzureOpenAI-with-APIM is a repository that provides a one-button deploy solution for Azure API Management (APIM), Key Vault, and Log Analytics to work seamlessly with Azure OpenAI endpoints. It enables organizations to scale and manage their Azure OpenAI service efficiently by issuing subscription keys via APIM, delivering usage metrics, and implementing policies for access control and cost management. The repository offers detailed guidance on implementing APIM to enhance Azure OpenAI resiliency, scalability, performance, monitoring, and chargeback capabilities.

Bittensor is an internet-scale neural network that incentivizes computers to provide access to machine learning models in a decentralized and censorship-resistant manner. It operates through a token-based mechanism where miners host, train, and procure machine learning systems to fulfill verification problems defined by validators. The network rewards miners and validators for their contributions, ensuring continuous improvement in knowledge output. Bittensor allows anyone to participate, extract value, and govern the network without centralized control. It supports tasks such as generating text, audio, images, and extracting numerical representations.

Awesome-Colorful-LLM is a meticulously assembled anthology of vibrant multimodal research focusing on advancements propelled by large language models (LLMs) in domains such as Vision, Audio, Agent, Robotics, and Fundamental Sciences like Mathematics. The repository contains curated collections of works, datasets, benchmarks, projects, and tools related to LLMs and multimodal learning. It serves as a comprehensive resource for researchers and practitioners interested in exploring the intersection of language models and various modalities for tasks like image understanding, video pretraining, 3D modeling, document understanding, audio analysis, agent learning, robotic applications, and mathematical research.

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