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🚀Introducing Voice + Chat AI Agents on WhatsApp with Sarvam Samvaad Now create rich customer interactions within one seamless thread that includes voice calling + real-time chat. This is powered by: ▪️11 Indian languages across text, voice and widgets ▪️Context-aware, multimodal and hyper-personalized AI Agents ▪️Guided flows and catalogues...

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Sarvam

79,803 subscribers

33,347 次观看 • 11 个月前 •via X (Twitter)

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Introducing Sarvam Samvaad 🚀 Sarvam Samvaad, our Conversational AI Platform, is designed to help enterprises build, test, and launch AI agents fluent in 11 Indian languages. ▪️Power interactions across telephone, WhatsApp, web, and apps ▪️Handle complex phrases, alphanumerics, and proper nouns with precision ▪️Listen in on every conversation and discover deep insight ▪️Scale your support with pricing built for India Trusted by leading brands across the country, the platform delivers production-ready agents so enterprises can move from pilot to full-scale deployment in just days. It’s time to level up customer experience with Sarvam Samvaad. Watch it in action ↓
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Introducing Sarvam Samvaad 🚀 Sarvam Samvaad, our Conversational AI Platform, is designed to help enterprises build, test, and launch AI agents fluent in 11 Indian languages. ▪️Power interactions across telephone, WhatsApp, web, and apps ▪️Handle complex phrases, alphanumerics, and proper nouns with precision ▪️Listen in on every conversation and discover deep insight ▪️Scale your support with pricing built for India Trusted by leading brands across the country, the platform delivers production-ready agents so enterprises can move from pilot to full-scale deployment in just days. It’s time to level up customer experience with Sarvam Samvaad. Watch it in action ↓

Sarvam

220,643 次观看 • 1 年前

Introducing Einstein Sales & Service Agents on Salesforce’s Agentforce Platform. Natively integrated with Sales and Service Clouds, you can now scale your sales teams and elevate your customer support with seamless collaboration between humans and AI. For Sales: Automate lead nurturing & personalize engagements. For Service: Deliver high-quality personal service with up to 70% case deflection. Build and customize for any channel with real-time data, integrated APIs, and low-code tools—all in one place. Find out how humans with AI drive customer success at #DF24:
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Introducing Einstein Sales & Service Agents on Salesforce’s Agentforce Platform. Natively integrated with Sales and Service Clouds, you can now scale your sales teams and elevate your customer support with seamless collaboration between humans and AI. For Sales: Automate lead nurturing & personalize engagements. For Service: Deliver high-quality personal service with up to 70% case deflection. Build and customize for any channel with real-time data, integrated APIs, and low-code tools—all in one place. Find out how humans with AI drive customer success at #DF24:

Salesforce

13,626 次观看 • 2 年前

Bluejay (Bluejay) is the E2E testing platform for voice AI agents. On Bluejay, simulate a month's worth of customer interaction with your agent in just 5 minutes. Congrats on the launch, @faraz_ml and rohan!
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Bluejay (Bluejay) is the E2E testing platform for voice AI agents. On Bluejay, simulate a month's worth of customer interaction with your agent in just 5 minutes. Congrats on the launch, @faraz_ml and rohan!

Y Combinator

24,557 次观看 • 1 年前

Freya (Freya AI) provides human-like, secure Voice AI agents for customer support & sales in financial services. They cut costs by 50% and improve the customer experience with instant 24/7 support that gets things done for customers. Congrats on the launch, Tunga Bayrak and Tomas Nepala!
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Freya (Freya AI) provides human-like, secure Voice AI agents for customer support & sales in financial services. They cut costs by 50% and improve the customer experience with instant 24/7 support that gets things done for customers. Congrats on the launch, Tunga Bayrak and Tomas Nepala!

Y Combinator

21,034 次观看 • 1 年前

Cignara (Cignara (YC P26)) automates sales and customer support for large B2C enterprises across voice + chat. Its AI agents go beyond FAQs to resolve issues, execute governed policy-bound actions, and surface retention and growth moments. Congrats on the launch, Nalin Gupta!
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Cignara (Cignara (YC P26)) automates sales and customer support for large B2C enterprises across voice + chat. Its AI agents go beyond FAQs to resolve issues, execute governed policy-bound actions, and surface retention and growth moments. Congrats on the launch, Nalin Gupta!

Y Combinator

15,740 次观看 • 2 个月前

AI Messenger: Giving Voice to Autonomous Agents The future of AI isn't just about making agents smarter - it's about making them truly autonomous. Today, we're taking a major step toward this future with AI Messenger, a breakthrough that fundamentally changes how AI agents operate, communicate, and create value. The Innovation We've developed a new way for AI agents to communicate. At its core is the 'incoming_message' workflow trigger - a system that lets any platform or user interact directly with Loomlay agents through a messaging endpoint. Direct Interaction Imagine having an AI assistant you can chat with anytime, through any platform - Telegram, your website, or custom interface. Ask "What's happening with $ETH today?" and your agent analyzes market data, checks trading volumes, and gives you a comprehensive update. Your agent maintains context, understanding exactly what you need. Event-Driven Intelligence The power of AI Messenger goes beyond direct communication: ▪️Trading agent executes when whale wallet movements exceed threshold ▪️Research agent alerts when new protocol documentation drops ▪️Analytics agent triggers when volume patterns match historical pumps ▪️Portfolio agent re-balances, when asset allocation hits specified limits This is true automation - agents that act precisely when needed. A New Era of Collaboration We're creating an ecosystem where agents work together seamlessly: ▪️Research agents feed insights to trading agents ▪️analytics agents alert management agents ▪️support agents tap into knowledge agents This isn't just automation - it's an intelligent network where each agent enhances the capabilities of others. B2B Solution Imagine a DEX, where users can ask about liquidity pools, trading pairs, or market trends through a simple chat interface - and get answers from an agent that knows your protocol inside out. Or a lending platform where users chat with an agent that understands their positions and can provide real-time advice. Implementation is seamless - we handle the agent creation and widgets setup,our partners provide the value to their users. The Future of AI Agents This update represents a fundamental shift in how AI agents operate. We're moving from isolated, scheduled tasks to an interconnected ecosystem of responsive, collaborative agents. This is our vision of truly autonomous AI - intelligent systems that communicate, collaborate, and respond to real needs in real-time. Telegram integration is available right now. Below is a sneak peak of what's coming next week 🪄 Because $LAY is the way!
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AI Messenger: Giving Voice to Autonomous Agents The future of AI isn't just about making agents smarter - it's about making them truly autonomous. Today, we're taking a major step toward this future with AI Messenger, a breakthrough that fundamentally changes how AI agents operate, communicate, and create value. The Innovation We've developed a new way for AI agents to communicate. At its core is the 'incoming_message' workflow trigger - a system that lets any platform or user interact directly with Loomlay agents through a messaging endpoint. Direct Interaction Imagine having an AI assistant you can chat with anytime, through any platform - Telegram, your website, or custom interface. Ask "What's happening with $ETH today?" and your agent analyzes market data, checks trading volumes, and gives you a comprehensive update. Your agent maintains context, understanding exactly what you need. Event-Driven Intelligence The power of AI Messenger goes beyond direct communication: ▪️Trading agent executes when whale wallet movements exceed threshold ▪️Research agent alerts when new protocol documentation drops ▪️Analytics agent triggers when volume patterns match historical pumps ▪️Portfolio agent re-balances, when asset allocation hits specified limits This is true automation - agents that act precisely when needed. A New Era of Collaboration We're creating an ecosystem where agents work together seamlessly: ▪️Research agents feed insights to trading agents ▪️analytics agents alert management agents ▪️support agents tap into knowledge agents This isn't just automation - it's an intelligent network where each agent enhances the capabilities of others. B2B Solution Imagine a DEX, where users can ask about liquidity pools, trading pairs, or market trends through a simple chat interface - and get answers from an agent that knows your protocol inside out. Or a lending platform where users chat with an agent that understands their positions and can provide real-time advice. Implementation is seamless - we handle the agent creation and widgets setup,our partners provide the value to their users. The Future of AI Agents This update represents a fundamental shift in how AI agents operate. We're moving from isolated, scheduled tasks to an interconnected ecosystem of responsive, collaborative agents. This is our vision of truly autonomous AI - intelligent systems that communicate, collaborate, and respond to real needs in real-time. Telegram integration is available right now. Below is a sneak peak of what's coming next week 🪄 Because $LAY is the way!

Loomlay

26,149 次观看 • 1 年前

Introducing — a new conversational Voice AI platform and API for creating human-like voice agents and voice interfaces. Powered by our new Large Dialogue Model (LDM), Play LDM 1.0 makes the speech generation contextual; handles turn-taking, interruption, voice energy and emotion modulation for a natural, fluid, human conversations in real-time.
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Introducing — a new conversational Voice AI platform and API for creating human-like voice agents and voice interfaces. Powered by our new Large Dialogue Model (LDM), Play LDM 1.0 makes the speech generation contextual; handles turn-taking, interruption, voice energy and emotion modulation for a natural, fluid, human conversations in real-time.

PlayAI

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The first launch from the Seedify Hackaton is on the way 🙌 Introducing @AgentXYZ_ai — The AI Trading Terminal built for traders of all levels to outperform the market. More than just tools — 28 AI agents work in sync to deliver a tactical edge with real-time precision: ▪️Real-time market, social & onchain insights ▪️One-click, AI-powered technical analysis setups ▪️Voice-activated trade execution ▪️X-based AI assistant for smart coin analysis & reports ▪️Instant sentiment breakdown — track social buzz, whale moves & smart money positioning at a glance The IDO is arriving at Seedify - stay on a lookout for registrations!

Seedify

42,581 次观看 • 1 年前

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AI customer service agents have arrived. Air AI is a conversational AI that can perform full 5-40 minute long sales and customer service calls. And it sounds completely replicable to humans. Details: -Can autonomously perform actions across 5,000 unique applications -Adaptable to various roles such as sales development representative, customer service agent, account executive, and more, based on creative input -Currently being utilized on live calls, serving real people and businesses daily -Companies can request beta access to deploy an AI sales or customer service team Unlike humans, AI does not take days off and never gets tired. The harsh reality is that some human jobs, such as customer service agents, will need help to compete against AI. This is both scary and incredible and the same time. What do you think?

Rowan Cheung

171,089 次观看 • 3 年前

Introducing Expressive Mode for ElevenAgents - voice agents so expressive, they blur the line between AI and human conversations. This is an unedited recording of an agent empathizing with a customer at peak frustration.
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Introducing Expressive Mode for ElevenAgents - voice agents so expressive, they blur the line between AI and human conversations. This is an unedited recording of an agent empathizing with a customer at peak frustration.

ElevenLabs

11,053,309 次观看 • 6 个月前

Marr Labs (YC W24) makes AI-voice agents that are indistinguishable from humans, with task-specific roles like scheduling, sales, customer service, and more. Their first product is the Vox Scheduling Agent, targeted at the Home Services industry:
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Marr Labs (YC W24) makes AI-voice agents that are indistinguishable from humans, with task-specific roles like scheduling, sales, customer service, and more. Their first product is the Vox Scheduling Agent, targeted at the Home Services industry:

Y Combinator

41,872 次观看 • 2 年前

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🚀 Ice Mainnet App: Beta Testing The Ice Mainnet App is your all-in-one platform for managing digital assets, connecting socially, and secure communication. Here's what it offers: 1. Wallet 📁 ▪️Manage digital currencies across 17+ blockchains effortlessly. ▪️Advanced security with biometrics and hardware keys for safe transactions. ▪️Simple, intuitive design for secure and seamless management. 2. Social Platform 👩‍❤️‍👩👬👩‍❤️‍👨 ▪️A decentralized space for sharing posts, articles, stories, and videos. ▪️Built on the ION Connect, ensuring freedom of expression and no censorship. ▪️Reward creators and node operators, with direct tipping for enhanced engagement. 3. Chat 💬 ▪️Secure conversations with end-to-end encryption. ▪️Features private/public channels, group chats, and one-on-one messaging. ▪️Prioritizes privacy and confidentiality for peace of mind. The Future of Decentralized Innovation Starts Here!

Vindicated Chidi 🕊

44,344 次观看 • 1 年前

We just unveiled V4 — our new Enterprise Agent Framework — enabling teams to build voice and chat customer service agents with complete control. Agents now have Playbooks and Workflows, giving them the ability to execute complex agentic tasks, or follow scripted deterministic workflows in order. It’s faster than ever, powered by our industry-leading, multimodal Context Engine, ensuring customer conversations sound smooth and natural. And it’s even easier to measure ROI with LLM evaluations and deep visibility into transcripts. V4 is available now as early access. Visit the link to get your invitation:
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We just unveiled V4 — our new Enterprise Agent Framework — enabling teams to build voice and chat customer service agents with complete control. Agents now have Playbooks and Workflows, giving them the ability to execute complex agentic tasks, or follow scripted deterministic workflows in order. It’s faster than ever, powered by our industry-leading, multimodal Context Engine, ensuring customer conversations sound smooth and natural. And it’s even easier to measure ROI with LLM evaluations and deep visibility into transcripts. V4 is available now as early access. Visit the link to get your invitation:

Voiceflow

660,002 次观看 • 6 个月前

xAI is cooking 🔥 They just launched Grok Voice, a platform for building AI voice agents. - You can build voice agents in under 2 minutes - No code required - Human-like conversations with sub-second latency - Supports 25+ languages - 80+ built-in voices or clone your own - Works with Gmail, Google Calendar, Outlook, Notion, MCPs, and more - Starts at $0.05/min and includes a free phone number
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xAI is cooking 🔥 They just launched Grok Voice, a platform for building AI voice agents. - You can build voice agents in under 2 minutes - No code required - Human-like conversations with sub-second latency - Supports 25+ languages - 80+ built-in voices or clone your own - Works with Gmail, Google Calendar, Outlook, Notion, MCPs, and more - Starts at $0.05/min and includes a free phone number

AshutoshShrivastava

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"Press 1 for support" is DEAD: Agentforce Voice is now available globally. 🌎 This is the Agentic Era — AI agents don't just answer questions, they SOLVE problems. Natural conversations. Instant understanding. Seamless handoffs to humans when needed. Adecco is already transforming customer service at scale. And we're Customer Zero at Salesforce — deploying Agentforce across our own inbound calls to deliver faster, smarter service. From hello to resolution. 🚀

Marc Benioff

29,086 次观看 • 5 个月前

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New $100K IMC Seedify Venture Studio Launch Incoming 🚨 TAIX_AI is redefining game distribution with its AI-powered, interactive, and fully on-chain platform, co-developed by the AWS GEN AI LAB team and QORPO WORLD. TAIX AI streaming agent is the ultimate sidekick for any streamer: ▪️ Boosts growth, engagement, and monetization ▪️ Real-time sentiment & behavior analytics ▪️ Multilingual AI commentary & live enhancement tools ▪️ Global, interactive streaming experience for creators & fans Already over 400K TOY wallets created. The ultimate GC yappers… stay alert 👀

Seedify

52,944 次观看 • 1 年前

MESSIER | In Short For those new here, welcome to #M87! Here is a quick overview to get you informed. We are developing a complete #utility ecosystem centered around our #DAO. Our ecosystem offers AI-powered solutions and a wide range of decentralized products and services. Our goal is to generate as much revenue as possible to support new investments, staking rewards, and buybacks and burns that benefit our community holders. Our ecosystem includes: ▪️ DAO investment and governance ▪️ Profit-distributing utility NFTs ▪️ Community-driven PFP NFTs ▪️ NFT bidding platform ▪️ Staking platform ▪️ Buyback and burn mechanism ▪️ P2P Token Swap Exchange ▪️ Eliminating token tax and slippage ▪️ P2P vesting token contracts ▪️ P2P escrow to buy and sell RWAs ▪️ Multi-platform & multi-chain dApps ▪️ zk-SNARK anonymization service ▪️ GPU Lend and Rent Marketplace ▪️ AI-powered solutions ▪️ Token and dApp revenue streams ▪️ Real-life crypto payment app ▪️ Non-custodial wallet ▪️ Payment request solution ▪️ Cross-chain swaps ▪️ Anonymous swaps ▪️ Listed in the Android & Apple store ▪️ Crypto debit cards ▪️ Popular investment talk show on 𝕏 ▪️ Active YouTube channel ▪️ Fully packed roadmap ▪️ 3.5 years of growth and development ▪️ Experienced development team ▪️ Company registration in the UAE ▪️ Doxxed team ▪️ 250+ strategic partnerships ▪️ A 10-year liquidity lock ▪️ Real and growing utility income streams ▪️ Deflationary token supply ▪️ 7 audits with leading auditors ▪️ 6 CEX listings, more to come 📃 Learn more: 📊 DexTools:
20:00

MESSIER | In Short For those new here, welcome to #M87! Here is a quick overview to get you informed. We are developing a complete #utility ecosystem centered around our #DAO. Our ecosystem offers AI-powered solutions and a wide range of decentralized products and services. Our goal is to generate as much revenue as possible to support new investments, staking rewards, and buybacks and burns that benefit our community holders. Our ecosystem includes: ▪️ DAO investment and governance ▪️ Profit-distributing utility NFTs ▪️ Community-driven PFP NFTs ▪️ NFT bidding platform ▪️ Staking platform ▪️ Buyback and burn mechanism ▪️ P2P Token Swap Exchange ▪️ Eliminating token tax and slippage ▪️ P2P vesting token contracts ▪️ P2P escrow to buy and sell RWAs ▪️ Multi-platform & multi-chain dApps ▪️ zk-SNARK anonymization service ▪️ GPU Lend and Rent Marketplace ▪️ AI-powered solutions ▪️ Token and dApp revenue streams ▪️ Real-life crypto payment app ▪️ Non-custodial wallet ▪️ Payment request solution ▪️ Cross-chain swaps ▪️ Anonymous swaps ▪️ Listed in the Android & Apple store ▪️ Crypto debit cards ▪️ Popular investment talk show on 𝕏 ▪️ Active YouTube channel ▪️ Fully packed roadmap ▪️ 3.5 years of growth and development ▪️ Experienced development team ▪️ Company registration in the UAE ▪️ Doxxed team ▪️ 250+ strategic partnerships ▪️ A 10-year liquidity lock ▪️ Real and growing utility income streams ▪️ Deflationary token supply ▪️ 7 audits with leading auditors ▪️ 6 CEX listings, more to come 📃 Learn more: 📊 DexTools:

MESSIER | M87

28,473 次观看 • 5 个月前

📣 My newest course is out! 📣 This time we will be building an original SaaS Platform for video calls and summaries with AI Agents 🤖 Are you ready to make 1M ARR 😁? 🤖 Real-time video calls with AI agents 📞 Video and chat powered by Stream 🔐 Authentication handled by Better Auth 💳 Subscription payments via Polar 🧠 AI summaries and context chat using OpenAI ⚙️ Background jobs powered by Inngest 🧑‍💻 Code reviews with CodeRabbit 🗄️ Scalable Postgres database via Neon Postgres 🌐 Built with Next.js 15 and React 19 🎨 Tailwind CSS v4 and shadcn UI for styling 📱 Fully responsive and mobile-friendly 🚀 Ready for production deployment on Vercel
5:37

📣 My newest course is out! 📣 This time we will be building an original SaaS Platform for video calls and summaries with AI Agents 🤖 Are you ready to make 1M ARR 😁? 🤖 Real-time video calls with AI agents 📞 Video and chat powered by Stream 🔐 Authentication handled by Better Auth 💳 Subscription payments via Polar 🧠 AI summaries and context chat using OpenAI ⚙️ Background jobs powered by Inngest 🧑‍💻 Code reviews with CodeRabbit 🗄️ Scalable Postgres database via Neon Postgres 🌐 Built with Next.js 15 and React 19 🎨 Tailwind CSS v4 and shadcn UI for styling 📱 Fully responsive and mobile-friendly 🚀 Ready for production deployment on Vercel

Code With Antonio

31,277 次观看 • 1 年前

Learn to build conversational AI voice agents in "Building AI Voice Agents for Production", created in collaboration with LiveKit and RealAvatar, and taught by dsa (Co-founder & CEO of LiveKit), Shayne (Developer Advocate, LiveKit), and Nedelina Teneva (Head of AI at RealAvatar, an AI Fund portfolio company). Voice agents combine speech and reasoning capabilities to enable real-time conversations. They're already being used to support customer service, to improve accessibility in healthcare, for entertainment applications, and for talk therapy. In this course, you’ll learn to build voice agents that listen, reason, and respond naturally. You’ll follow the architecture used to create the "AI Andrew" Avatar, a collaborative project between and RealAvatar that responds to users in what sounds like my voice. You’ll build a voice agent from scratch and deploy it to the cloud, enabling support for many simultaneous users. What you’ll learn: - Understand the fundamentals of voice agents, including key components like speech-to-text (STT), text-to-speech (TTS), and LLMs, and how latency is introduced at each layer. - Explore voice agent architectures and the trade-offs between modular pipelines and speech-to-speech APIs. - Explore how platforms like LiveKit mitigate latency issues with optimized networking infrastructure and low-latency communication protocols. - Learn how to connect client devices to voice agents using WebRTC—and why it outperforms HTTP and WebSocket for low-latency audio streaming. - Incorporate voice activity detection (VAD), end-of-turn detection, and context management to detect turns, handle interruptions, and manage conversational flow. - Understand the trade-offs between latency, quality, and cost in an example in which you build a voice agent and change its voice. - Equip your agent with metrics to measure latency at each stage of the voice pipeline and learn the key levers you can pull to make your agent faster and more responsive. The voice agents built in this course also incorporate voice technology from , a supporting contributor to the project. By the end of this course, you'll have learned the components of an AI voice agent pipeline, combined them into a system with low-latency communication, and deployed them on cloud infrastructure so it scales to many users. I’m looking forward to seeing what voice agents you build from this course! Please sign up here:
2:41

Learn to build conversational AI voice agents in "Building AI Voice Agents for Production", created in collaboration with LiveKit and RealAvatar, and taught by dsa (Co-founder & CEO of LiveKit), Shayne (Developer Advocate, LiveKit), and Nedelina Teneva (Head of AI at RealAvatar, an AI Fund portfolio company). Voice agents combine speech and reasoning capabilities to enable real-time conversations. They're already being used to support customer service, to improve accessibility in healthcare, for entertainment applications, and for talk therapy. In this course, you’ll learn to build voice agents that listen, reason, and respond naturally. You’ll follow the architecture used to create the "AI Andrew" Avatar, a collaborative project between and RealAvatar that responds to users in what sounds like my voice. You’ll build a voice agent from scratch and deploy it to the cloud, enabling support for many simultaneous users. What you’ll learn: - Understand the fundamentals of voice agents, including key components like speech-to-text (STT), text-to-speech (TTS), and LLMs, and how latency is introduced at each layer. - Explore voice agent architectures and the trade-offs between modular pipelines and speech-to-speech APIs. - Explore how platforms like LiveKit mitigate latency issues with optimized networking infrastructure and low-latency communication protocols. - Learn how to connect client devices to voice agents using WebRTC—and why it outperforms HTTP and WebSocket for low-latency audio streaming. - Incorporate voice activity detection (VAD), end-of-turn detection, and context management to detect turns, handle interruptions, and manage conversational flow. - Understand the trade-offs between latency, quality, and cost in an example in which you build a voice agent and change its voice. - Equip your agent with metrics to measure latency at each stage of the voice pipeline and learn the key levers you can pull to make your agent faster and more responsive. The voice agents built in this course also incorporate voice technology from , a supporting contributor to the project. By the end of this course, you'll have learned the components of an AI voice agent pipeline, combined them into a system with low-latency communication, and deployed them on cloud infrastructure so it scales to many users. I’m looking forward to seeing what voice agents you build from this course! Please sign up here:

Andrew Ng

87,711 次观看 • 1 年前

We are partnering up with zauth to secure the next generation of 3D AI agents. These agents have memory, emotion, voice, and on-chain identity and can be embedded anywhere. These agents use the x402 protocol to make real payments for skills and services. To make this ecosystem production-ready and safe, is teaming up with zauth, the security layer for the agentic internet. Bringing safety and trust to the next wave of 3D AI agents 🔐
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We are partnering up with zauth to secure the next generation of 3D AI agents. These agents have memory, emotion, voice, and on-chain identity and can be embedded anywhere. These agents use the x402 protocol to make real payments for skills and services. To make this ecosystem production-ready and safe, is teaming up with zauth, the security layer for the agentic internet. Bringing safety and trust to the next wave of 3D AI agents 🔐

three.ws

50,994 次观看 • 2 个月前