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 reporting, performance monitoring, integrations, and API documentation. With intelligent features powered by AI, Bugasura streamlines the development process, empowers teams to tackle complex challenges, and enhances productivity. The tool allows for custom workflows, automatic assignment of issues, easy exports and imports, and seamless integrations with popular project management and developer tools. Bugasura also provides performance monitoring, advanced filtering and sorting options, and cloud-based or on-premise deployment choices. It is known for its pocket-friendly pricing, privacy, and security measures.

StarByFace is a celebrity look-alike face recognition application that allows users to upload a photo of themselves and find their celebrity doppelganger. The system detects the face, creates a facial pattern, and compares it with a database of celebrity faces to suggest the most similar ones. The application emphasizes the importance of photo quality for accurate results and ensures user privacy by deleting uploaded photos after recognition. StarByFace is designed for personal and non-commercial use only, with no personal information collection beyond website usage data.

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.

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 is an AI tool that serves as your real-time AI companion, providing you with knowledge, events, news, and sports scores from your favorite messaging apps. It offers insights and information instantly, making it a valuable resource for staying updated and informed. Heypat is developed by B20 Labs Inc, a company based in Austin, TX, and is designed to enhance your messaging experience by delivering timely and relevant content.

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.

Lettercast is an AI-powered application that transforms your newsletters into personalized audio and text summaries, allowing you to stay up-to-date with all the news on the go. It converts your newsletters into bite-sized podcasts using the latest AI technology, providing a convenient way to consume information while commuting, working out, or cooking. With no limit on the number of newsletters you can convert, Lettercast ensures that you can listen to your daily podcasts at your convenience, all while prioritizing data security and user privacy.

Insight is an AI-powered medical research tool that serves as a research assistant for generating scientific summaries, hypotheses, experimental designs, and target identification. It empowers scientists to navigate literature, formulate hypotheses, and design experiments by utilizing peer-reviewed databases to provide reliable outputs. With integrated features like NIH PubMed access, NIH Reporter insights, and MYGENE & MYVARIANT deep dives, Insight streamlines the research process and accelerates discoveries in the medical field.

FreedomGPT is a powerful AI platform that provides access to a wide range of AI models without the need for technical knowledge. With its user-friendly interface and offline capabilities, FreedomGPT empowers users to explore and utilize AI for various tasks and applications. The platform is committed to privacy and offers an open-source approach, encouraging collaboration and innovation within the AI community.

Ideasai.com is a website that currently displays a 502 Bad Gateway error. The error message indicates that the web server reported a bad gateway error, and advises users to try again in a few minutes. The site seems to be hosted on Cloudflare, as indicated by the reference to Cloudflare Ray ID and the mention of Cloudflare.com for more information. The website appears to be experiencing technical difficulties and is inaccessible at the moment.

Meyer.id is a website that currently displays a 502 Bad Gateway error. The error message indicates that the web server reported a bad gateway error, and it suggests trying again in a few minutes. The website seems to be hosted on Cloudflare, as indicated by the message. Users visiting meyer.id are unable to access the content of the site due to the reported error. For more information, users are directed to visit cloudflare.com.

ProdOps is an AI platform for product management that aims to automate and elevate productivity, quality assurance, insight, adaptability, innovation, and speed. It offers features such as productivity amplification, quality assurance, predictive insights, dynamic prioritization, accelerated development, and intelligent collaboration. The application helps in automating routine tasks, reducing errors, forecasting market trends, streamlining development processes, and fostering seamless communication. Customers have reported significant improvements in workflow efficiency and product quality. ProdOps.AI integrates with tools like Jira, Github, and Notion to provide powerful AI-driven solutions for product delivery.

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.

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.

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.

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.

**Description:** PromptFuzz is an automated tool that generates high-quality fuzz drivers for libraries via a fuzz loop constructed on mutating LLMs' prompts. The fuzz loop of PromptFuzz aims to guide the mutation of LLMs' prompts to generate programs that cover more reachable code and explore complex API interrelationships, which are effective for fuzzing. **Features:** * **Multiply LLM support** : Supports the general LLMs: Codex, Inocder, ChatGPT, and GPT4 (Currently tested on ChatGPT). * **Context-based Prompt** : Construct LLM prompts with the automatically extracted library context. * **Powerful Sanitization** : The program's syntax, semantics, behavior, and coverage are thoroughly analyzed to sanitize the problematic programs. * **Prioritized Mutation** : Prioritizes mutating the library API combinations within LLM's prompts to explore complex interrelationships, guided by code coverage. * **Fuzz Driver Exploitation** : Infers API constraints using statistics and extends fixed API arguments to receive random bytes from fuzzers. * **Fuzz engine integration** : Integrates with grey-box fuzz engine: LibFuzzer. **Benefits:** * **High branch coverage:** The fuzz drivers generated by PromptFuzz achieved a branch coverage of 40.12% on the tested libraries, which is 1.61x greater than _OSS-Fuzz_ and 1.67x greater than _Hopper_. * **Bug detection:** PromptFuzz detected 33 valid security bugs from 49 unique crashes. * **Wide range of bugs:** The fuzz drivers generated by PromptFuzz can detect a wide range of bugs, most of which are security bugs. * **Unique bugs:** PromptFuzz detects uniquely interesting bugs that other fuzzers may miss. **Usage:** 1. Build the library using the provided build scripts. 2. Export the LLM API KEY if using ChatGPT or GPT4. 3. Generate fuzz drivers using the `fuzzer` command. 4. Run the fuzz drivers using the `harness` command. 5. Deduplicate and analyze the reported crashes. **Future Works:** * **Custom LLMs suport:** Support custom LLMs. * **Close-source libraries:** Apply PromptFuzz to close-source libraries by fine tuning LLMs on private code corpus. * **Performance** : Reduce the huge time cost required in erroneous program elimination.

This repository, Online RLHF, focuses on aligning large language models (LLMs) through online iterative Reinforcement Learning from Human Feedback (RLHF). It aims to bridge the gap in existing open-source RLHF projects by providing a detailed recipe for online iterative RLHF. The workflow presented here has shown to outperform offline counterparts in recent LLM literature, achieving comparable or better results than LLaMA3-8B-instruct using only open-source data. The repository includes model releases for SFT, Reward model, and RLHF model, along with installation instructions for both inference and training environments. Users can follow step-by-step guidance for supervised fine-tuning, reward modeling, data generation, data annotation, and training, ultimately enabling iterative training to run automatically.

The Missing Persons 2024 Antifinance Bill Demonstrations Kenya database is an AI-powered platform designed to track and identify individuals who have gone missing during the ongoing protests. It aims to assist in reuniting families by providing a centralized online resource for all Kenyans. The platform allows for crowdsourced information upload, monitoring disappearances, and tracking unidentified bodies to create a comprehensive database. Key features include a user-friendly interface, AI-powered search, real-time updates, secure handling of data, and detailed reporting.

This repository hosts the official code and data artifact for the paper 'Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context'. It introduces Monitor-Guided Decoding (MGD) for code generation using Language Models, where a monitor uses static analysis to guide the decoding. The repository contains datasets, evaluation scripts, inference results, a language server client 'multilspy' for static analyses, and implementation of various monitors monitoring for different properties in 3 programming languages. The monitors guide Language Models to adhere to properties like valid identifier dereferences, correct number of arguments to method calls, typestate validity of method call sequences, and more.

This framework generates fuzz targets for real-world `C`/`C++` projects with various Large Language Models (LLM) and benchmarks them via the `OSS-Fuzz` platform. It manages to successfully leverage LLMs to generate valid fuzz targets (which generate non-zero coverage increase) for 160 C/C++ projects. The maximum line coverage increase is 29% from the existing human-written targets.

TT-NN is a python & C++ Neural Network OP library. It provides a low-level programming model, TT-Metalium, enabling kernel development for Tenstorrent hardware.

The FlyByWire Simulations A32NX is a community-driven open source project to create a free Airbus A320neo in Microsoft Flight Simulator that is as close to reality as possible. The aircraft is currently in development, but it already features a high level of detail and accuracy, including a fully functional flight management system, realistic flight dynamics, and a detailed 3D model. The A32NX is a great choice for simmers who want to experience the thrill of flying a modern airliner without having to spend a lot of money on payware aircraft.

KwaiAgents is a series of Agent-related works open-sourced by the [KwaiKEG](https://github.com/KwaiKEG) from [Kuaishou Technology](https://www.kuaishou.com/en). The open-sourced content includes: 1. **KAgentSys-Lite**: a lite version of the KAgentSys in the paper. While retaining some of the original system's functionality, KAgentSys-Lite has certain differences and limitations when compared to its full-featured counterpart, such as: (1) a more limited set of tools; (2) a lack of memory mechanisms; (3) slightly reduced performance capabilities; and (4) a different codebase, as it evolves from open-source projects like BabyAGI and Auto-GPT. Despite these modifications, KAgentSys-Lite still delivers comparable performance among numerous open-source Agent systems available. 2. **KAgentLMs**: a series of large language models with agent capabilities such as planning, reflection, and tool-use, acquired through the Meta-agent tuning proposed in the paper. 3. **KAgentInstruct**: over 200k Agent-related instructions finetuning data (partially human-edited) proposed in the paper. 4. **KAgentBench**: over 3,000 human-edited, automated evaluation data for testing Agent capabilities, with evaluation dimensions including planning, tool-use, reflection, concluding, and profiling.

AIDE (Advanced Intrusion Detection Environment) is a tool for monitoring file system changes. It can be used to detect unauthorized changes to monitored files and directories. AIDE was written to be a simple and free alternative to Tripwire. Features currently included in AIDE are as follows: o File attributes monitored: permissions, inode, user, group file size, mtime, atime, ctime, links and growing size. o Checksums and hashes supported: SHA1, MD5, RMD160, and TIGER. CRC32, HAVAL and GOST if Mhash support is compiled in. o Plain text configuration files and database for simplicity. o Rules, variables and macros that can be customized to local site or system policies. o Powerful regular expression support to selectively include or exclude files and directories to be monitored. o gzip database compression if zlib support is compiled in. o Free software licensed under the GNU General Public License v2.

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.