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... 12:24
Gemini 2.0 AGENTS: Powerful AI Agents BY Gemini Can DO ANYTHING For FREE!

WorldofAI

1+ months ago 3K views

Google's Gemini 2.0 models, tailored for AI automation, feature four variants designed for different tasks: the Pro model excels in coding, Flash model offers speed and power, and Flash Thinking focuses on reasoning and explainability. These models support multimodal capabilities like image generation and text-to-speech, while the Flash model accommodates a 1 million token context window. They can be utilized for free, allowing users to create AI agents and streamline processes using the Vector shift platform, which simplifies AI application building through a drag-and-drop interface. The video showcases building AI agents that automate lead classification through Google Sheets integration.
03:44 - 04:14

Demonstration of automating lead classification with an AI agent powered by Gemini.

Google Machine Learning AI Trends
... 9:59
Google's Deep Research 2.0 Agent IS FREE and IS INSANE! Generate Multi-Page Reports with AI!

WorldofAI

1+ months ago 12K views

Google's recent launch of the Gemini 3 model marks a significant step in AI development, offering a free AI-powered research assistant within the Gemini app. This assistant streamlines information gathering, analysis, and reporting, utilizing the advanced Gemini 2.0 flash thinking model for enhanced reasoning and structured output. Users can generate detailed, multi-page reports with real-time insights, integrating seamlessly with other applications for personalized responses. With new features such as multi-app reasoning and an intuitive interface, Gemini aims to enhance productivity across various tasks, offering insights in over 45 languages, though it's limited to five generations per month in the free version.
08:00 - 08:26

Gemini's flash model provides detailed, context-driven reports on AGI.

Google Machine Learning AI Startups
... 10:17
Google's New AI GEMMA 3 Outsmarts the Biggest Models While Running on a Calculator!

AI Revolution

1+ months ago 17K views

Gemini 3 models have been launched, focusing on lightweight deployment on various hardware, enhancing text and visual reasoning capabilities, and supporting over 140 languages with an impressive context window of 128,000 tokens. Notable features include multimodal inputs, a vision encoder called Sig lip, and a new architecture that reduces memory overhead. The models are optimized for different hardware platforms and offer quantized versions for smaller systems. Developers are encouraged to utilize the models responsibly, and the release includes a specialized image safety tool and a generous academic research incentive.
02:59 - 03:39

New architecture reduces memory overhead for long context processing.

Google Machine Learning Research & Innovations
... 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
... 14:25
Private Obsidian AI: Add DeepSeek to your Obsidian with Ollama (GUIDE + SETUP)

Tony Huang

1+ months ago 1K views

A local and private AI copilot can be established in Obsidian by installing two models: a chat model for general inquiries and a vault QA model for retrieving specific notes. The process involves setting up the Obsidian plugin, verifying API keys, and integrating private models such as Deep Seek AI and AMA for embedding functionalities. Features highlight relevant note suggestions and the ability to interact with AI for personalized knowledge mapping. Finally, detailed steps ensure complete privatization of AI operations, enabling full control of data and enhancing personal knowledge management.
12:06 - 13:26

Private AI models deliver personalized interactions without data exposure.

Obsidian Natural Language Processing (NLP) Tech & Hardware
... 11:12
I Switched 50% of my AI Work to Claude, Here's Why

Aakash Gupta

1+ months ago 2K views

Claude, an AI tool, has become integral for various workloads, outperforming competitors like ChatGPT and Google Gemini. Key features are artifacts for organizing information, native screenshot capabilities, and customizable writing styles. The ability to maintain project-specific context enhances productivity. The video showcases how Claude analyzes context from documents and creates interactive dashboards and infographics, demonstrating its versatility. With recent upgrades, Claude's enhancements suggest promising advancements in AI capabilities, urging users to explore its potential through both free and paid versions.
03:00 - 03:50

Claude’s screenshot function facilitates data visualization and insight generation.

Claude Natural Language Processing (NLP) AI Trends
... 10:35
AI Coding Assistant Showdown: Augment Code vs Cursor AI (Which is Better?)

Internet Made Coder

1+ months ago 3K views

Cursor AI and Augment Code are two prominent coding assistants, each with unique strengths. Cursor AI is a separate code editor that allows integration of various settings from other editors but poses challenges with larger code bases. Augment Code, an extension for existing editors like VS Code, provides a more seamless experience, particularly for large projects. The speaker discusses installation processes, pricing, and user experiences, concluding that while both tools are effective, Augment Code is preferable for larger projects due to better contextual understanding and real-time indexing capabilities.
02:24 - 02:44

Discussion of free vs. paid plans: Cursor's limits vs. Augment's more generous offerings.

Augment Code Machine Learning Tech & Hardware
... 29:44
Obsidian AI Tools: Free vs Paid + My Ultimate Solution

Paul Dickson

1+ months ago 1K views

Unlocking the power of AI in Obsidian involves integrating tools like ChatGPT and Gemini through custom frames and plugins. The process optimizes productivity, allowing seamless interaction with AI tools within the Obsidian environment. Various plugins, like Co-Pilot and Chatbot, enhance usability, while personal setups are showcased to streamline note formatting and improve efficiency. A comparison of free vs. paid AI tools highlights the benefits of using practical solutions while retaining flexibility in workflows. The video encourages viewers to leverage AI's capabilities in their note-taking and knowledge management practices effectively.
08:30 - 09:53

Comparison of free AI tools like ChatGPT, Claude, and Gemini shows versatility.

Machine Learning Education
... 29:44
Obsidian AI Tools: Free vs Paid + My Ultimate Solution

Paul Dickson

1+ months ago 1K views

Unlocking the power of AI in Obsidian involves integrating tools like ChatGPT and Gemini through custom frames and plugins. The process optimizes productivity, allowing seamless interaction with AI tools within the Obsidian environment. Various plugins, like Co-Pilot and Chatbot, enhance usability, while personal setups are showcased to streamline note formatting and improve efficiency. A comparison of free vs. paid AI tools highlights the benefits of using practical solutions while retaining flexibility in workflows. The video encourages viewers to leverage AI's capabilities in their note-taking and knowledge management practices effectively.
08:30 - 09:53

Comparison of free AI tools like ChatGPT, Claude, and Gemini shows versatility.

Machine Learning Education