Best AI tools for< summarize earnings calls >
20 - AI tool Sites
EarningsDigest
Elevate your business strategy and research with summarized transcripts, personalized Q&A, and more. Unlock comprehensive understanding in minutes, not hours.
Boba
Boba is an AI co-pilot for generative ideation. It can help you research articles and news on the web, quickly analyze and summarize articles, earnings calls, etc., dig deeper to explore signals and discuss articles, brainstorm possible futures based on a strategic prompt, explore opportunities, threats, plausibility and probability of scenarios, dig deeper to create examples and storyboards for scenarios, brainstorm strategies using the Playing to Win strategy framework, generate "where to play" and "how to win" choices, dig deeper and explore strategic narratives, and help you build storyboards for current or future state scenarios.
Investiment.io
Investiment.io is a financial news and data platform that uses AI to help investors make better decisions. The platform provides access to real-time news, earnings transcripts, and financial data, as well as AI-powered insights and analysis. Investiment.io is designed to help investors of all levels, from beginners to experienced professionals.
Roic AI
Roic AI is an AI tool designed to provide users with essential financial data for analyzing companies. It offers comprehensive company summaries, 30+ years of financial statements, and earnings call transcripts in a single location. Users can access crucial information about popular companies like Apple Inc. and Microsoft Corporation through this platform.
StockGPT
StockGPT is an AI-powered financial research assistant that provides knowledge of earnings releases, financial reports, and fundamental information for S&P 500 and Nasdaq companies. It offers a new way to analyze companies/markets by leveraging AI, allowing users to search transcripts, ask for summaries, analyze company performance, and more. The tool provides customizable filters, accurate and up-to-date data, industry research capabilities, and access to transcripts for all Nasdaq companies.
Summarize.tech
Summarize.tech is an AI-powered tool that provides video summaries for long YouTube videos such as lectures, live events, and government meetings. Users can easily obtain a concise overview of the content through the application of artificial intelligence technology. The tool aims to save time and enhance productivity by condensing lengthy videos into shorter summaries, making it convenient for individuals who seek quick insights without watching the entire video.
Summarize.ing
Summarize.ing is an AI-powered tool that provides instant summaries of YouTube videos. It helps users save time by extracting key insights, concepts, and highlights from videos, making it easier to understand and retain information. The tool is particularly useful for educational content, tutorials, and news videos.
Go Summarize
Go Summarize is a free YouTube video summarizer powered by AI. It allows users to get a summary of any long YouTube video, such as a lecture, live event, or government meeting. The tool is easy to use: simply copy and paste the YouTube URL into the input field and click the "Go Summarize" button. Go Summarize will then generate a summary of the video, which will include the key points and highlights. The summary can be used to quickly get an overview of a video without having to watch the entire thing.
Summarize Paper .com
Summarize Paper .com is an open-source AI tool that provides concise, understandable, and insightful summaries of the latest research articles on arXiv. The tool uses AI to generate key points and layman's summaries of research papers, making it easy for users to stay up-to-date with the latest developments in their field. In addition to its summary service, Summarize Paper .com also offers an AI assistant that can answer questions about arXiv papers. The tool is designed to make it easy for researchers, students, journalists, and anyone else who wants to stay informed about the latest research to access and understand the latest findings.
Shownotes Summarize with ChatGPT
Shownotes Summarize with ChatGPT is an AI-powered tool that helps you summarize long-form audio and video content. With just a few clicks, you can get a concise and accurate summary of any podcast, lecture, or meeting. Shownotes Summarize with ChatGPT is the perfect tool for busy professionals who want to stay up-to-date on the latest information without having to spend hours listening to or watching content.
Summarize This
Summarize This is an AI-powered tool that provides instant summaries for text, PDFs, websites, and YouTube videos. It utilizes advanced AI algorithms to extract the most important information from any content, making it easier and faster to gather insights. With Summarize This, you can quickly condense large amounts of text into concise summaries, saving you time and effort. The tool is particularly useful for students, researchers, professionals, and anyone who needs to process large amounts of information efficiently.
AI Summarizer
AI Summarizer is an online tool that uses state-of-the-art AI technology to shorten text while preserving all main points. It ensures accuracy and maintains original context, making it suitable for various types of content like essays or blog posts. Users can easily summarize text by typing or uploading content, with options to download, copy, or clear the summary. The tool offers features like setting summary length, showing bullets and best lines, and supporting multiple languages. It is known for its extensive word count limit, data safety, and readability-enhancing features.
TLDR This
TLDR This is an online article summarizer tool that helps users quickly understand the essence of lengthy content. It uses AI to analyze any piece of text and summarize it automatically, in a way that makes it easy to read, understand, and act on. TLDR This also extracts essential metadata such as author and date information, related images, and the title. Additionally, it estimates the reading time for news articles and blog posts, ensuring users have all the necessary information consolidated in one place for efficient reading. TLDR This is designed for students, writers, teachers, institutions, journalists, and any internet user who needs to quickly understand the essence of lengthy content.
ScreenApp
ScreenApp is an AI-powered tool that offers a range of features such as notetaking, transcription, summarization, and recording for both audio and video content. It provides users with the ability to easily transcribe, summarize, and generate notes from various types of recordings using advanced AI technology. ScreenApp aims to streamline content review processes, enhance productivity, and facilitate efficient information extraction from recorded meetings, lectures, webinars, and more. The tool prioritizes data security by undergoing regular security checks, offering secure data storage, data encryption, and optional local storage for added security.
SciSummary
SciSummary is an AI-powered tool that helps users summarize scientific articles and research papers. It uses GPT-3.5 and GPT-4 models to provide summaries of any scientific articles or research papers. The technology learns as it goes as our team of PhDs analyze requested summaries and guides the training of the model. SciSummary makes it easy to stay up-to-date with the latest scientific breakthroughs and research findings, without having to spend hours reading through long and complex articles.
Video Highlight
Video Highlight is an AI-powered tool that helps you summarize and take notes from videos. It uses the latest AI technology to generate timestamped summaries and transcripts, highlight key moments, and engage in interactive chats. With Video Highlight, you can save hours of research time and focus on exploring, analyzing, and absorbing content.
Recall
Recall is an AI-driven application that allows users to summarize and save any online content to their knowledge base. It automatically organizes and interlinks the saved content for easy rediscovery. Users can summarize podcasts, YouTube videos, news articles, PDFs, and more, and the application categorizes the content based on its mentions. Recall also helps users discover connections between different pieces of content by saving them in a knowledge graph. The application is praised by professionals for its AI-driven summarization and storage capabilities, boosting productivity and facilitating easy access to key details.
Recall
Recall is a web and mobile application that allows users to summarize and save any online content. It uses artificial intelligence to automatically categorize and connect saved content, making it easy to find and rediscover later. Recall also offers spaced repetition learning, data export, and offline access.
YouTube Summarized
YouTube Summarized is an AI-powered tool that helps you quickly and easily summarize YouTube videos and podcasts. With our advanced AI technology, you can get a concise and accurate summary of any video or podcast in just a few seconds. Our tool is perfect for students, researchers, journalists, and anyone who wants to save time and get the most important information from their favorite videos and podcasts.
Any Summary
Any Summary is an AI-powered tool that can summarize any file, regardless of its length or complexity. With Any Summary, you can quickly and easily get a concise overview of any document, making it perfect for students, researchers, and professionals alike. Any Summary uses advanced natural language processing (NLP) techniques to extract the most important information from your documents, and it can summarize text in over 100 languages.
20 - Open Source AI Tools
llmware
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.
PIXIU
PIXIU is a project designed to support the development, fine-tuning, and evaluation of Large Language Models (LLMs) in the financial domain. It includes components like FinBen, a Financial Language Understanding and Prediction Evaluation Benchmark, FIT, a Financial Instruction Dataset, and FinMA, a Financial Large Language Model. The project provides open resources, multi-task and multi-modal financial data, and diverse financial tasks for training and evaluation. It aims to encourage open research and transparency in the financial NLP field.
awesome-RLAIF
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.
FreedomGPT
Freedom GPT is a desktop application that allows users to run alpaca models on their local machine. It is built using Electron and React. The application is open source and available on GitHub. Users can contribute to the project by following the instructions in the repository. The application can be run using the following command: yarn start. The application can also be dockerized using the following command: docker run -d -p 8889:8889 freedomgpt/freedomgpt. The application utilizes several open-source packages and libraries, including llama.cpp, LLAMA, and Chatbot UI. The developers of these packages and their contributors deserve gratitude for making their work available to the public under open source licenses.
h2ogpt
h2oGPT is an Apache V2 open-source project that allows users to query and summarize documents or chat with local private GPT LLMs. It features a private offline database of any documents (PDFs, Excel, Word, Images, Video Frames, Youtube, Audio, Code, Text, MarkDown, etc.), a persistent database (Chroma, Weaviate, or in-memory FAISS) using accurate embeddings (instructor-large, all-MiniLM-L6-v2, etc.), and efficient use of context using instruct-tuned LLMs (no need for LangChain's few-shot approach). h2oGPT also offers parallel summarization and extraction, reaching an output of 80 tokens per second with the 13B LLaMa2 model, HYDE (Hypothetical Document Embeddings) for enhanced retrieval based upon LLM responses, a variety of models supported (LLaMa2, Mistral, Falcon, Vicuna, WizardLM. With AutoGPTQ, 4-bit/8-bit, LORA, etc.), GPU support from HF and LLaMa.cpp GGML models, and CPU support using HF, LLaMa.cpp, and GPT4ALL models. Additionally, h2oGPT provides Attention Sinks for arbitrarily long generation (LLaMa-2, Mistral, MPT, Pythia, Falcon, etc.), a UI or CLI with streaming of all models, the ability to upload and view documents through the UI (control multiple collaborative or personal collections), Vision Models LLaVa, Claude-3, Gemini-Pro-Vision, GPT-4-Vision, Image Generation Stable Diffusion (sdxl-turbo, sdxl) and PlaygroundAI (playv2), Voice STT using Whisper with streaming audio conversion, Voice TTS using MIT-Licensed Microsoft Speech T5 with multiple voices and Streaming audio conversion, Voice TTS using MPL2-Licensed TTS including Voice Cloning and Streaming audio conversion, AI Assistant Voice Control Mode for hands-free control of h2oGPT chat, Bake-off UI mode against many models at the same time, Easy Download of model artifacts and control over models like LLaMa.cpp through the UI, Authentication in the UI by user/password via Native or Google OAuth, State Preservation in the UI by user/password, Linux, Docker, macOS, and Windows support, Easy Windows Installer for Windows 10 64-bit (CPU/CUDA), Easy macOS Installer for macOS (CPU/M1/M2), Inference Servers support (oLLaMa, HF TGI server, vLLM, Gradio, ExLLaMa, Replicate, OpenAI, Azure OpenAI, Anthropic), OpenAI-compliant, Server Proxy API (h2oGPT acts as drop-in-replacement to OpenAI server), Python client API (to talk to Gradio server), JSON Mode with any model via code block extraction. Also supports MistralAI JSON mode, Claude-3 via function calling with strict Schema, OpenAI via JSON mode, and vLLM via guided_json with strict Schema, Web-Search integration with Chat and Document Q/A, Agents for Search, Document Q/A, Python Code, CSV frames (Experimental, best with OpenAI currently), Evaluate performance using reward models, and Quality maintained with over 1000 unit and integration tests taking over 4 GPU-hours.
gpt_academic
GPT Academic is a powerful tool that leverages the capabilities of large language models (LLMs) to enhance academic research and writing. It provides a user-friendly interface that allows researchers, students, and professionals to interact with LLMs and utilize their abilities for various academic tasks. With GPT Academic, users can access a wide range of features and functionalities, including: * **Summarization and Paraphrasing:** GPT Academic can summarize complex texts, articles, and research papers into concise and informative summaries. It can also paraphrase text to improve clarity and readability. * **Question Answering:** Users can ask GPT Academic questions related to their research or studies, and the tool will provide comprehensive and well-informed answers based on its knowledge and understanding of the relevant literature. * **Code Generation and Explanation:** GPT Academic can generate code snippets and provide explanations for complex coding concepts. It can also help debug code and suggest improvements. * **Translation:** GPT Academic supports translation of text between multiple languages, making it a valuable tool for researchers working with international collaborations or accessing resources in different languages. * **Citation and Reference Management:** GPT Academic can help users manage their citations and references by automatically generating citations in various formats and providing suggestions for relevant references based on the user's research topic. * **Collaboration and Note-Taking:** GPT Academic allows users to collaborate on projects and take notes within the tool. They can share their work with others and access a shared workspace for real-time collaboration. * **Customizable Interface:** GPT Academic offers a customizable interface that allows users to tailor the tool to their specific needs and preferences. They can choose from a variety of themes, adjust the layout, and add or remove features to create a personalized workspace. Overall, GPT Academic is a versatile and powerful tool that can significantly enhance the productivity and efficiency of academic research and writing. It empowers users to leverage the capabilities of LLMs and unlock new possibilities for academic exploration and knowledge creation.
terraform-genai-doc-summarization
This solution showcases how to summarize a large corpus of documents using Generative AI. It provides an end-to-end demonstration of document summarization going all the way from raw documents, detecting text in the documents and summarizing the documents on-demand using Vertex AI LLM APIs, Cloud Vision Optical Character Recognition (OCR) and BigQuery.
DistiLlama
DistiLlama is a Chrome extension that leverages a locally running Large Language Model (LLM) to perform various tasks, including text summarization, chat, and document analysis. It utilizes Ollama as the locally running LLM instance and LangChain for text summarization. DistiLlama provides a user-friendly interface for interacting with the LLM, allowing users to summarize web pages, chat with documents (including PDFs), and engage in text-based conversations. The extension is easy to install and use, requiring only the installation of Ollama and a few simple steps to set up the environment. DistiLlama offers a range of customization options, including the choice of LLM model and the ability to configure the summarization chain. It also supports multimodal capabilities, allowing users to interact with the LLM through text, voice, and images. DistiLlama is a valuable tool for researchers, students, and professionals who seek to leverage the power of LLMs for various tasks without compromising data privacy.
Lumos
Lumos is a Chrome extension powered by a local LLM co-pilot for browsing the web. It allows users to summarize long threads, news articles, and technical documentation. Users can ask questions about reviews and product pages. The tool requires a local Ollama server for LLM inference and embedding database. Lumos supports multimodal models and file attachments for processing text and image content. It also provides options to customize models, hosts, and content parsers. The extension can be easily accessed through keyboard shortcuts and offers tools for automatic invocation based on prompts.
easy-web-summarizer
A Python script leveraging advanced language models to summarize webpages and youtube videos directly from URLs. It integrates with LangChain and ChatOllama for state-of-the-art summarization, providing detailed summaries for quick understanding of web-based documents. The tool offers a command-line interface for easy use and integration into workflows, with plans to add support for translating to different languages and streaming text output on gradio. It can also be used via a web UI using the gradio app. The script is dockerized for easy deployment and is open for contributions to enhance functionality and capabilities.
SummaryYou
Summary You is a tool that utilizes AI to summarize YouTube videos, articles, images, and documents. Users can set the length of the summary and have the option to listen to the summaries. The tool also includes a history section, intelligent paywall detection, OLED-Dark Mode, and a user-friendly Material Design 3 style UI with dynamic color themes. It uses GPT-3.5 OpenAI/Mixtral 8x7B Groq for summarization. The backend is implemented in Python with Chaquopy, and some UI designs and codes are borrowed from Seal Material color utilities.
LLM-Minutes-of-Meeting
LLM-Minutes-of-Meeting is a project showcasing NLP & LLM's capability to summarize long meetings and automate the task of delegating Minutes of Meeting(MoM) emails. It converts audio/video files to text, generates editable MoM, and aims to develop a real-time python web-application for meeting automation. The tool features keyword highlighting, topic tagging, export in various formats, user-friendly interface, and uses Celery for asynchronous processing. It is designed for corporate meetings, educational institutions, legal and medical fields, accessibility, and event coverage.
open-source-slack-ai
This repository provides a ready-to-run basic Slack AI solution that allows users to summarize threads and channels using OpenAI. Users can generate thread summaries, channel overviews, channel summaries since a specific time, and full channel summaries. The tool is powered by GPT-3.5-Turbo and an ensemble of NLP models. It requires Python 3.8 or higher, an OpenAI API key, Slack App with associated API tokens, Poetry package manager, and ngrok for local development. Users can customize channel and thread summaries, run tests with coverage using pytest, and contribute to the project for future enhancements.
book
Podwise is an AI knowledge management app designed specifically for podcast listeners. With the Podwise platform, you only need to follow your favorite podcasts, such as "Hardcore Hackers". When a program is released, Podwise will use AI to transcribe, extract, summarize, and analyze the podcast content, helping you to break down the hard-core podcast knowledge. At the same time, it is connected to platforms such as Notion, Obsidian, Logseq, and Readwise, embedded in your knowledge management workflow, and integrated with content from other channels including news, newsletters, and blogs, helping you to improve your second brain 🧠.
transcriptionstream
Transcription Stream is a self-hosted diarization service that works offline, allowing users to easily transcribe and summarize audio files. It includes a web interface for file management, Ollama for complex operations on transcriptions, and Meilisearch for fast full-text search. Users can upload files via SSH or web interface, with output stored in named folders. The tool requires a NVIDIA GPU and provides various scripts for installation and running. Ports for SSH, HTTP, Ollama, and Meilisearch are specified, along with access details for SSH server and web interface. Customization options and troubleshooting tips are provided in the documentation.
blog
这是一个程序员关于 ChatGPT 学习过程的记录,其中包括了 ChatGPT 的使用技巧、相关工具和资源的整理,以及一些个人见解和思考。 **使用技巧** * **充值 OpenAI API**:可以通过 https://beta.openai.com/account/api-keys 进行充值,支持信用卡和 PayPal。 * **使用专梯**:推荐使用稳定的专梯,可以有效提高 ChatGPT 的访问速度和稳定性。 * **使用魔法**:可以通过 https://my.x-air.app:666/#/register?aff=32853 访问 ChatGPT,无需魔法即可访问。 * **下载各种 apk**:可以通过 https://apkcombo.com 下载各种安卓应用的 apk 文件。 * **ChatGPT 官网**:ChatGPT 的官方网站是 https://ai.com。 * **Midjourney**:Midjourney 是一个生成式 AI 图像平台,可以通过 https://midjourney.com 访问。 * **文本转视频**:可以通过 https://www.d-id.com 将文本转换为视频。 * **国内大模型**:国内也有很多大模型,如阿里巴巴的通义千问、百度文心一言、讯飞星火、阿里巴巴通义听悟等。 * **查看 OpenAI 状态**:可以通过 https://status.openai.com/ 查看 OpenAI 的服务状态。 * **Canva 画图**:Canva 是一个在线平面设计平台,可以通过 https://www.canva.cn 进行画图。 **相关工具和资源** * **文字转语音**:可以通过 https://modelscope.cn/models?page=1&tasks=text-to-speech&type=audio 找到文字转语音的模型。 * **可好好玩玩的项目**: * https://github.com/sunner/ChatALL * https://github.com/labring/FastGPT * https://github.com/songquanpeng/one-api * **个人博客**: * https://baoyu.io/ * https://gorden-sun.notion.site/527689cd2b294e60912f040095e803c5?v=4f6cc12006c94f47aee4dc909511aeb5 * **srt 2 lrc 歌词**:可以通过 https://gotranscript.com/subtitle-converter 将 srt 格式的字幕转换为 lrc 格式的歌词。 * **5 种速率限制**:OpenAI API 有 5 种速率限制:RPM(每分钟请求数)、RPD(每天请求数)、TPM(每分钟 tokens 数量)、TPD(每天 tokens 数量)、IPM(每分钟图像数量)。 * **扣子平台**:coze.cn 是一个扣子平台,可以提供各种扣子。 * **通过云函数免费使用 GPT-3.5**:可以通过 https://juejin.cn/post/7353849549540589587 免费使用 GPT-3.5。 * **不蒜子 统计网页基数**:可以通过 https://busuanzi.ibruce.info/ 统计网页的基数。 * **视频总结和翻译网页**:可以通过 https://glarity.app/zh-CN 总结和翻译视频。 * **视频翻译和配音工具**:可以通过 https://github.com/jianchang512/pyvideotrans 翻译和配音视频。 * **文字生成音频**:可以通过 https://www.cnblogs.com/jijunjian/p/18118366 将文字生成音频。 * **memo ai**:memo.ac 是一个多模态 AI 平台,可以将视频链接、播客链接、本地音视频转换为文字,支持多语言转录后翻译,还可以将文字转换为新的音频。 * **视频总结工具**:可以通过 https://summarize.ing/ 总结视频。 * **可每天免费玩玩**:可以通过 https://www.perplexity.ai/ 每天免费玩玩。 * **Suno.ai**:Suno.ai 是一个 AI 语言模型,可以通过 https://bibigpt.co/ 访问。 * **CapCut**:CapCut 是一个视频编辑软件,可以通过 https://www.capcut.cn/ 下载。 * **Valla.ai**:Valla.ai 是一个多模态 AI 模型,可以通过 https://www.valla.ai/ 访问。 * **Viggle.ai**:Viggle.ai 是一个 AI 视频生成平台,可以通过 https://viggle.ai 访问。 * **使用免费的 GPU 部署文生图大模型**:可以通过 https://www.cnblogs.com/xuxiaona/p/18088404 部署文生图大模型。 * **语音转文字**:可以通过 https://speech.microsoft.com/portal 将语音转换为文字。 * **投资界的 ai**:可以通过 https://reportify.cc/ 了解投资界的 ai。 * **抓取小视频 app 的各种信息**:可以通过 https://github.com/NanmiCoder/MediaCrawler 抓取小视频 app 的各种信息。 * **马斯克 Grok1 开源**:马斯克的 Grok1 模型已经开源,可以通过 https://github.com/xai-org/grok-1 访问。 * **ChatALL**:ChatALL 是一个跨端支持的聊天机器人,可以通过 https://github.com/sunner/ChatALL 访问。 * **零一万物**:零一万物是一个 AI 平台,可以通过 https://www.01.ai/cn 访问。 * **智普**:智普是一个 AI 语言模型,可以通过 https://chatglm.cn/ 访问。 * **memo ai 下载**:可以通过 https://memo.ac/ 下载 memo ai。 * **ffmpeg 学习**:可以通过 https://www.ruanyifeng.com/blog/2020/01/ffmpeg.html 学习 ffmpeg。 * **自动生成文章小工具**:可以通过 https://www.cognition-labs.com/blog 生成文章。 * **简易商城**:可以通过 https://www.cnblogs.com/whuanle/p/18086537 搭建简易商城。 * **物联网**:可以通过 https://www.cnblogs.com/xuxiaona/p/18088404 学习物联网。 * **自定义表单、自定义列表、自定义上传和下载、自定义流程、自定义报表**:可以通过 https://www.cnblogs.com/whuanle/p/18086537 实现自定义表单、自定义列表、自定义上传和下载、自定义流程、自定义报表。 **个人见解和思考** * ChatGPT 是一个强大的工具,可以用来提高工作效率和创造力。 * ChatGPT 的使用门槛较低,即使是非技术人员也可以轻松上手。 * ChatGPT 的发展速度非常快,未来可能会对各个行业产生深远的影响。 * 我们应该理性看待 ChatGPT,既要看到它的优点,也要意识到它的局限性。 * 我们应该积极探索 ChatGPT 的应用场景,为社会创造价值。
Awesome-LLM-Reasoning
**Curated collection of papers and resources on how to unlock the reasoning ability of LLMs and MLLMs.** **Description in less than 400 words, no line breaks and quotation marks.** Large Language Models (LLMs) have revolutionized the NLP landscape, showing improved performance and sample efficiency over smaller models. However, increasing model size alone has not proved sufficient for high performance on challenging reasoning tasks, such as solving arithmetic or commonsense problems. This curated collection of papers and resources presents the latest advancements in unlocking the reasoning abilities of LLMs and Multimodal LLMs (MLLMs). It covers various techniques, benchmarks, and applications, providing a comprehensive overview of the field. **5 jobs suitable for this tool, in lowercase letters.** - content writer - researcher - data analyst - software engineer - product manager **Keywords of the tool, in lowercase letters.** - llm - reasoning - multimodal - chain-of-thought - prompt engineering **5 specific tasks user can use this tool to do, in less than 3 words, Verb + noun form, in daily spoken language.** - write a story - answer a question - translate a language - generate code - summarize a document
AGI-Papers
This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**
BestBlogs
BestBlogs.dev is a platform that curates top programming, artificial intelligence, product, and technology articles. It utilizes advanced language models to summarize, rate, and translate these articles, saving users reading time. The platform focuses on providing high-quality content in the fields of programming, AI, product design, business technology, and personal growth from leading tech companies and communities. Users can explore the future of technology through the platform's value-driven content. The website aggregates articles from various RSS feed sources and supports importing them into RSS readers. Users can contribute by suggesting high-quality RSS feed sources for addition.
20 - OpenAI Gpts
Scienctific Paper Guide
Put paper name or pdf to read. it will summarize wildly. If you want to get the meaning of glossary, write G.
Scientific Research Digest
Find and summarize recent papers in biology, chemistry, and biomedical sciences.
Song That Suits My Mood
Summarize your mood in a few sentences and I will recommend you a song that will relax you. Whichever platform you want to listen to, I will also give you the links on that platform. You can click and listen now.
AIRZ Search Summarizer
Browse the web for the search term and summarize the results from sources
Disclosure-Analysis
Upload disclosure documents, and I will summarize what's going on, identify red flag areas to look closer at, and answer all Q&A!
The Highlight 划重点
v1.2 Enter an article or web address that will summarize the central idea for you. I hope this is helpful to you. Thanks. 输入一篇文章或网址,为您总结重点。希望对您有帮助。谢谢。 www.Strilen.com [email protected]
MixerBox ChatGSlide
Your AI Google Slides assistant! Effortlessly locate, manage, and summarize your presentations!
BLUF Builder
Generates concise, professional "Bottom Line Up Front" summaries of documents and text.
Tem Precedente: Resumo de decisões da CGU
Eu faço resumos de pedidos de informação e recursos a órgãos públicos brasileiros. For English, please ask “summarise it in English please”.