Zero-Shot Local Document Parsing with Gemma 4: Treating PDFs as Images

Towards Data Sciencepdfs enterprise document intelligence production rag pipeline relational parsing

A Production RAG Pipeline for PDFs: Relational Parsing, TOC Retrieval, Typed Answers

Enterprise Document Intelligence [Vol.1 #9A] - Same paper, same question as Article 1. One upgraded contract per brick: document parsing, question parsing, retrieval, generation The post A Production RAG Pipeline for PDFs: Relational Parsing, TOC Retrieval, Typed Answers appeared first on Towards Data Science.

Jul 7, 4:30 PM

AI Insidergoogle ai training images video

Google Quietly Opted Users Into AI Training on Their Images, Audio, and Video

Google has updated its Search services privacy settings to allow the company to store and use uploaded media, including images, audio recordings, and video, to train its AI models, a change that was communicated to users via a low-profile email in June and applied by default. The update introduced two new settings, Search Services History […]

Jul 7, 2:13 PM

Towards Data Sciencegemma 4 gpt-5.4 local-cloud workflow hybrid patterns

Stop Choosing Between Local and Cloud LLMs: A Field Guide to Hybrid Patterns

A hands-on walkthrough of a hybrid local-cloud workflow using Gemma 4 and GPT-5.4, with reasoning and structured outputs The post Stop Choosing Between Local and Cloud LLMs: A Field Guide to Hybrid Patterns appeared first on Towards Data Science.

Jun 30, 12:00 PM

ScienceDaily AIimages astronomers modeling dark energy

Millions of exploding stars could soon reveal dark energy's secrets

A new AI-powered framework could transform how astronomers measure the expansion of the Universe. By analyzing images of Type Ia supernovae and modeling their environments in unprecedented detail, researchers can estimate cosmic distances with near-spectroscopic accuracy. The technique is designed for the flood of data expected from the upcoming Vera C. Rubin Observatory and may greatly improve our understanding of dark energy.

Jun 29, 9:57 PM

The New York Times AItechnology images campaigns voter data

Voters Think A.I. Is Terrible. In Campaigns, It’s Everywhere.

A.I.-generated images are the public face of this election overhaul. Behind the scenes, campaigns are using the technology to analyze voter data, craft campaign materials and write custom messages.

Jun 29, 1:46 PM

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From Local LLM to Tool-Using Agent

Using Gemma 4, Ollama, OpenAI Agents SDK, and Tavily MCP to build a lightweight research agent The post From Local LLM to Tool-Using Agent appeared first on Towards Data Science.

Jun 26, 4:30 PM

MarktechPostgemma 4 swe-bench qwen 3.5 mit license

DeepReinforce Releases Ornith-1.0: An Open-Source Coding Model Family That Learns Its Own RL Scaffolds

DeepReinforce released Ornith-1.0, an open-source coding model family built on Gemma 4 and Qwen 3.5. Instead of a fixed harness, the model learns its own scaffold during reinforcement learning. The 397B flagship reports 82.4 on SWE-Bench Verified, with all weights under the MIT license. The post DeepReinforce Releases Ornith-1.0: An Open-Source Coding Model Family That Learns Its Own RL Scaffolds appeared first on MarkTechPost.

Jun 25, 5:11 PM

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5 Open Source Omni AI Models That Handle Text, Images, Audio, and Video

Take a practical look at multimodal, any-to-any systems for vision-language reasoning, speech interaction, document intelligence, real-time assistants, local deployment.

Jun 25, 2:00 PM