Tag: natural language processing (NLP)

  • Hacker News: Jeremy Howard taught AI and helped invent ChatGPT. He fears he’s failed

    Source URL: https://www.abc.net.au/news/science/2023-11-15/jeremy-howard-taught-ai-to-the-world-and-helped-invent-chatgpt/103092474 Source: Hacker News Title: Jeremy Howard taught AI and helped invent ChatGPT. He fears he’s failed Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides an overview of Jeremy Howard’s contributions to the development of natural language processing (NLP) and large language models (LLMs), ultimately leading to tools like…

  • Hacker News: How to Implement a Cosine Similarity Function in TypeScript

    Source URL: https://alexop.dev/posts/how-to-implement-a-cosine-similarity-function-in-typescript-for-vector-comparison/ Source: Hacker News Title: How to Implement a Cosine Similarity Function in TypeScript Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text delves into the concept of cosine similarity, particularly its applications in AI, such as semantic search and AI-powered recommendations. It outlines the mathematical basis for cosine similarity…

  • OpenAI : Orion

    Source URL: https://openai.com/index/gpt-4-5-system-card Source: OpenAI Title: Orion Feedly Summary: We’re releasing a research preview of OpenAI GPT‑4.5, our largest and most knowledgeable model yet. AI Summary and Description: Yes Summary: OpenAI’s release of GPT-4.5 highlights advancements in AI technology, emphasizing its significance for professionals in AI and security fields. The information reinforces the ongoing evolution…

  • Cloud Blog: The IT Admin’s Guide to Google AI

    Source URL: https://cloud.google.com/blog/products/chrome-enterprise/the-it-admins-guide-to-google-ai/ Source: Cloud Blog Title: The IT Admin’s Guide to Google AI Feedly Summary: Artificial intelligence is transforming how we work, learn, and interact with technology every day, offering never-before-seen opportunities to increase efficiency and improve end-user experiences. However, effectively managing a fleet of devices with so much new technology requires staying ahead…

  • Hacker News: Protoclone, the first bipedal, musculoskeletal Android

    Source URL: https://clonerobotics.com/android Source: Hacker News Title: Protoclone, the first bipedal, musculoskeletal Android Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the emergence of natural language interfaces, particularly highlighting the evolution represented by the Clone Alpha, which leverages large language models (LLMs) to facilitate communication in plain English. This development signifies…

  • Simon Willison’s Weblog: Nomic Embed Text V2: An Open Source, Multilingual, Mixture-of-Experts Embedding Model

    Source URL: https://simonwillison.net/2025/Feb/12/nomic-embed-text-v2/#atom-everything Source: Simon Willison’s Weblog Title: Nomic Embed Text V2: An Open Source, Multilingual, Mixture-of-Experts Embedding Model Feedly Summary: Nomic Embed Text V2: An Open Source, Multilingual, Mixture-of-Experts Embedding Model Nomic continue to release the most interesting and powerful embedding models. Their latest is Embed Text V2, an Apache 2.0 licensed multi-lingual 1.9GB…

  • Cloud Blog: How to build a strong brand logo with Imagen 3 and Gemini

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/build-a-brand-logo-with-imagen-3-and-gemini/ Source: Cloud Blog Title: How to build a strong brand logo with Imagen 3 and Gemini Feedly Summary: Last year we announced Imagen 3, our highest quality image generation model. Imagen 3 is available to Vertex AI customers, which means businesses can create high quality images that reflect their own brand style…

  • Hacker News: Calculate the number of language model tokens for a string

    Source URL: https://blog.mastykarz.nl/calculate-number-language-model-tokens-string/ Source: Hacker News Title: Calculate the number of language model tokens for a string Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides guidance on calculating the number of language model tokens for a given string, which is essential for developers working with AI and NLP applications. The method…