The hottest Search Substack posts right now

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Grounding: The Holly Grail of Natural Language Processing and Why 99% misunderstand what ChatGPT is all about.

Laszlo’s Newsletter • 32 implied HN points • 12 Feb 23
🕹 Technology NLP Algorithm Communication Search
  1. Grounding in natural language processing is crucial for successful communication by establishing shared mutual information.
  2. ChatGPT lacks grounding capabilities, as it focuses on predicting the next word rather than understanding context.
  3. PageRank by Google prioritizes accuracy over guessing, while ChatGPT may provide inaccurate information due to its lack of grounding.

How Discord Handles Billions of Messages [System Design Sundays]

Technology Made Simple • 39 implied HN points • 17 Oct 22
🕹 Technology System Design Messaging Database Search Engineering
  1. Storage is crucial in system design, requiring detailed analysis of data generated for efficient handling.
  2. Discord uses Cassandra as its database to manage the storage of messages efficiently.
  3. Indexing messages and using tools like ElasticSearch are key for efficient search functionality in large data sets.

GPTs: What are they good for?

Causal Deference • 2 implied HN points • 17 Nov 23
🕹 Technology AI Chatbots Search Machine Learning Innovation
  1. GPTs can be used to create custom chatbots, but the killer app is still elusive.
  2. OpenAI's GPTs feature allows for powerful functionality by combining saved prompts with backend tools like Bing search.
  3. There is potential in developing GPT-based systems with better posting assistance, context awareness, and batch processing for more compelling applications.

Vector Databases: Databases for the AI era

Engineering At Scale • 3 HN points • 15 Jul 23
🕹 Technology Databases AI Search Applications Conclusion
  1. Vector databases are trending in the tech industry, especially with AI applications and investments from various sources.
  2. Data can be classified into structured, semi-structured, and unstructured categories, each requiring different database solutions.
  3. Vector databases excel in handling unstructured data, like images and videos, providing specialized search capabilities for applications like recommendation systems and fraud detection.

Starting with the Answer

Kiernan • 0 implied HN points • 09 Sep 23
🕹 Technology Artificial Intelligence Search Machine Learning AI Applications
  1. Embedding vectors provide numerical representations for different types of content, allowing for easy comparison and search based on similarity.
  2. Starting with the answer in search means casting a broad net by providing an example of what you're looking for, rather than specific keywords.
  3. By utilizing embedding vectors, search results can be tailored to match concepts or sentiments, making searches more efficient and effective.

The end of hypertext

Steven’s Substack • 0 implied HN points • 20 Mar 23
🕹 Technology Internet AI Data Search Generative AI
  1. The internet is shifting from being text-based like a book to being more interactive like conversing with authors.
  2. AI search results are evolving, leading to 'zero-click' searches, where users don't click through to websites, impacting traditional publishers.
  3. Generative AI is transforming information search, enabling the creation of bespoke content and the interaction with vast pools of structured and unstructured data.