The hottest Conversational AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Unpredictable Black Boxes are Terrible Interfaces

Maneesh’s Substack • 217 HN points • 30 Mar 23
🕹 Technology AI Interfaces Conversational AI Generative AI
  1. Generative AI models can produce high-quality content but are terrible interfaces due to unpredictable output based on input controls.
  2. Well-designed interfaces allow users to predict how input controls affect outputs, reducing the need for trial-and-error.
  3. Humans, despite being imperfect interfaces, are still better collaborators than AI due to shared semantics and repair mechanisms in conversations.

Making Sense of the ChatGPT User Experience

UX Psychology • 158 implied HN points • 25 Aug 23
🕹 Technology AI User Experience Research Conversational AI
  1. Conversational AI tools like ChatGPT are transforming human-computer interaction by enabling natural language conversations on various topics.
  2. Studies show that features enhancing productivity and enjoyment, while ensuring accuracy, play a crucial role in shaping user experiences with ChatGPT.
  3. While ChatGPT offers benefits like enhanced productivity and user satisfaction compared to traditional methods, there are also notable risks like misinformation that need to be addressed through thoughtful design and transparency.

The Case For Small Language Models

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 13 Feb 24
🕹 Technology AI Models Conversational AI Natural Language Processing Machine Learning Software Development
  1. Small Language Models (SLMs) can do many tasks without the complexity of Large Language Models (LLMs). They are simpler to manage and can be a better fit for common uses like chatbots.
  2. SLMs like Microsoft's Phi-2 are cost-effective and can handle conversational tasks well, making them ideal for applications that don't need the full power of larger models.
  3. Running an SLM locally helps avoid challenges like slow response times, privacy issues, and high costs associated with using LLMs through APIs.

E7 - 🚀🤖✨Transform Your Business with Next-Gen RAG Digital Assistants

The Product Channel By Sid Saladi • 3 implied HN points • 22 Dec 24
🕹 Technology AI Large Language Models Conversational AI Product Management
  1. Next-Gen RAG Digital Assistants use external information to improve AI responses. This helps businesses get more accurate and relevant answers.
  2. Building your own RAG-powered assistant gives you control over data and customization, making it better suited for your specific needs.
  3. RAG assistants can boost productivity in companies by providing quick access to information and enhancing customer engagement through accurate support.
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Week 76 - E4 - Discover the AI PM Universe: The Many Faces of AI Product Managers 🤖

The Product Channel By Sid Saladi • 13 implied HN points • 28 Jan 24
🕹 Technology Generative AI Conversational AI Computer Vision AI Security
  1. AI product management has various roles like AI Infrastructure PMs, Ranking PMs, Generative AI PMs, Conversational AI PMs, Computer Vision PMs, AI Security PMs, and AI Analytics PMs.
  2. Each type of AI PM role has specific skills and responsibilities like deep knowledge of full AI infrastructure tech stacks for AI Infrastructure PMs, tuning relevance algorithms for Ranking PMs, and incorporating human-in-the-loop feedback loops for Generative AI PMs.
  3. To excel in AI Product Management, it's crucial to understand the landscape, develop relevant skills, and embrace a mindset of continuous learning and adaptation to innovate effectively.

When Using The ChatGPT API, Users Will Have To Manage The Context

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 06 Mar 23
🕹 Technology AI APIs NLP Chatbots Conversational AI
  1. When using the ChatGPT API, users must provide context for the conversation because it doesn't remember past interactions. You need to include previous messages to keep the conversation clear.
  2. If the number of messages exceeds a limit, you can keep only the most recent ones to save space. This way, the model still understands the flow of the conversation.
  3. If you want better responses, you should be clear with your instructions and specify what type of answer you need. Changing how you ask questions can help improve the output.