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... 9:15
Install SmolDocling-256M Locally: Docling-Based AI Model

Fahd Mirza

1+ months ago 1K views

Dockling is introduced as a powerful tool for document processing that simplifies the extraction of data from diverse formats, including images and PDFs. The newly installed multimodal model retains key features of Dockling, such as efficient tokenization and advanced OCR capabilities. It can process mathematical expressions, extract chart data, and preserve document structure, making it versatile for numerous tasks. The video details the installation process, including working within a virtual environment and testing the model's performance with various document types and languages, highlighting its capabilities and limitations in multilingual contexts.
01:48 - 01:56

Installation process for the Dockling model on an Ubuntu system.

Natural Language Processing (NLP) Research & Innovations
... 4:47
RecCloud Full Review: AI Speech-to-Text That Transforms Your Workflow

doc.online.progress

1+ months ago 3K views

R Cloud is an all-in-one online tool that integrates screen recording, video editing, and cloud storage. Unlike traditional software, it's web-based and accessible from anywhere with an internet connection. Its AI speech-to-text feature aids in transcription with real-time accuracy and support for multiple languages. The platform caters to content creators and professionals, enabling efficient video storage and collaboration. Pricing options offer a free version with limited features and a competitive premium plan for advanced functionalities. Overall, R Cloud is a user-friendly solution for easy video creation and sharing, particularly beneficial for educators and content creators.
RecCloud Speech recognition Tech & Hardware
... 18:1
Why I DON'T Run AI-Models Locally (Only In Docker or Cloud!)

ByteGrad

1+ months ago 1K views

Many individuals download tools from the internet for local execution, but doing so can pose security risks. Using Docker containers provides isolation and added security for running AI models. For further safety, utilizing cloud development environments like Coder allows users to access AI models without taxing their local hardware, ensuring consistency among team members. Coder simplifies setup by providing pre-configured environments for AI, making it easier for teams to use identical versions of AI tools across different projects. This benefits productivity and collaborative workflows, enabling a seamless experience for AI engineers.
03:18 - 03:27

A cloud development environment allows team collaboration with identical AI resources.

Coder AI cloud services Tech & Hardware
... 16:49
Create Your Own Private Local AI Cloud Stack in Under 20 Minutes

Cole Medin

1+ months ago 9K views

Deploying local AI setups to cloud instances provides flexibility and scalability without compromising privacy. The process involves using a comprehensive package that includes various services like LLMs and automation tools. Special attention is given to maintaining secure endpoints through HTTPS, facilitating access for internal teams. The tutorial guides users through the setup process step-by-step, focusing on firewall configurations and DNS records to ensure smooth operation. By utilizing Digital Ocean, users gain access to cost-effective CPU instances suitable for most AI applications, while also addressing considerations for using larger models requiring dedicated GPUs.
02:59 - 03:15

Digital Ocean provides affordable options for CPU instances, ideal for local AI.

AI cloud services Tech & Hardware
... 5:7
Building AI platforms on Vercel

Vercel

1+ months ago 3K views

Building an app for users to deploy their own applications can enhance user experience. The process involves streaming build logs and providing real-time progress updates. New templates are available, enabling deployment of various frameworks and personal file uploads. Using APIs can simplify obtaining a deployable URL for shared use. Claimable deployments let users easily take ownership of their projects, allowing for seamless integration into existing team infrastructures. Open source templates facilitate user customization and AI integrations, such as code generation and chat interfaces, streamlining deployment workflows and improving accessibility for developers and users alike.
04:51 - 05:02

Users can deploy custom applications and AI agents via an intuitive interface.

Vercel AI cloud services Tech & Hardware
... 6:34
Fellow App Review - 2025 | AI Meeting Assistant that Changes Business Meetings FOREVER

Daniel | Tech & Data

1+ months ago 2K views

Fellow is an AI-powered meeting assistant that streamlines workflow by helping users prepare for meetings, take accurate notes, and manage action items. It integrates with major video conferencing apps like Zoom and Google Meet, ensuring privacy and security. The assistant boosts productivity by generating meeting recaps with transcripts and action items after each session, allowing teams to stay organized and focused. Fellow offers features like customizable meeting agendas and real-time suggestions for discussion topics, making it suitable for various meeting types and improving overall efficiency in collaborative work environments.
02:53 - 03:04

Fellow accurately records notes in over 99 languages during meetings.

Fellow Natural Language Processing (NLP) AI Startups
... 8:4
Is Fellow the Best AI Note-Taker for Meetings?

Tool Finder

1+ months ago 1K views

Fellow is an AI-driven note-taking app designed primarily for teams, offering features such as meeting transcription, action item tracking, and analytics. It enhances the meeting experience through pre-planning, in-meeting functionality, and post-meeting follow-up, allowing users to access notes and insights on participants. Notable elements include the ability to generate meeting links, perform real-time collaboration, and utilize AI for agenda creation based on past meetings. Although comprehensive, its many features may overwhelm some users. Pricing ranges from free to $25 per month, with a focus on team use rather than individual setups.
03:52 - 04:00

Action items can be assigned post-meeting, enhancing follow-up.

Fellow Natural Language Processing (NLP) Tech & Hardware
... 32:22
I Built a FULL Web App with n8n, Lovable & Supabase (NO CODE!)

AI Workshop

1+ months ago 4K views

Demonstrating the creation of a full-stack application using Lovable and Supabase, this video showcases functionalities like user authentication, file uploads, and chat capabilities. The application enables users to sign up, log in, upload PDF files to a vector database, and retrieve information through a chat interface. Through a step-by-step guide, the speaker illustrates the integration of frontend and backend systems, emphasizing the importance of connecting web hooks for seamless data interaction. The completion of the tutorial leaves viewers equipped to build custom applications using the demonstrated tools and workflows.
04:50 - 05:46

Using AI to retrieve educational information from uploaded resumes.

n8n Chatbots Education
... 32:22
I Built a FULL Web App with n8n, Lovable & Supabase (NO CODE!)

AI Workshop

1+ months ago 4K views

Demonstrating the creation of a full-stack application using Lovable and Supabase, this video showcases functionalities like user authentication, file uploads, and chat capabilities. The application enables users to sign up, log in, upload PDF files to a vector database, and retrieve information through a chat interface. Through a step-by-step guide, the speaker illustrates the integration of frontend and backend systems, emphasizing the importance of connecting web hooks for seamless data interaction. The completion of the tutorial leaves viewers equipped to build custom applications using the demonstrated tools and workflows.
04:50 - 05:46

Using AI to retrieve educational information from uploaded resumes.

n8n Chatbots Education