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Latest Minimax Hailuo AI Videos

Find the latest for Minimax Hailuo company videos

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... 7:36
Top 3 NEW Chinese AI Video Generators: FREE and Open-Source Ai video Generator

SoloPreneur Warrior

1+ months ago 2K views

A groundbreaking AI video generator from China is making waves by allowing users to create short videos from text prompts for free. This open-source tool, Minimax, rivals popular options like OpenAI's Sora, enabling users to generate clips up to six seconds long without costs. The video compares Minimax to other tools like Cing and Step Video T2V, highlighting their unique features and performance variability. All tools are free to use, fostering exploration and creativity in AI-generated video production. The segment concludes with insights on the limitations and expectations for future improvements in AI video technologies.
04:20 - 04:42

Step video T2V offers open-source access for more advanced users.

Image Generation Digital Media
... 8:26
Cline + QWQ 32B : Free AI Coding Agent! Develop a Full Stack Apps! | CURSOR Alternative

Codedigipt

1+ months ago 2K views

A new AI coding model, QWQ 32 billion, outperforms popular models like OpenAI's 1 mini and DP R1. It has been highlighted for its impressive performance in reasoning tasks and problem solving. The QWQ 32 billion model can be accessed via their website or through local installation and API integration. The speaker demonstrates its capabilities by creating a weather animation website and emphasizes the importance of proper prompt structuring for optimal results. Audience interaction is encouraged, and the speaker also promotes other AI-related content available on their channel.
01:40 - 01:50

QWQ 32 billion achieves comparable performance to models with significantly more parameters.

Cline Machine Learning Tech & Hardware
... 12:31
QwQ: Tiny Thinking Model That Tops DeepSeek R1 (Open Source)

Matthew Berman

1+ months ago 55K views

A new AI model named QWQ 32B by Alibaba offers comparable performance to larger models like Deep Seek R1 but is substantially smaller, allowing it to run efficiently on personal computers. This model uses reinforcement learning techniques to enhance critical thinking and has been trained to execute math and coding tasks successfully. Open-source and efficient with fast inference speeds of 450 tokens per second, it surpasses several benchmarks in AI performance despite a smaller parameter count. The integration of reinforcement learning with advanced foundation models aims to push AI closer to achieving artificial general intelligence.
01:35 - 01:42

Performance is achieved through outcome-based rewards in reinforcement learning.

Machine Learning Research & Innovations
... 20:36
Qwen QwQ 32b Local AI on Ollama BETTER than Deepseek R1 671b?!

Digital Spaceport

1+ months ago 18K views

Quinn just launched the qwq 32b reasoning model, reportedly comparable to the deep seek 671 R1. Initial testing shows impressive performance for normal inquiries, utilizing a quad GPU rig setup that was detailed in prior videos. The model's efficiency in processing prompts and generating responses is notable, presenting strong capabilities for advanced applications. Following rigorous one-shot testing with varied questions, early indications suggest qwq excels in both performance metrics and output quality, marking it as a promising tool for AI applications.
03:41 - 04:36

Analysis of ethical considerations in AI deployment with a challenging hypothetical scenario.

Ollama Machine Learning Tech & Hardware
... 4:21
Phi-4 Mini & Multimodal: Microsoft just CRUSHED GPT-4O & Gemini 2.0 Flash!

AISeeKing

1+ months ago 4K views

Microsoft has launched the new 54 mini, a compact multimodal model featuring 3.8 billion parameters and a 128k token context length. Enhanced with supervised fine-tuning and direct preference optimization, it outperforms models like llama 3.23 B and instruct mistol 3B in benchmarks. The 54 multimodal model supports text, image, and audio inputs, offering strong speech recognition capabilities. Both models can be run locally and accessed via platforms like Hugging Face and Nvidia playground. Overall, these advancements underscore a notable shift towards more capable and efficient local AI applications.
02:12 - 02:26

Multimodal model excels in OCR benchmarks against Gemini 2.0 Flash.

Microsoft Natural Language Processing (NLP) AI Trends
... 23:22
How to Choose the Best LLM (Grok 3) for Your AI Agent

Discover AI

1+ months ago 2K views

Optimization in multi-agent systems enhances performance by selecting the most suitable Large Language Model (LLM) for specific subtasks, even if individual models provide incorrect answers. Coordinating multiple LLMs can yield better outcomes by combining their strengths in solving tasks like arithmetic. A model selector framework has been introduced, which can significantly improve task performance, leveraging different strengths and weaknesses of LLMs based on task requirements and effectiveness, demonstrating that effective model selection leads to notable efficiency gains and more accurate results.
04:26 - 04:31

GRO-3 struggles with simple arithmetic, illustrating limitations in certain tasks.

Berkeley Natural Language Processing (NLP) Education
... 24:57
Scrabble GM vs. AI -- the Rematch! Game #77

Mack Meller

1+ months ago 1K views

Struggling with five consecutive losses against an AI-powered Scrabble bot, the speaker aims to turn the tide. Starting with a challenging hand of tiles, strategic plays are calculated to maximize points while minimizing risks of opening up the board for the opponent. Key decisions revolve around utilizing bingos and managing the tile distribution. Accumulating a significant lead throughout the game allows for defensive plays that restrict the AI's options, leading to an eventual victory by a large margin, despite some minor mistakes and a lighter atmosphere as challenges increase towards the end.
10:00 - 10:20

Discussion of defensive strategies to limit AI's potential score.

Machine Learning Gaming
... 11:31
CodeLLM - The New Agentic AI Code Editor With Access To Top Models

Developers Digest

1+ months ago 5K views

This video demonstrates the capabilities of Code LLM, an AI code editor that allows access to various AI models, including Sonet 3.5 and O1. It showcases features like autocomplete, solutions to coding problems, and generating game code based on user prompts. Users can switch between models for different tasks, with the platform's model router intelligently selecting the most appropriate one. Code LLM stands out for its accessibility to cutting-edge models and the ability to use natural language to describe desired coding outcomes, greatly enhancing the coding experience.
03:30 - 04:50

Highlights model switching and enhanced game code generation with powerful models.

Claude Natural Language Processing (NLP) Tech & Hardware
... 11:31
CodeLLM - The New Agentic AI Code Editor With Access To Top Models

Developers Digest

1+ months ago 5K views

This video demonstrates the capabilities of Code LLM, an AI code editor that allows access to various AI models, including Sonet 3.5 and O1. It showcases features like autocomplete, solutions to coding problems, and generating game code based on user prompts. Users can switch between models for different tasks, with the platform's model router intelligently selecting the most appropriate one. Code LLM stands out for its accessibility to cutting-edge models and the ability to use natural language to describe desired coding outcomes, greatly enhancing the coding experience.
03:30 - 04:50

Highlights model switching and enhanced game code generation with powerful models.

Claude Natural Language Processing (NLP) Tech & Hardware