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OpenAI's New Image Generator Is Incredible for Creating Fraudulent Documents

Flipboard

Got the Receipts OpenAI's latest image-generating 4o model is surprisingly good at generating text inside images, a feat that had proved particularly difficult for its many predecessors. Guardrails like appended metadata or watermarks that divulge whether an image was generated by an AI are easily overcome.

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OpenAI takes steps to boost AI-generated content transparency

AI News

OpenAI is joining the Coalition for Content Provenance and Authenticity (C2PA) steering committee and will integrate the open standard’s metadata into its generative AI models to increase transparency around generated content. The tool predicts the likelihood an image originated from one of OpenAI’s models.

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LLM-Powered Metadata Extraction Algorithm

Towards AI

This article will focus on LLM capabilities to extract meaningful metadata from product reviews, specifically using OpenAI API. Data processing Since our main area of interest is extracting metadata from reviews, we had to choose a subset of reviews and label it manually with selected fields of interest.

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AIs in India will need government permission before launching

AI News

It also mandates the labelling of deepfakes with permanent unique metadata or other identifiers to prevent misuse. Photo by Naveed Ahmed on Unsplash ) See also: Elon Musk sues OpenAI over alleged breach of nonprofit agreement Want to learn more about AI and big data from industry leaders?

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Choosing the Best Embedding Model For Your RAG Pipeline

Towards AI

For instance, we use query rewriting techniques such as expansion, relaxation, and segmentation, and extract metadata from queries to dynamically build filters for more targeted searches.

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LlamaIndex: Augment your LLM Applications with Custom Data Easily

Unite.AI

Large language models (LLMs) like OpenAI's GPT series have been trained on a diverse range of publicly accessible data, demonstrating remarkable capabilities in text generation, summarization, question answering, and planning. OpenAI Setup : By default, LlamaIndex utilizes OpenAI's gpt-3.5-turbo

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How to use audio data in LlamaIndex with Python

AssemblyAI

The metadata contains the full JSON response of our API with more meta information: print(docs[0].metadata) For example, you can apply a model from OpenAI with a Query Engine. The metadata needs to be smaller than the text chunk size, and since it contains the full JSON response with extra information, it is quite large.

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