Best AI tools for< Reporter >

The Hollywood Reporter is a leading source of entertainment news, featuring the latest in film, television, music, and lifestyle. With in-depth interviews, exclusive scoops, and expert analysis, THR provides unparalleled coverage of the entertainment industry.

Bugasura is an AI-enabled bug management tool designed for fast-moving, modern technology teams. It offers features such as issue tracking, bug reporters, performance monitoring, integrations, and API documentation. With AI-powered capabilities, Bugasura streamlines bug reporting and issue tracking processes, empowering teams to efficiently resolve issues and deliver quality features. The tool provides custom workflows, automatic issue assignment, easy exports and imports, and advanced filtering options. Bugasura also offers cloud-based and on-premise options, pocket-friendly pricing for small teams, and prioritizes privacy and security with end-to-end encryption and secure authentication protocols.

StarByFace is a celebrity look-alike face recognition application that allows users to upload a photo and find their celebrity doppelganger. The app uses a Neural Network to compare the uploaded photo with a database of celebrity faces and suggests the most similar matches. It ensures privacy by not storing uploaded photos and collecting minimal personal information for website usage data only. StarByFace is designed for personal and non-commercial use, providing an entertaining way for users to discover their celebrity look-alikes.

SwiftieGPT is an AI tool that provides detailed information about Taylor Swift based on publicly available data. Users can ask questions about Taylor Swift, such as her tour dates, song lyrics, achievements, and more, and receive responses generated by the AI tool. SwiftieGPT is designed for fans of Taylor Swift, providing a platform to learn everything about the popular singer.

Japan Daily News is a comprehensive online platform providing daily news updates from Japan. Covering a wide range of topics including current events, legal news, public health initiatives, and weather forecasts, the website offers valuable insights into various aspects of Japanese society. With a focus on delivering accurate and timely information to its readers, Japan Daily News serves as a reliable source for staying informed about the latest developments in Japan.

InSummary is an AI-powered tool that automates the creation of performance reviews and status reports. It connects with your calendar and uses this data to generate personalized and insightful reports that save you time and effort. With InSummary, you can easily identify and communicate your work focus and accomplishments, get feedback from peers, and share your progress with your team and managers.

The New York Times is an American daily newspaper based in New York City with worldwide news coverage. It has won 132 Pulitzer Prizes, more than any other newspaper, and has long been regarded as a national newspaper of record. The Times was founded in 1851 by Henry Jarvis Raymond and George Jones as a penny paper. It has been owned by the Ochs-Sulzberger family since 1896, with Arthur Ochs Sulzberger Jr. serving as publisher from 1963 to 1992 and his son, Arthur Gregg Sulzberger, serving as publisher since 1992.

The Times & The Sunday Times is a British daily newspaper and Sunday newspaper based in London. It is the most widely read newspaper in the United Kingdom and is one of the most widely read newspapers in the world.

YourStory is a leading Indian media and technology company that provides in-depth coverage of startups, entrepreneurship, and innovation in India and around the world. The website offers a wide range of content, including news, analysis, interviews, and videos, as well as a number of resources for entrepreneurs, such as a startup directory, a funding database, and a mentorship program.

The Harvard Crimson is a renowned university newspaper established in 1873, providing daily news, opinion pieces, arts and culture coverage, blogs, multimedia content, and sports updates. The publication covers a wide range of topics related to Harvard University and its community, including faculty news, student activism, campus events, and academic developments. With a focus on diversity and inclusion, The Harvard Crimson aims to inform and engage its readers with insightful and thought-provoking content.

Journalist's Toolbox AI is a comprehensive platform designed to equip journalists with the latest AI-driven tools and resources to enhance their reporting and storytelling capabilities. The website offers a wide range of features and training materials to help journalists stay ahead in the rapidly evolving digital journalism landscape. From fact-checking and summarization tools to AI productivity and editing tools, Journalist's Toolbox AI provides a one-stop solution for journalists looking to leverage AI technology in their work. With a focus on empowering journalists with innovative tools and best practices, the platform serves as a valuable resource for professionals and aspiring journalists alike.

CaseMark is an AI-powered platform designed to empower legal professionals by providing automated workflow and summarization services. It offers concise summaries of legal documents, such as deposition summaries, medical records summaries, trial summaries, and more. With features like custom workflows, integration with existing platforms, enterprise-class security, and the ability to select the best LLM for each use case, CaseMark aims to streamline legal processes and improve efficiency. Trusted by over 6,000 lawyers and legal tech companies, CaseMark is a privacy-first platform that helps users save time and focus on critical legal matters.

Artist Interview.ai is an AI-powered tool that generates realistic artist interviews. Users can input interview questions and receive AI-generated answers from a selection of famous AI artists. The tool utilizes advanced AI models like GPT-3.5 and GPT-4 to create authentic interview responses, providing a unique and innovative way to engage with virtual artists. Created by Tom Lehman, Artist Interview.ai offers a creative and interactive platform for users to explore the world of AI-generated content.

The Generative AI in the Newsroom project is an effort to collaboratively figure out how and when (or when not) to use generative AI in news production. It includes articles, research, and case studies on the use of generative AI in journalism.

NPR is a non-profit organization that provides news, music, and cultural programming to the United States. It is funded by a combination of government grants, corporate sponsorships, and listener donations. NPR's mission is to create a more informed public by providing high-quality, in-depth journalism and cultural programming that is accessible to all Americans.

Observer is a news and media website that covers a wide range of topics, including business, finance, technology, media, lifestyle, arts, entertainment, and power lists. The website features articles, reviews, interviews, and videos from a team of experienced journalists and critics.

HeyPat.AI is an AI-powered chat application that allows users to chat with PAT in multiple languages including English, Français, Español, Русский, and 中文. Users can get instant answers on news, sports scores, recipes, travel plans, fitness routines, and more directly from their favorite messaging apps. PAT serves as a real-time AI Assistant providing insights and companionship to users.

Nepo Baby is a website that allows users to type a celebrity's name and receive information about them. The platform provides details about various celebrities, including their background, career, and personal life. Users can easily access information about their favorite celebrities in one place, making it a convenient tool for staying updated on the latest news and gossip in the entertainment industry.

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.

TalkTo.ai is a free AI chat platform where users can engage in natural, human-like conversations with diverse AI characters. The platform offers a team of AI companions with expertise in various fields, providing personalized interactions and emotional understanding. Users can explore limitless creativity and scenarios, interact with AI characters for free, and enjoy an ad-free experience. TalkTo.ai aims to ignite conversations that matter and offers a safe space for users to express themselves.

LangManus is a community-driven AI automation framework that combines language models with specialized tools for tasks like web search, crawling, and Python code execution. It implements a hierarchical multi-agent system with agents like Coordinator, Planner, Supervisor, Researcher, Coder, Browser, and Reporter. The framework supports LLM integration, search and retrieval tools, Python integration, workflow management, and visualization. LangManus aims to give back to the open-source community and welcomes contributions in various forms.

Empirical is a tool that allows you to test different LLMs, prompts, and other model configurations across all the scenarios that matter for your application. With Empirical, you can run your test datasets locally against off-the-shelf models, test your own custom models and RAG applications, view, compare, and analyze outputs on a web UI, score your outputs with scoring functions, and run tests on CI/CD.

Evalverse is an open-source project designed to support Large Language Model (LLM) evaluation needs. It provides a standardized and user-friendly solution for processing and managing LLM evaluations, catering to AI research engineers and scientists. Evalverse supports various evaluation methods, insightful reports, and no-code evaluation processes. Users can access unified evaluation with submodules, request evaluations without code via Slack bot, and obtain comprehensive reports with scores, rankings, and visuals. The tool allows for easy comparison of scores across different models and swift addition of new evaluation tools.

Agno is a lightweight library for building multi-modal Agents. It is designed with core principles of simplicity, uncompromising performance, and agnosticism, allowing users to create blazing fast agents with minimal memory footprint. Agno supports any model, any provider, and any modality, making it a versatile container for AGI. Users can build agents with lightning-fast agent creation, model agnostic capabilities, native support for text, image, audio, and video inputs and outputs, memory management, knowledge stores, structured outputs, and real-time monitoring. The library enables users to create autonomous programs that use language models to solve problems, improve responses, and achieve tasks with varying levels of agency and autonomy.

OpenManus is an open-source project aiming to replicate the capabilities of the Manus AI agent, known for autonomously executing complex tasks like travel planning and stock analysis. The project provides a modular, containerized framework using Docker, Python, and JavaScript, allowing developers to build, deploy, and experiment with a multi-agent AI system. Features include collaborative AI agents, Dockerized environment, task execution support, tool integration, modular design, and community-driven development. Users can interact with OpenManus via CLI, API, or web UI, and the project welcomes contributions to enhance its capabilities.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

At ZenML, we believe in the importance of annotation and labeling workflows in the machine learning lifecycle. This repository showcases a curated list of open-source data annotation and labeling tools that are actively maintained and fit for purpose. The tools cover various domains such as multi-modal, text, images, audio, video, time series, and other data types. Users can contribute to the list and discover tools for tasks like named entity recognition, data annotation for machine learning, image and video annotation, text classification, sequence labeling, object detection, and more. The repository aims to help users enhance their data-centric workflows by leveraging these tools.

GenAI Agents is a comprehensive repository for developing and implementing Generative AI (GenAI) agents, ranging from simple conversational bots to complex multi-agent systems. It serves as a valuable resource for learning, building, and sharing GenAI agents, offering tutorials, implementations, and a platform for showcasing innovative agent creations. The repository covers a wide range of agent architectures and applications, providing step-by-step tutorials, ready-to-use implementations, and regular updates on advancements in GenAI technology.

BeeAI Framework is a versatile tool for building production-ready multi-agent systems. It offers flexibility in orchestrating agents, seamless integration with various models and tools, and production-grade controls for scaling. The framework supports Python and TypeScript libraries, enabling users to implement simple to complex multi-agent patterns, connect with AI services, and optimize token usage and resource management.

Grounded-VideoLLM is a Video Large Language Model specialized in fine-grained temporal grounding. It excels in tasks such as temporal sentence grounding, dense video captioning, and grounded VideoQA. The model incorporates an additional temporal stream, discrete temporal tokens with specific time knowledge, and a multi-stage training scheme. It shows potential as a versatile video assistant for general video understanding. The repository provides pretrained weights, inference scripts, and datasets for training. Users can run inference queries to get temporal information from videos and train the model from scratch.

Autonomous agents are designed to achieve specific objectives through self-guided instructions. With the emergence and growth of large language models (LLMs), there is a growing trend in utilizing LLMs as fundamental controllers for these autonomous agents. This repository conducts a comprehensive survey study on the construction, application, and evaluation of LLM-based autonomous agents. It explores essential components of AI agents, application domains in natural sciences, social sciences, and engineering, and evaluation strategies. The survey aims to be a resource for researchers and practitioners in this rapidly evolving field.

`npcsh` is a python-based command-line tool designed to integrate Large Language Models (LLMs) and Agents into one's daily workflow by making them available and easily configurable through the command line shell. It leverages the power of LLMs to understand natural language commands and questions, execute tasks, answer queries, and provide relevant information from local files and the web. Users can also build their own tools and call them like macros from the shell. `npcsh` allows users to take advantage of agents (i.e. NPCs) through a managed system, tailoring NPCs to specific tasks and workflows. The tool is extensible with Python, providing useful functions for interacting with LLMs, including explicit coverage for popular providers like ollama, anthropic, openai, gemini, deepseek, and openai-like providers. Users can set up a flask server to expose their NPC team for use as a backend service, run SQL models defined in their project, execute assembly lines, and verify the integrity of their NPC team's interrelations. Users can execute bash commands directly, use favorite command-line tools like VIM, Emacs, ipython, sqlite3, git, pipe the output of these commands to LLMs, or pass LLM results to bash commands.

WebLINX is a Python library and dataset for real-world website navigation with multi-turn dialogue. The repository provides code for training models reported in the WebLINX paper, along with a comprehensive API to work with the dataset. It includes modules for data processing, model evaluation, and utility functions. The modeling directory contains code for processing, training, and evaluating models such as DMR, LLaMA, MindAct, Pix2Act, and Flan-T5. Users can install specific dependencies for HTML processing, video processing, model evaluation, and library development. The evaluation module provides metrics and functions for evaluating models, with ongoing work to improve documentation and functionality.

Vidur is an open-source next-gen Recruiting OS that offers an intuitive and modern interface for forward-thinking companies to efficiently manage their recruitment processes. It combines advanced candidate profiles, team workspace, plugins, and one-click apply features. The project is under active development, and contributors are welcome to join by addressing open issues. To ensure privacy, security issues should be reported via email to [email protected].

This repository provides the official implementation of the paper 'On Embeddings for Numerical Features in Tabular Deep Learning'. It focuses on transforming scalar continuous features into vectors before integrating them into the main backbone of tabular neural networks, showcasing improved performance. The embeddings for continuous features are shown to enhance the performance of tabular DL models and are applicable to various conventional backbones, offering efficiency comparable to Transformer-based models. The repository includes Python packages for practical usage, exploration of metrics and hyperparameters, and reproducing reported results for different algorithms and datasets.

This repository serves as a platform for coordinating ecosystem-wide work related to free-threading topics in Python. It aims to track, understand, and provide documentation for common issues across multiple libraries. Specific project-related issues should be reported in the respective project's issue tracker. For detailed documentation on free-threading topics, visit py-free-threading.github.io.

BaseAI is an AI framework designed for creating declarative and composable AI-powered LLM products. It enables the development of AI agent pipes locally, incorporating agentic tools and memory (RAG). The framework offers a learn guide for beginners to kickstart their journey with BaseAI. For detailed documentation, users can visit baseai.dev/docs. Contributions to BaseAI are encouraged, and interested individuals can refer to the Contributing Guide. The original authors of BaseAI include Ahmad Awais, Ashar Irfan, Saqib Ameen, Saad Irfan, and Ahmad Bilal. Security vulnerabilities can be reported privately via email to [email protected]. BaseAI aims to provide resources for learning AI agent development, utilizing agentic tools and memory.

I curate and report top local news, ensuring accuracy and relevance.

Debate Journalism Ethics With a J-School Prof

What is going on in your city?

Conversational and straightforward news writing aid.

Create a Slide Deck for your morning news

I am a journalist for 'Badische Neueste Nachrichten', specializing in regional news.

Helps reporters and writers with investigative research, interview questions and fact-checking for accurate reporting.

Opa! Cole o texto da sua reportagem ou trecho para que eu possa analisá-la com base em manuais de uso de dados em textos jornalísticos.

Experto en redacción periodística al estilo de El País.

I integrate materials into clear news reports.