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... 11:1
AI Engineer - Super AI Agent In God Mode!

Kingy AI

1+ months ago 13K views

AI engineer functionality in Chat LLM Teams allows users to create custom AI agents quickly. By leveraging state-of-the-art large language models, users can design AI assistants that specialize in specific domains such as skincare or quantum computing, ensuring robust responses while limiting out-of-scope information. The tool ensures transparency in the agent’s planning and execution process, providing step-by-step insight into the actions being taken. Users can upload their own data for tailored responses, enhancing AI relevance and accuracy while reducing common mistakes like hallucinations.
02:11 - 03:05

Creating a skincare-focused AI agent named Dermabot with defined restrictions.

Abacus.AI Natural Language Processing (NLP) AI Trends
... 16:15
The AI Tool I've Always Wanted is Already Here (and Free)

Futurepedia

1+ months ago 12K views

Advanced AI tools have emerged, functioning as personalized assistants and tutors, offering real-time feedback and guidance. The Google AI Studios lets users interact with AI through their devices, identifying contexts such as plant care and providing step-by-step instructions. Users can build custom web applications without coding using tools like Hostinger Horizons, showcasing the transformative potential of AI in personal productivity. However, challenges remain, with the AI sometimes providing incorrect guidance, emphasizing the need for a careful approach and understanding of AI limits. The evolution of these tools suggests significant upcoming changes in various domains.
05:10 - 06:00

User can leverage AI for learning complex software like Blender.

Hostinger Machine Learning Tech & Hardware
... 6:18
AI Engineer in God Mode: Automate Everything with Abacus AI

Shark Numbers

1+ months ago 41K views

AI Engineer from Abacus enables users to create autonomous AI agents for managing tasks like stock tracking without coding. The tool automates processes, such as sending daily updates via email, making life easier for busy individuals. Users can utilize templates and modify scripts effortlessly with Code LLM, enhancing customization. Overall, this AI tool significantly streamlines workflows, making it an invaluable asset for those juggling multiple responsibilities while ensuring real-time updates and efficiency.
03:26 - 03:38

Code LLM helps modify scripts without requiring extensive coding knowledge.

Abacus AI Chatbots AI Startups
... 32:26
AI Coding DEVLOG: Claude Code has CHANGED Software Engineering

IndyDevDan

1+ months ago 19K views

CLI coding tools are evolving with advances in AI, enabling engineers to build applications faster and more efficiently. This video introduces CLA code and the Model Context Protocol (mCP) alongside tools like repo mix and pocket pick. By establishing a thorough planning phase, engineers can ensure their AI tools effectively utilize existing patterns and information. The speaker emphasizes the importance of structured documentation, collaboration, and thoughtful prompt design to allow AI systems to generate relevant outputs. Ultimately, better engineering practices lead to a substantial increase in productivity and impact.
01:16 - 01:25

Project structure is critical for enhancing AI coding efficiency.

Machine Learning Tech & Hardware
... 16:52
Write Your Unit Tests with Cursor AI

MFK in Tech

1+ months ago 1K views

Cursor AI enhances software development by providing advanced code assistance through features like natural language prompts, code refactoring, and unit testing. It incorporates a Model Context Protocol (MCP) to connect with various tools like GitHub and JIRA, facilitating seamless project integration. The AI editor understands the project's codebase, generates documentation, and manages coding standards through custom rules. The video showcases practical applications, such as creating unit tests in Go, emphasizing ease of use and efficiency gains for developers.
03:51 - 03:54

Model Context Protocol (MCP) integrates with tools like GitHub and JIRA.

Cursor Machine Learning Education
... 26:29
Google AI Studio in 26 Minutes

Tina Huang

1+ months ago 15K views

Google AI Studio is a powerful tool for building applications and enhancing productivity through AI. The interface may seem overwhelming at first, but it unlocks numerous possibilities once users become familiar with its features. The video covers effective prompt engineering techniques, emphasizing the importance of system prompts for guiding AI behavior. Key features include real-time interaction, model comparison, and streamlining code execution. The speaker presents a framework for constructing high-quality prompts, enabling better results in AI-generated outputs. The session concludes with insights on the role of tutorials and detailed interactions with AI.
09:50 - 10:02

Discussion on the high context window for video analysis in AI.

Google Machine Learning Education
... 29:55
Major AI News : Amazons New AI, More Humanoids, Chinas New Model, Deepseek R2, Grok 3 And More..

TheAIGRID

1+ months ago 15K views

Recent advancements in AI include Chain of Draft, which allows AI models to produce concise outlines instead of lengthy explanations, making responses quicker and cheaper. Additionally, diffusion models offer improved generative capabilities that enhance efficiency in text generation. Hume AI launched Octave, an LLM for text-to-speech that incorporates emotional context and voice design. Apple is investing $500 billion in AI development, hoping to hire thousands and open a factory in Texas. Meanwhile, the AI industry faces challenges, including issues of misinformation and AI safety, as demonstrated by Elon Musk's Grok 3 AI, prompting discussions on bias in AI systems.
03:00 - 03:35

Hume AI's Octave revolutionizes text-to-speech with emotional delivery and custom voices.

Amazon Machine Learning AI Trends
... 29:55
Major AI News : Amazons New AI, More Humanoids, Chinas New Model, Deepseek R2, Grok 3 And More..

TheAIGRID

1+ months ago 15K views

Recent advancements in AI include Chain of Draft, which allows AI models to produce concise outlines instead of lengthy explanations, making responses quicker and cheaper. Additionally, diffusion models offer improved generative capabilities that enhance efficiency in text generation. Hume AI launched Octave, an LLM for text-to-speech that incorporates emotional context and voice design. Apple is investing $500 billion in AI development, hoping to hire thousands and open a factory in Texas. Meanwhile, the AI industry faces challenges, including issues of misinformation and AI safety, as demonstrated by Elon Musk's Grok 3 AI, prompting discussions on bias in AI systems.
03:00 - 03:35

Hume AI's Octave revolutionizes text-to-speech with emotional delivery and custom voices.

Amazon Machine Learning AI Trends