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... 11:1
AI Engineer - Super AI Agent In God Mode!

Kingy AI

1+ months ago 13K views

AI engineer functionality in Chat LLM Teams allows users to create custom AI agents quickly. By leveraging state-of-the-art large language models, users can design AI assistants that specialize in specific domains such as skincare or quantum computing, ensuring robust responses while limiting out-of-scope information. The tool ensures transparency in the agent’s planning and execution process, providing step-by-step insight into the actions being taken. Users can upload their own data for tailored responses, enhancing AI relevance and accuracy while reducing common mistakes like hallucinations.
02:11 - 03:05

Creating a skincare-focused AI agent named Dermabot with defined restrictions.

Abacus.AI Natural Language Processing (NLP) AI Trends
... 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
... 12:54
Introducing Azure AI Foundry - Everything you need for AI development

Microsoft Mechanics

1+ months ago 4K views

Azure AI Foundry provides a comprehensive platform for creating agentic solutions, facilitating the entire AI development lifecycle from concept to production. It features a model catalog with thousands of AI models, including offerings from prominent companies like OpenAI and Microsoft, while allowing customization and integration with existing systems. Users can create AI agents equipped with specific tasks and knowledge sources, such as Bing, and utilize Semantic Kernel for orchestration. Built-in monitoring and security features ensure optimized performance and compliance throughout AI application management.
01:59 - 02:11

Details on model deployment options, including serverless APIs and custom models.

Azure AI cloud services Tech & Hardware
... 20:51
How I Built a Web Scraping AI Agent - Use AI To Scrape ANYTHING

Tech With Tim

1+ months ago 9K views

Insane applications can be built using LLMs, but the quality relies heavily on data. A demo showcases a functional AI travel agent created in Python, leveraging real-time and historical data to provide relevant responses. This application integrates flight and hotel information, enhancing user experience with personalized recommendations based on user inputs. The architecture details how LLMs parse data, utilize APIs, and automate browser interactions, demonstrating the necessity of robust data for effective AI applications. The video highlights a collaboration with Bright Data, underlining the importance of context in AI outputs.
01:47 - 02:55

The application automates flight searches and aggregates data efficiently.

BrightData Machine Learning Tech & Hardware
... 17:5
Creating no-code AI AGENTS that run locally on your laptop | AnythingLLM

Tim Carambat

1+ months ago 13K views

The focus is on the new features of Anything LLM, particularly the no-code AI Agent Builder, which allows users without programming skills to create AI agents. This tool provides an all-in-one AI application for various tasks, simplifying the process of building and deploying AI models. The speaker also discusses how this tool enables users to connect with various APIs and automate actions seamlessly, which opens up possibilities for productivity and creativity in both personal and organizational settings. Essential features include web scraping and API integration, empowering users to leverage AI effectively.
04:05 - 04:12

Demonstrating the powerful capabilities of the Agent Flow Builder.

Machine Learning AI Startups
... 8:49
Deepseek's FlashMLA: The AI Game-Changer You NEED to Know!

RoundTable AI: Every day AI news and insights

1+ months ago 1K views

Flash MLA technology revolutionizes AI capabilities through optimization and efficient data processing, significantly reducing the time needed for complex tasks such as medical data analysis from days to minutes. Utilizing advanced hardware, such as Nvidia's Hopper GPUs and innovative methods like bf16 brain float 16 and paged KV cache, this technology enhances AI's ability to execute various tasks. Furthermore, deep seek’s decision to open-source Flash MLA fosters a global collaborative community, pushing AI advancements while addressing ethical considerations and ensuring that powerful technologies are available for widespread benefit. The future applications of this technology span diverse sectors, enhancing overall productivity and creative processes.
01:25 - 01:53

Key technologies like bf16 and paged KV cache streamline AI processing capabilities.

Deepseek Machine Learning AI Startups
... 56:9
Move Aside DeepSeek, Here’s Liquid AI, a $2B LLM Startup from MIT, Inspired by Worms | Agentic EP 10

George Bandarian

1+ months ago 3K views

Liquid AI specializes in developing liquid neural networks for safety-critical applications, expanding beyond robotics to finance and healthcare. The technology allows AI systems to run efficiently on edge devices without needing constant internet connectivity, opening new markets. Founders Ramin Hassani, Alexander Amini, and Daniela Rus emphasized the importance of technical expertise and a strong business understanding for success in AI. Their approach addresses existing limitations in AI systems, emphasizing efficiency, privacy, and real-world applications, aiming to bring advanced AI capabilities directly into users' hands.
06:30 - 07:23

Founders share insights on forming an effective AI partnership.

Liquid AI Natural Language Processing (NLP) AI Startups
... 56:9
Move Aside DeepSeek, Here’s Liquid AI, a $2B LLM Startup from MIT, Inspired by Worms | Agentic EP 10

George Bandarian

1+ months ago 3K views

Liquid AI specializes in developing liquid neural networks for safety-critical applications, expanding beyond robotics to finance and healthcare. The technology allows AI systems to run efficiently on edge devices without needing constant internet connectivity, opening new markets. Founders Ramin Hassani, Alexander Amini, and Daniela Rus emphasized the importance of technical expertise and a strong business understanding for success in AI. Their approach addresses existing limitations in AI systems, emphasizing efficiency, privacy, and real-world applications, aiming to bring advanced AI capabilities directly into users' hands.
06:30 - 07:23

Founders share insights on forming an effective AI partnership.

Liquid AI Natural Language Processing (NLP) AI Startups