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... 46:14
How to Build Realistic AI Voice Agents (50% Cheaper)

Jack Roberts

1+ months ago 2K views

This video provides a step-by-step tutorial on building AI voice agents using Eleven Labs. It highlights the low cost and low latency of these agents, emphasizing their integration into web applications for enhanced user interaction. The tutorial includes a real-life business case demonstrating how the voice agents can efficiently manage appointment bookings and interactions through AI-driven capabilities. Viewers are guided on downloading necessary resources, configuring the AI agent, and connecting it to various tools like calendars and email systems. The video aims to empower viewers to create their own AI web applications efficiently.
03:15 - 03:44

Real-life example showcasing appointment scheduling using AI.

n8n Voice Recognition Education
... 40:48
Class 12 AI: Final ONE SHOT with MCQ Questions | 2025 Boards

Aakash Singh

1+ months ago 5K views

The examination prep focuses on multiple-choice questions (MCQs), revisions of two units, specifically model life cycle and storytelling through data, and additional subjective question discussions through a playlist. The AI model life cycle includes key phases such as scoping, designing, and testing with emphasis on solid planning and collaboration among team members. Important programming languages like Python, R, and Scala are highlighted alongside frameworks such as TensorFlow and Scikit-learn. Emphasis is placed on effective storytelling through data to ensure both technical and non-technical audiences understand complex AI topics.
17:00 - 17:26

TensorFlow is crucial for building and training substantial AI models.

Education
... 6:45
OmniParser V2 + OmniTool AI Agents that control your Computer from Microsoft Open Source

Rithesh Sreenivasan

1+ months ago 2K views

Microsoft has launched Omni Parser V2 and Omni Tool, enabling any LLM to operate as a computer use agent. Omni Tool controls a Windows 11 virtual machine, allowing users to execute commands through a Gradio UI integrated with the Omni Parser. The demo showcases various capabilities, such as automating tasks like online grocery shopping and flight bookings. The Omni Parser V2 shows significant performance improvements and state-of-the-art accuracy in screen interaction benchmarks, with potential applications in diverse contexts, benefiting from its open-source nature.
05:47 - 06:13

Omni Parser V2 surpasses previous models in accuracy benchmarks for UI interactions.

Microsoft Autonomous Systems Tech & Hardware
... 19:23
Gemini 2.0 Pro vs Deepseek R1 vs Openai o3 mini | Who will win? : Arch AGI Bench

YJxAI

1+ months ago 3K views

The video compares the performance of three AI models: O3 Mini High, DC Carbon, and Gemini 2 Pro, using the RKI benchmark. Following the recent launch of Gemini 2 Pro by Google, the testing approach includes modifications for better prompt handling and response verification. In the test, Gemini 2 Pro quickly outperformed the others, particularly on abstract reasoning challenges, despite DC Carbon showing potential with more extended reasoning time. The video concludes with a discussion of how proficiency varies between the models across different tasks, emphasizing the strengths and weaknesses of each.
03:06 - 03:26

DC Carbon demonstrates competitive reasoning but struggles with abstract challenges.

Gemini Machine Learning Research & Innovations
... 19:12
OpenAI o3-mini Vs. DeepSeek R1 For Coding - Let’s SETTLE This

Cole Medin

1+ months ago 45K views

Deep Seek R1 and OpenAI's O3 Mini are compared as reasoning LLMs for coding applications. Both models exhibit unique strengths; R1 is open source and excels in logical reasoning, while O3 Mini performs better on directed tasks. Tests conducted using bolt.DIY show that O3 Mini is faster but R1 offers superior functionality and UI design in produced applications. Despite differences in speed and execution, both models demonstrate significant capabilities, prompting an exploration of potential combined use for enhanced results in coding and AI agent applications.
08:02 - 08:16

R1 demonstrates superior functionality with task management and real-time updates.

OpenAI Natural Language Processing (NLP) AI Trends
... 10:51
We tried 3 Bolt alternatives to find the best AI app builder

No Code MBA

1+ months ago 5K views

This video tests three AI app builders—Lovable, Hey Boss, and Replit Agent—by creating a simple to-do app to evaluate their performance against Bolt. Each tool demonstrates unique features and capabilities, including design flexibility and ease of use. Lovable provides a solid user experience but has some design flaws, while Hey Boss offers impressive functionality and ease of editing. Replit Agent, though functional, experiences some bugs. Overall, the comparison highlights continuous improvements in all tools, emphasizing their potential in AI application development.
04:14 - 04:30

Hey Boss showcases a flexible design and AI-driven editing capabilities.

Bolt Machine Learning Tech & Hardware
... 23:42
openai o3 mini vs openai o1 | Who will win?

YJxAI

1+ months ago 1K views

The introduction of O3 Mini and O3 Mini High models emphasizes their capabilities in reasoning and coding, surpassing earlier versions. While both models are available to users, O3 Mini offers enhanced performance at competitive pricing. Extensive testing reveals significant differences in response time and accuracy between O3 Mini and previous models, particularly in complex reasoning tasks. Despite some limitations with harder questions, O3 Mini demonstrates excellence in coding and reasoning applications, showcasing AI advancements that promise greater efficiency and intelligence in applications requiring deep analysis and logical processing.
10:00 - 11:00

O3 Mini successfully solves complex coding tasks, unlike earlier models.

OpenAI Machine Learning Tech & Hardware
... 23:42
openai o3 mini vs openai o1 | Who will win?

YJxAI

1+ months ago 1K views

The introduction of O3 Mini and O3 Mini High models emphasizes their capabilities in reasoning and coding, surpassing earlier versions. While both models are available to users, O3 Mini offers enhanced performance at competitive pricing. Extensive testing reveals significant differences in response time and accuracy between O3 Mini and previous models, particularly in complex reasoning tasks. Despite some limitations with harder questions, O3 Mini demonstrates excellence in coding and reasoning applications, showcasing AI advancements that promise greater efficiency and intelligence in applications requiring deep analysis and logical processing.
10:00 - 11:00

O3 Mini successfully solves complex coding tasks, unlike earlier models.

OpenAI Machine Learning Tech & Hardware