Close

Explore AI

Explore GPTs

Explore AI News

Explore AI Videos

Explore AI for Jobs

Latest Sahara AI AI Videos

Find the latest for Sahara AI company videos

Follow
... 16:59
Manus: China’s NEW AI Agent is Out of Control 🤯

Julian Goldie SEO

1+ months ago 3K views

Manis AI is revolutionizing the way interactive visualizations and autonomous applications are created. Demonstrating its capabilities, users can generate complex simulations, such as a visual representation of the moon's current state, in a single prompt. The AI excels in coding and deployment, exemplified by the swift creation of e-commerce websites and games, reducing the traditional time invested in software development significantly. Despite being in invitation-only mode with a substantial waiting list, its potential applications in various fields highlight how it enhances productivity and creativity, signaling a fundamental shift in technology usage and job dynamics.
05:54 - 07:20

Creation of a retro-style video game showcasing the autonomous development of gaming applications.

Machine Learning AI Trends
... 9:21
Manus AI = Claude Artifacts + OpenAI Deep Research + Cursor Agents

DesignCode

1+ months ago 2K views

Manis AI offers a powerful platform that integrates cloud AI, deep research, and browsing capabilities to generate project ideas and plans from simple prompts. The platform effectively creates detailed outputs, such as travel itineraries complete with maps and essential information, addressing challenges like hallucination commonly seen in AI. By leveraging real-time internet browsing, it can provide accurate, current insights, making it a significant advancement in AI technology. The future potential for users who are not skilled coders to construct applications through simple prompts showcases its user-friendly design and relevance in various innovative projects.
08:16 - 08:31

Highlights the impressive capabilities of Manis AI over traditional tools.

Claude Artifacts Machine Learning AI Startups
... 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
... 10:32
I Tested Manus AI... It DESTROYS OpenAI & Claude (Hands-on Review)

Bilawal Sidhu

1+ months ago 1K views

Manis AI represents a significant advancement in autonomous AI agents, enabling users to interact with computer tasks more seamlessly. By combining deep research with practical planning and orchestration capabilities, it streamlines workflows, particularly in coding, research, and location scouting. Users can input complex tasks, like coding a game or sourcing locations, while the AI automates the process, iteratively completing tasks and providing tailored recommendations. While still in early access, its potential applications across various fields indicate a promising future for AI tools enhancing productivity and creativity.
04:00 - 04:19

The system integrates various AI models for enhanced coding and planning capabilities.

Manus AI Machine Learning AI Startups
... 11:48
Top Trending Hugging Face AI Projects: Panorama Images, Voice Cloning & More!

ManuAGI - AutoGPT Tutorials

1+ months ago 2K views

Top AI projects showcased include Panorama Image SDXL for panoramic image generation, Omni Parser V2 for multimodal document parsing, Zos for high-fidelity voice cloning, a travel planning agent for personalized itineraries, and Photo Doodle for intuitive image editing. Each project leverages AI's strengths, efficiently addressing specific user needs, enhancing creativity, and streamlining processes while ensuring accessibility and scalability. Utilizing zero infrastructure, these tools demonstrate significant advancements in AI applications across various domains, providing users with innovative solutions that simplify complex tasks and enhance productivity.
03:57 - 04:20

Zos enables high-fidelity voice cloning from short audio samples with expressive capabilities.

Hugging Face Image Generation AI Trends
... 1:3:29
Build your code-first app with Azure AI Agent Service

Microsoft Reactor

1+ months ago 1K views

AI agents enhance productivity through automation and semi-autonomy, allowing users to focus on high-value tasks. The progression from large language models to agents provides opportunities for goal-oriented actions, memory management, and multi-agent systems. The Azure AI agent service simplifies development through state management and tool integration, while also addressing security concerns. Demonstrated use cases include generating sales reports from data analysis, showcasing the roles of specific agents, and utilizing tools for data retrieval and visualization. With structured features, Azure’s service allows for scalable and effective AI solutions in various business scenarios.
08:31 - 09:26

Demonstration of a sales agent utilizing SQL queries and visualization tools.

Azure AI cloud services Tech & Hardware
... 10:53
S* for AI CODE Generation: Plus 100%

Discover AI

1+ months ago 3K views

SAR methodology aims to enhance local AI coding performance by doubling normal output without cloud dependency. By transitioning from a 3 billion to a 14 billion parameter model, substantial improvements are seen in local code efficiency. The method incorporates test time scaling and iterative debugging, enabling parallel sampling and refining generated code effectively. Utilizing modern architecture models, the approach shows promising results, outperforming larger proprietary models while promoting independence from cloud resources. This advancement aims to improve accessibility and performance for individual developers and smaller teams, fostering a competitive environment in AI code generation.
06:27 - 07:35

The success of SAR in enhancing performance metrics across various models discussed.

Machine Learning Research & Innovations
... 10:53
S* for AI CODE Generation: Plus 100%

Discover AI

1+ months ago 3K views

SAR methodology aims to enhance local AI coding performance by doubling normal output without cloud dependency. By transitioning from a 3 billion to a 14 billion parameter model, substantial improvements are seen in local code efficiency. The method incorporates test time scaling and iterative debugging, enabling parallel sampling and refining generated code effectively. Utilizing modern architecture models, the approach shows promising results, outperforming larger proprietary models while promoting independence from cloud resources. This advancement aims to improve accessibility and performance for individual developers and smaller teams, fostering a competitive environment in AI code generation.
06:27 - 07:35

The success of SAR in enhancing performance metrics across various models discussed.

Machine Learning Research & Innovations