Top 7 Open Source OCR Models
Best OCR and vision language models you can run locally that transform documents, tables, and diagrams into flawless markdown copies with benchmark-crushing accuracy.
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AI agent-driven browser automation for enterprise workflow management
Enterprise organizations increasingly rely on web-based applications for critical business processes, yet many workflows remain manually intensive, creating operational inefficiencies and compliance risks. Despite significant technology investments, knowledge workers routinely navigate between eight to twelve different web applications during standard workflows, constantly switching contexts and manually transferring information between systems. Data entry and validation tasks consume approximately 25-30% of worker time, while manual processes create compliance bottlenecks and cross-system data consistency challenges that require continuous human verification. Traditional […]
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Example of Platform as a Service in Cloud Computing Explained!
Cloud computing is no longer just a tech term used by IT teams. Today, students, startups, educators, and small businesses all talk about it. One model that often comes up in these discussions is Platform as a Service, or PaaS. Platform as a Service is commonly discussed when people start learning about cloud technology in a practical way. An example of platform as a service in cloud computing, such as Google App Engine, helps explain how developers can […]
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Prompt Engineering vs RAG for Editing Resumes
Running a code-free comparison in Azure The post Prompt Engineering vs RAG for Editing Resumes appeared first on Towards Data Science.
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An AI Monkey Gets Grapes for Sure — Sphere Neural Networks for Reliable Decision-Making
arXiv:2601.00142v1 Announce Type: new Abstract: This paper compares three methodological categories of neural reasoning: LLM reasoning, supervised learning-based reasoning, and explicit model-based reasoning. LLMs remain unreliable and struggle with simple decision-making that animals can master without extensive corpora training. Through disjunctive syllogistic reasoning testing, we show that reasoning via supervised learning is less appealing than reasoning via explicit model construction. Concretely, we show that an Euler Net trained to achieve 100.00% in classic syllogistic reasoning can be trained […]
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Developers can now submit apps to ChatGPT
Developers can now submit apps for review and publication in ChatGPT, with approved apps appearing in a new in-product directory for easy discovery. Updated tools, guidelines, and the Apps SDK help developers build powerful chat-native experiences that bring real-world actions into ChatGPT.
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Supervisor SHUTS DOWN The Post Office Instead Of Following The Law!
submitted by /u/spreyes [link] [comments]
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ChatGPT launches an app store, lets developers know it’s open for business
OpenAI is looking to populate its flagship chatbot with a host of new user experiences.
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Learning Nonlinear Dynamic Models from Non-sequenced Data
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence, or trajectory, of data generated from the dynamic system. We consider the case where the data is not sequenced. The training data points come from the system’s operation but with no temporal ordering. The data are simply drawn as individual disconnected points. While making this assumption may seem absurd at first glance, many scientific modeling […]
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Need help on implementing dreamer
I have implemented dreamer but cannot get it to solve the walker2d environment. I copied and pasted much of the code from public repositories, but wrote the loss computation part myself. I’ve spent several days trying to debug the code and would really appreciate your help.. I’ve put a github link to the code. I’m suspecting the indexing might be wrong in the computation of lambda returns, but there could many other mistakes. I usually don’t post anything […]
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