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... 1:9:33
Python + AI: Retrieval Augmented Generation

Microsoft Reactor

1+ months ago 2K views

The session focuses on Retrieval-Augmented Generation (RAG) in AI, emphasizing its importance in overcoming limitations of large language models (LLMs). Key insights include the ability of RAG to integrate domain knowledge via retrieval methods, which offers an efficient solution compared to traditional fine-tuning approaches. Examples were given on how to implement simple and advanced RAG techniques using Python, alongside practical demonstrations of working with databases and various AI tools such as Azure. The discussion highlights the necessity of creating an effective search index for accurate information retrieval in AI applications.
01:47 - 01:50

Advanced RAG methods discussed for enhanced AI responses.

Natural Language Processing (NLP) Education
... 12:30
Create Powerful AI Agents with OpenAI's Web Search, File Search & Computer Control

Atef Ataya

1+ months ago 1K views

AI coding assistance is transforming development by integrating tools that analyze code, perform web searches, and read project documentation. OpenAI's latest tools facilitate the creation of a multi-agent system capable of executing complex workflows, including code review and documentation generation. These advancements allow developers to automate routine tasks, enhancing efficiency and accuracy. The video emphasizes the significant potential of the new Response API, file search capabilities, and computer use functionalities, making coding support more powerful and accessible than ever before.
03:59 - 04:27

AI can analyze and understand project documentation dynamically.

OpenAI Machine Learning Education
... 16:19
AgenticSeek - Manus-like AI with Deepseek R1 Agents - Install Locally with Ollama

Fahd Mirza

1+ months ago 2K views

The installation of the Agentic Seek tool locally demonstrates its functionality as an autonomous agent inspired by the Menace project. This software performs web searching, coding, and file manipulation without any API reliance, maintaining privacy and allowing local execution. Utilizing large language models, specifically the 70 billion parameter Deep C Car 1 model, enhances the performance of autonomous tasks. The video emphasizes optimizing Agentic Seek's configuration for effective operations and showcases interactions with the system that exemplify its capabilities in coding and web browsing.
02:01 - 02:11

Discussion on using the 70 billion Deep C Car 1 model for the task.

AgenticSeek Voice Recognition Tech & Hardware
... 27:1
Agentic AI Tutorial One shot Using Agno(Phidata)

Krish Naik

1+ months ago 4K views

Using the Agno platform, AI agents can be created and managed efficiently, allowing for complex workflows and end-to-end projects. This video demonstrates how to utilize Agno for multi-agent systems, emphasizing performance and ease of use compared to other tools like Langra. Key features include model-agnostic capabilities and faster agent creation, enhancing the usability of AI in applications. The speaker also highlights the upcoming data science and generative AI courses available for learners, which will cover foundational knowledge for effective AI application development.
02:17 - 02:27

Integration of various models and tools such as OpenAI and DugDugGo.

Phidata Machine Learning Education
... 53:48
Obsidian RAG: Private AI or Cloud Power (Complete Setup Guide)

Paul Dickson

1+ months ago 1K views

Retrieval augmented generation (RAG) transforms Obsidian into a personal AI assistant by integrating local AI models and plugins like LM Studio and Olama. The process begins with showcasing practical setups for private and cloud-based models using AI tools that enhance knowledge management and interaction with notes. Key applications include utilizing AI to extract accurate responses and augment the notes with contextual information, while also addressing data privacy concerns associated with external APIs.
41:26 - 41:42

Comparative cost analysis of AI models highlights effective options for budget-friendly implementations.

AI cloud services 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
... 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