The hottest Voice Assistants Substack posts right now

And their main takeaways
Category
Top Technology Topics

Apple's AI Strategy in a Nutshell

Enterprise AI Trends • 43 HN points • 11 Jun 24
🕹 Technology AI Trends Data Privacy Voice Assistants
  1. Apple is taking AI seriously and has built its own data center to support its AI projects. This means they have more control and can create better AI experiences for users.
  2. Apple's Siri is expected to become more useful with new features that allow it to perform tasks hands-free, which could lead to a significant increase in AI usage among everyday people.
  3. Apps may struggle to get noticed as Siri might execute tasks without users needing to open them. This could limit how users interact with individual applications.

The Tech Buffet #5: Build and Deploy a Voice Assistant with LangChain

The Tech Buffet • 19 implied HN points • 01 Oct 23
🕹 Technology Machine Learning App Development Voice Assistants Cloud Computing
  1. You can build a voice assistant using LangChain by combining speech-to-text, a language model, and text-to-speech. It's a fun project that teaches you about machine learning.
  2. The tutorial breaks down the process into separate parts, making it easier to follow along step by step. You'll learn not just how to code, but also about app development and deployment.
  3. To deploy your assistant, you can use BentoML for serving your models and BentoCloud for cloud deployment. This setup allows for a smooth transition from local development to a live application.

ChatGPT and Search: Part 2

From First Principles • 1 HN point • 13 Feb 23
🕹 Technology Search Engines Artificial Intelligence Voice Assistants Mobile technology Advertising
  1. Google thrived by putting the user experience first, compared to competitors that were distracted by various things.
  2. Google's innovative search features, clean user interface, and strong search quality helped it maintain supremacy over rivals like Yahoo! and Bing.
  3. Facebook was not a significant threat to Google Search; Google survived challenges from mobile devices by launching features tailored for mobile search.

Large Language Model Use & Augmentation

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 24 Jul 24
🕹 Technology AI NLP Machine Learning Chatbots Voice Assistants
  1. Large Language Models (LLMs) like GPT-3 have opened up new possibilities for applications, but they also have significant limitations. These include not being able to remember past conversations and giving different answers to the same question.
  2. LLMs can produce incorrect or misleading information, a phenomenon known as 'hallucinations'. This can be a challenge, especially when accuracy is needed, but certain strategies can help improve their responses.
  3. AI agents built on LLMs can perform specific tasks by using tools and making decisions. This makes them useful in various applications, like answering questions or managing purchases.
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