Tag: natural language processing

  • Docker: Announcing IBM Granite AI Models Now Available on Docker Hub

    Source URL: https://www.docker.com/blog/announcing-ibm-granite-ai-models-now-available-on-docker-hub/ Source: Docker Title: Announcing IBM Granite AI Models Now Available on Docker Hub Feedly Summary: IBM’s Granite AI models, optimized for business applications, are now available on Docker Hub, making it easier for developers to deploy, scale, and customize AI-powered apps. AI Summary and Description: Yes Summary: The announcement regarding IBM’s Granite…

  • Simon Willison’s Weblog: Quoting François Chollet

    Source URL: https://simonwillison.net/2024/Oct/16/francois-chollet/ Source: Simon Willison’s Weblog Title: Quoting François Chollet Feedly Summary: A common misconception about Transformers is to believe that they’re a sequence-processing architecture. They’re not. They’re a set-processing architecture. Transformers are 100% order-agnostic (which was the big innovation compared to RNNs, back in late 2016 — you compute the full matrix of…

  • Simon Willison’s Weblog: openai/openai-realtime-console

    Source URL: https://simonwillison.net/2024/Oct/9/openai-realtime-console/#atom-everything Source: Simon Willison’s Weblog Title: openai/openai-realtime-console Feedly Summary: openai/openai-realtime-console I got this OpenAI demo repository working today – it’s an extremely easy way to get started playing around with the new Realtime voice API they announced at DevDay last week: cd /tmp git clone https://github.com/openai/openai-realtime-console cd openai-realtime-console npm i npm start That…

  • Hacker News: Alternatives to cosine similarity

    Source URL: https://tomhazledine.com/cosine-similarity-alternatives/ Source: Hacker News Title: Alternatives to cosine similarity Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses various methods for comparing vectors, particularly in the context of LLM embeddings, emphasizing the utility of cosine similarity over alternative distance functions like Euclidean and Manhattan distances. It underscores the significance of…

  • Hacker News: Ask HN: Who is hiring? (October 2024)

    Source URL: https://news.ycombinator.com/item?id=41709301 Source: Hacker News Title: Ask HN: Who is hiring? (October 2024) Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text outlines the development of a novel AI system that aims to surpass the capabilities of traditional large language models (LLMs). This innovative approach focuses on multi-step reasoning, source citation, and…

  • Hacker News: AMD Unveils Its First Small Language Model AMD-135M

    Source URL: https://community.amd.com/t5/ai/amd-unveils-its-first-small-language-model-amd-135m/ba-p/711368 Source: Hacker News Title: AMD Unveils Its First Small Language Model AMD-135M Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the launch of AMD’s first small language model (SLM), AMD-135M, which incorporates speculative decoding to enhance performance significantly in natural language processing. This development highlights AMD’s commitment to…

  • The Cloudflare Blog: Network trends and natural language: Cloudflare Radar’s new Data Explorer & AI Assistant

    Source URL: https://blog.cloudflare.com/radar-data-explorer-ai-assistant Source: The Cloudflare Blog Title: Network trends and natural language: Cloudflare Radar’s new Data Explorer & AI Assistant Feedly Summary: The Cloudflare Radar Data Explorer provides a simple Web-based interface to build more complex API queries, including comparisons and filters, and visualize the results. The accompanying AI Assistant translates a user’s natural…

  • Cloud Blog: AI-powered visualization and LookML assistants debut for Gemini in Looker

    Source URL: https://cloud.google.com/blog/products/business-intelligence/gemini-in-looker-lookml-assistant-and-visualization-assistant/ Source: Cloud Blog Title: AI-powered visualization and LookML assistants debut for Gemini in Looker Feedly Summary: Today’s business intelligence (BI) landscape is evolving rapidly, as users gain ever more value from their unique datasets with powerful, generative AI-driven data analysis tools. To help accelerate this transformation, and help you create and collaborate…

  • Simon Willison’s Weblog: Introducing Contextual Retrieval

    Source URL: https://simonwillison.net/2024/Sep/20/introducing-contextual-retrieval/#atom-everything Source: Simon Willison’s Weblog Title: Introducing Contextual Retrieval Feedly Summary: Introducing Contextual Retrieval Here’s an interesting new embedding/RAG technique, described by Anthropic but it should work for any embedding model against any other LLM. One of the big challenges in implementing semantic search against vector embeddings – often used as part of…