The hottest Voicebots Substack posts right now

And their main takeaways
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Top Technology Topics

The Conversational AI Technology Landscape: Version 5.0

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 14 May 24
🕹 Technology AI Chatbots Voicebots Natural Language Processing Machine Learning
  1. Voicebots add more complexity to chatbots, requiring new technologies like ASR and TTS. They need to handle issues like latency and background noise to provide a smooth experience.
  2. Agent desktops must integrate well with chatbots to improve customer service. This helps agents access information quickly and provides suggestions to handle customer interactions better.
  3. Cognitive search tools can enhance chatbots by allowing them to access a wider range of information. This helps them answer more diverse questions from users effectively.

Large Language Model (LLM) Disruption of Chatbots

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 23 Oct 23
🕹 Technology AI Chatbots Voicebots NLP Data
  1. Large Language Models (LLMs) are changing the way chatbots are built. They can help improve understanding of what users say by grouping similar questions and making designs easier.
  2. Voice technology is becoming more important in customer support, leading to more complex conversations. This includes using voice recognition and speech synthesis to help handle customer queries.
  3. There are ongoing challenges with trust and privacy when using LLMs. Companies need to make sure they protect personal information while also proving they are using the technology responsibly.

The Conversational AI Technology Landscape: Version 5.0

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 19 Oct 23
🕹 Technology AI Chatbots Voicebots Natural Language Development
  1. The rise of voice technology is changing how chatbots work. Now, they need to handle voice calls and deal with more complex conversations.
  2. Large Language Models are improving chatbot efficiency. They help create training data and can also generate conversations more effectively.
  3. The chatbot market is becoming more complicated. Vendors must adapt to include voice interactions and advanced language processing to stay relevant.

Foundation Conversational AI Technologies Landscape

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 21 Feb 23
🕹 Technology AI NLP Chatbots Voicebots
  1. The conversational AI field is quickly evolving in three main areas: voicebots, agent assistance, and large language model (LLM) enablement.
  2. Many current AI systems focus on generating responses, but there's a missed opportunity to use predictive features effectively.
  3. Traditional natural language understanding systems still perform better in terms of cost and training compared to LLMs, especially for certain tasks.

Foundation Conversational AI Technologies

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 10 Feb 23
🕹 Technology AI NLP Voicebots Chatbots Data Management
  1. Conversational AI (CAI) technologies are grouped by their areas, but sometimes it's tricky to fit them into just one category. Many technologies overlap.
  2. The focus is mainly on foundational technologies instead of specific products or solutions, which are too numerous to cover in detail.
  3. Feedback and suggestions for improvement are encouraged to make future versions better.
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