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... 10:33
SmolDocling OCR: The Best Open Source AI Model for OCR 🚀

AI Anytime

1+ months ago 2K views

Small Doling is an ultra-compact open-source vision language model designed for document understanding and OCR tasks. It boasts 256 million parameters and outperforms existing models like M in optical character recognition. The model provides efficient processing capabilities for various document types and can handle tables, equations, and other structures. Demonstrated through an app, users can convert images to text, markdown, and other formats quickly. Future improvements include enhanced chart recognition and multi-page inference. The accessible codebase supports broader experimentation and implementation in document processing tasks.
03:16 - 03:43

Overview of Small Doling OCR app functionalities for document processing.

Image Recognition Education
... 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
... 6:21
Powering AI with Smarter Data Lakehouses

DATAcated

1+ months ago 5K views

Molly from Dro discusses the importance of AI in data lakehouse architectures at the Gartner Data and Analytics Summit. Key insights highlight the need for high-quality, trustworthy AI production and growing trends in data governance. Upcoming releases from Dro focus on enhancing intelligence with features like autonomous reflections and AI-enabled semantic search. Dro's approach emphasizes unifying data access to build a solid foundation for AI readiness, aiming to ensure quality and quantity in data to optimize AI model performance.
02:07 - 02:21

Dro's new releases aim to enhance intelligence with autonomous reflections.

Dremio Big Data Analytics Research & Innovations
... 17:5
AI is going to kill new tech (unless we fix it)

Davis

1+ months ago 3K views

LLMs excel at established technologies but struggle with newer ones such as Svelte. Despite initial skepticism about AI's usefulness, adopting LLMs for everyday tasks has proven beneficial. However, attempts at generating Svelte code with models often yield confusing results due to a lack of updated training data. Testing various models on tasks revealed significant limitations, particularly with newer frameworks and libraries. Leveraging semantic search and context-based strategies is suggested as a solution to enhance LLM outputs, but challenges remain in achieving consistent and accurate responses.
01:09 - 01:51

Recent training models do better in understanding newer technologies like Svelte.

Natural Language Processing (NLP) AI Trends
... 34:
I Got AI To Fix AC Milan...

ZakPlays

1+ months ago 4K views

AC Milan's ongoing struggles in the Serie A and Champions League led to the decision to use artificial intelligence to improve their squad. AI manager Chat GPT was tasked with signing players to boost performance, including notable acquisitions like Benjamin Sesco and Kyle Walker. With a focus on strategic decisions, the team aimed to finish in the top six and achieve a significant sales target. After navigating a challenging season with ups and downs, including cup finals, the AI significantly improved the team's standings, ultimately leading to winning the league and cup but still falling short in the Champions League.
04:47 - 05:10

AI manager showcased impressive results, winning the league and cups.

Machine Learning Entertainment
... 9:14
Data Lakehouse, Data Quality and Scaling AI

The Ravit Show

1+ months ago 4K views

Data lake house advancements reflect significant industry progress over the past two years. Enterprises are increasingly focused on customizing AI models with their proprietary data, incorporating both structured and unstructured data to enhance operational productivity and market share. Data quality remains critical, emphasizing the importance of training models effectively with reliable data. Key misconceptions involve viewing structured and unstructured data as separate entities, rather than integrating them for improved accuracy in AI applications. As AI continues to evolve, the lake house architecture will be integral to capturing and utilizing diverse data sources.
02:44 - 03:40

Misconception exists in treating structured and unstructured data as separate; integration is key.

Big Data Analytics Research & Innovations
... 35:41
Donna from Suits is Now My AI Assistant - Here's How I Built Her [n8n No-Code Template]

Andy Lo

1+ months ago 1K views

This video demonstrates the capabilities of an AI personal assistant named Donna, which facilitates various tasks such as confirming bookings, creating timelines, making LinkedIn posts, and providing legal advice. Donna employs advanced AI technologies to automate project management, social media engagement, accounting tasks, and research. The demonstration highlights how AI can enhance productivity across multiple domains, showcasing its effectiveness in managing simple to complex workflows seamlessly. Viewers can learn how the AI assistant interfaces with other applications and its role in optimizing user efficiency while managing routine and specialized tasks.
02:48 - 03:47

AI provides legal advice by analyzing documents for important clauses.

Chatbots Tech & Hardware
... 15:46
Full-Stack AI AGENTS Are Getting Crazy Good!

All About AI

1+ months ago 8K views

Today's focus revolves around building an application that compares LLM API prices from various providers, emphasizing the integration of Superbase for data storage and visualizations. The app aims to facilitate side-by-side model comparisons while utilizing an upgraded AI agent for streamlined development. Initial tasks include creating a landing page and setting up a database for storing model values. The process demonstrates how AI can significantly simplify app development, making it accessible and efficient even for non-technical users.
08:31 - 09:11

Comparison of LLMs showcasing cost-effectiveness and performance metrics.

Databutton Machine Learning AI Trends
... 15:46
Full-Stack AI AGENTS Are Getting Crazy Good!

All About AI

1+ months ago 8K views

Today's focus revolves around building an application that compares LLM API prices from various providers, emphasizing the integration of Superbase for data storage and visualizations. The app aims to facilitate side-by-side model comparisons while utilizing an upgraded AI agent for streamlined development. Initial tasks include creating a landing page and setting up a database for storing model values. The process demonstrates how AI can significantly simplify app development, making it accessible and efficient even for non-technical users.
08:31 - 09:11

Comparison of LLMs showcasing cost-effectiveness and performance metrics.

Databutton Machine Learning AI Trends