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... 11:26
Microsoft Drops RD-Agent: Industrial AI Agent - Install Locally

Fahd Mirza

1+ months ago 2K views

Microsoft's newly released R&D agent is an open-source platform designed to enhance industrial productivity through AI-driven automation in R&D processes. It focuses on automating high-value research and development tasks particularly in data-driven fields like finance and medical sectors. The platform streamlines critical R&D processes and efficiently leverages AI for model and data development. The installation process of the R&D agent requires setting up an environment with API keys from OpenAI, allowing users to run demos showcasing its capabilities in generating financial trading strategies and conducting quantitative analysis.
04:10 - 05:05

The finance data agent illustrates hypothesis generation and decision-making processes.

Microsoft Machine Learning Manufacturing
... 8:4
$AITX, the Hot AI Stock | CEO Steve Reinharz Showcases ROAMEO & RADDOG LE2!

AITX

1+ months ago 1K views

Steve Reinharz, CEO and CTO of Artificial Intelligence Technology Solutions, introduces innovative products like RADDOG LE2 and ROAMEO, highlighting features such as advanced mobility, obstacle avoidance, and human interaction capabilities. These products are designed to enhance safety and operational efficiency in various environments. Reinharz emphasizes the significant interest from Fortune 500 companies, underscoring the potential impact of their technologies in the market. The upcoming ISC West event is noted as a platform for further showcasing these advancements, with high expectations for customer engagement and demand.
02:48 - 03:14

ROAMEO Gen 4 incorporates advanced sensors and mobility features.

Artificial Intelligence Technology Solutions Robotics AI Startups
... 14:8
How To Make RAG AI Agents Perform Like A PRO! (n8n & Vectorize Tutorial)

AI Workshop

1+ months ago 4K views

Building a RAG AI agent requires selecting the correct embedding model and chunking strategy for document uploads to a vector database. The process can significantly impact accuracy, making it critical to evaluate options carefully. The video introduces Vectorize.io, a free platform that helps determine the optimal embedding model and chunking size for specific documents. By uploading documents and following the guide, users can streamline their RAG evaluations and enhance the performance of their AI agents, making this tool essential for future AI developments.
10:09 - 10:46

The evaluation showed OpenAI V3 large as the best option for embedding.

n8n AI cloud services Education
... 47:59
Vercel’s Big AI Bet. ft. Malte Ubl | S02 E09

Backend Banter

1+ months ago 1K views

VZ is an innovative tool that simplifies front-end development by integrating AI to generate applications based on user prompts. It enables developers and designers to create complete applications, including backend integration, through intuitive prompts, significantly reducing the barriers to entry for those less experienced in front-end technologies. The discussion touches on the challenges and opportunities presented by AI in software development and emphasizes the importance of leveraging AI technologies to enhance productivity and creativity in engineering roles.
04:16 - 04:25

AI assists in recognizing and resolving coding issues quickly.

Vercel Machine Learning Tech & Hardware
... 12:42
Microsoft PIKE-RAG - Specialized Knowledge Meets AI Reasoning - Install and Test

Fahd Mirza

1+ months ago 1K views

Pike Rag offers a unique approach to retrieval-augmented generation (RAG) for specialized knowledge, addressing complexities within domains like healthcare or manufacturing. It improves accuracy and reliability by integrating structured logical reasoning with specialized domain knowledge directly into its generation pipeline. Despite its promising capability and potential for shaping AI projects, commitment from Microsoft seems lacking. Practical applications highlight its effectiveness, yet customization challenges remain a significant barrier for users looking to adapt it to their needs, suggesting an opportunity for innovation in the field.
03:23 - 03:34

Pike Rag efficiently breaks down complex problems with improved accuracy in reasoning.

Microsoft Machine Learning Research & Innovations
... 21:4
Vibe Coding in 2025: No Typing, No Stress, Just AI!

Protocoding

1+ months ago 2K views

Vibe coding is a unique approach where developers rely heavily on large language models (LLMs) to automate coding tasks, enhancing productivity through voice commands and chat interactions. The session features Raymond, who demonstrates Vibe coding by building a landing page for a cloud infrastructure company, emphasizing the ease of use and minimal coding skills required. Throughout the process, challenges with dependencies and script errors arise, showcasing the real-world implications of relying on AI for development. The discussion highlights both the benefits and limitations of using AI in coding practices, culminating in a functional project created collaboratively with an AI assistant.
01:51 - 02:01

Initial setup with Next.js illustrates the project structure in Vibe coding.

Machine Learning Tech & Hardware
... 7:50
QwQ-32B vs. DeepSeek-R1: The AI Revolution No One Saw Coming! 🤯🚀

Prompt Engineer

1+ months ago 1K views

Reinforcement learning (RL) is revolutionizing AI with a notable example being the QwQ model, which has 32 billion parameters yet outperforms much larger models like DeepSpeed R1. This breakthrough illustrates how RL enables models to learn from outcomes, improving capabilities in mathematical reasoning, coding proficiency, and general intelligence. The QwQ 32B model employs a unique multi-stage RL training approach and demonstrates superior performance across various benchmarks, affirming that advanced learning methodologies can challenge the norm of relying solely on parameter size. The model is accessible for testing on platforms like Hugging Face and Model Scope.
03:09 - 03:16

QwQ model matches performance of 671B parameter models on key benchmarks.

Deep Learning Research & Innovations
... 32:40
The ULTIMATE n8n RAG AI Agent Template - Local AI Edition

Cole Medin

1+ months ago 14K views

Retrieval augmented generation (RAG) empowers AI agents to effectively access knowledge bases, enhancing their expertise in document-based Q&A. However, traditional RAG often lacks dynamic reasoning capabilities. The video introduces an enhanced approach called agentic RAG, which improves flexibility and power in document handling. A local version of the n8n agentic RAG template is provided, enabling users to build offline AI systems, control data, and use various tools for accessing and querying knowledge bases. The video demonstrates the setup process and showcases the advantages of local AI implementation for efficient and secure operations.
06:00 - 08:00

Testing scenarios include retrieving basic information and handling complex queries.

Natural Language Processing (NLP) Tech & Hardware
... 32:40
The ULTIMATE n8n RAG AI Agent Template - Local AI Edition

Cole Medin

1+ months ago 14K views

Retrieval augmented generation (RAG) empowers AI agents to effectively access knowledge bases, enhancing their expertise in document-based Q&A. However, traditional RAG often lacks dynamic reasoning capabilities. The video introduces an enhanced approach called agentic RAG, which improves flexibility and power in document handling. A local version of the n8n agentic RAG template is provided, enabling users to build offline AI systems, control data, and use various tools for accessing and querying knowledge bases. The video demonstrates the setup process and showcases the advantages of local AI implementation for efficient and secure operations.
06:00 - 08:00

Testing scenarios include retrieving basic information and handling complex queries.

Natural Language Processing (NLP) Tech & Hardware