Zoom Phone is a cloud-based VoIP phone system designed to help businesses manage voice communications, employee collaboration, and customer calls. The platform combines business calling, SMS messaging, voicemail, video conferencing, and team chat within the Zoom Workplace environment. Users can make and receive calls through desktop applications, mobile devices, web-connected systems, and supported physical desk phones. Its call management capabilities include multi-level auto attendants, call queues, call transfers, forwarding, shared lines, and customizable business hours. Built-in AI features generate call summaries, identify action items, prioritize voicemails, and provide contextual assistance during conversations. Zoom Virtual Agent Receptionist adds conversational AI capabilities for answering business questions, booking appointments, and routing callers based on their needs. Call monitoring and reporting tools provide visibility into call volumes, usage patterns, connection quality, and employee communication activity. Zoom Phone integrates with Salesforce, Microsoft Teams, Google Workspace, and other business applications to connect calling activities with existing workflows. Its centralized administration tools support phone number management, device provisioning, user permissions, call recording policies, and communication security across distributed organizations.
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Fathom is an AI meeting assistant that helps users capture, summarize, search, and act on meetings with less manual work. The platform creates accurate transcripts, instant summaries, action items, and follow-up notes so users can focus on live conversations instead of taking notes. Fathom supports both traditional meeting capture and bot-free capture through its desktop app. Teams can use Fathom as a shared source of truth across customer calls, internal meetings, strategy sessions, and project conversations. Ask Fathom lets users search across meetings and ask questions about conversations, decisions, commitments, risks, and next steps. The platform also supports topic monitoring so important moments and signals are easier to find. Fathom syncs meeting notes, insights, and action items into tools such as Slack, Salesforce, HubSpot, Notion, Asana, Gmail, Zoom, Google Meet, Microsoft Teams, ChatGPT, Claude, Zapier, and API or MCP workflows. It supports security and compliance needs with SOC 2 Type II, GDPR, HIPAA compliance, SSO, and SCIM. By combining AI notetaking, bot-free capture, transcripts, summaries, integrations, search, and workflow automation, Fathom helps teams move from meetings to execution faster.
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mT5
The multilingual T5 (mT5) is a highly versatile pretrained text-to-text transformer model, developed using a methodology akin to that of T5. This repository serves as a resource for replicating the findings outlined in the mT5 research paper.
mT5 has been trained on the extensive mC4 corpus, which encompasses 101 different languages, including but not limited to Afrikaans, Albanian, Amharic, Arabic, Armenian, Azerbaijani, Basque, Belarusian, Bengali, Bulgarian, Burmese, Catalan, Cebuano, Chichewa, Chinese, Corsican, Czech, Danish, Dutch, English, Esperanto, Estonian, Filipino, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Haitian Creole, Hausa, Hawaiian, Hebrew, Hindi, Hmong, Hungarian, Icelandic, Igbo, Indonesian, Irish, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Korean, Kurdish, Kyrgyz, Lao, Latin, Latvian, Lithuanian, Luxembourgish, Macedonian, Malagasy, Malay, Malayalam, Maltese, Maori, Marathi, Mongolian, Nepali, Norwegian, Pashto, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Samoan, Scottish Gaelic, Serbian, Shona, Sindhi, and many others. This impressive range of languages makes mT5 a valuable tool for multilingual applications across various fields.
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NVIDIA Parakeet
NVIDIA's Parakeet-RNNT-1.1B is an advanced multilingual automatic speech recognition system designed to deliver high-quality transcriptions for various voice applications. Comprising 1.1 billion parameters and having been trained on over 90,000 hours of audio data, it accommodates 25 different languages along with their regional dialects, such as English, Spanish, French, German, Italian, Arabic, Japanese, Korean, Portuguese, Russian, Hindi, Dutch, Danish, Norwegian, Czech, Polish, Swedish, Thai, Turkish, and Hebrew. This innovative model possesses the capability to automatically identify the spoken language and employs a universal tokenizer that integrates language-specific tokenizers into a unified vocabulary for enhanced cross-lingual learning and deployment. Furthermore, Parakeet-RNNT generates transcripts that are case-sensitive, featuring both uppercase and lowercase letters, punctuation, spaces, and apostrophes, thus ensuring that the output meets the rigorous standards required for production-level voice applications and effective downstream language comprehension. Its versatility and robust performance make it a valuable tool in the realm of speech recognition technology.
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