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... 12:22
Mistral Small 3.1: New Powerful MINI Opensource LLM Beats Gemma 3, Claude, & GPT-4o!

WorldofAI

1+ months ago 11K views

A new AI model, Mistol Small 3.1, is introduced as a lightweight alternative to existing models like Gemma 3, boasting 24 billion parameters. It outperforms GPT-4 Omni mini in various tasks, supports 21+ languages, and utilizes a 128k context window. Testing its capabilities through various prompts, the model demonstrated impressive results in programming, visual understanding, and logical reasoning, with a few limitations in generating SVG graphics. This model stands out due to its open-source nature and ease of local deployment, making it ideal for high-quality AI applications.
02:22 - 02:27

The model excels in reasoning and problem-solving compared to other models.

Mistral Natural Language Processing (NLP) Tech & Hardware
... 8:19
NEW Crypto AI Profit Making Ecosystem by Voltix AI! šŸ’° This can beat Bitcoin Returns this Year?

Jim Crypto

1+ months ago 2K views

VTEK is an innovative platform enabling users to monetize idle CPU power by training artificial intelligence. With the cryptocurrency market experiencing declines, VTEK offers users the opportunity to earn passive income through a unique system that turns unused CPU resources into rewards. The platform features two main components: becoming a CPU provider through a Chrome extension and accumulating Checker notes for passive income. With over 500,000 users, VTEK aims to streamline AI training while providing financial incentives to its participants, making it a promising venture amidst the current crypto market challenges.
03:20 - 03:30

VTEK allows users to convert unused CPU power into financial resources.

Voltix AI Blockchain Finance
... 8:17
Voltix - Turning Idle CPUs into Power for AI & DePIN Solutionsāš”

Goalorious

1+ months ago 5K views

The explosive rise of AI necessitates substantial computing resources typically held by centralized providers, which limits accessibility. Voltic addresses this by establishing a decentralized AI computing network that enables individuals and businesses to utilize their idle CPU power for income. This democratized access ensures fair compensation and efficient resource allocation, challenging the dominance of major cloud providers. Node key holders can validate tasks and earn rewards through revenue-sharing, making them essential contributors to network security and effectiveness, while also opening up opportunities for enterprise partnerships and exclusive incentives within the Voltic ecosystem.
01:09 - 01:19

Node key holders can earn rewards through diverse revenue streams including AI partnerships.

Voltix AI cloud services Tech & Hardware
... 10:22
HOW TO EARN PASSIVE INCOME WITH AI AGENTSšŸ”„ $STRIKE

On The Go Crypto

1+ months ago 4K views

The potential of AI agents is profound, especially in a bear market where over $32 billion in market cap has shifted toward this sector. Strike Bit emerges as a significant player in the AI protocol space, offering unique features like passive income generators and predictive market agents. The project allows users to launch AI agent tokens, providing fractional ownership. Its tokenomics and integration with different blockchain ecosystems indicate a progressive approach. This positioning could capitalize on the gaps left by competitors like Virtue, making Strike Bit a promising opportunity in the evolving landscape of AI technology.
01:40 - 01:46

Multiple niches for AI agents enhance their value and market appeal.

STRIKEBIT Blockchain Finance
... 13:12
Bolt DIY + Claude 3.7: FREE AI Coder Beats Cursor & Bolt.New?

Julian Goldie SEO

1+ months ago 4K views

Using Bolt DIY, a free coding tool, enables users to create apps, websites, and games without limitations. This platform facilitates easy installation via GitHub, allowing for local project management without subscription fees. Multiple AI APIs, including Claude 3.7, offer various capabilities, enhancing project outcomes. Users can utilize different modes for coding efficiency, including free alternatives for experimenting with AI models. The setup entails obtaining an API key and deploying projects through platforms like Netlify to host applications effectively, ensuring robust functionalities in tools developed.
03:01 - 03:03

Demonstration of integrating API keys for enhanced coding outputs.

Bolt Text generation AI Startups
... 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
... 8:29
UIGEN T1.1 - Web UI Generation with AI - Install Locally

Fahd Mirza

1+ months ago 2K views

UI Gen T11 is a 14 billion parameter transformer model fine-tuned on the Coin 2.5 Codex designed to generate HTML and CSS user interface components. While it is effective for creating basic applications like landing pages and dashboards, it struggles with complex interfaces and JavaScript functionalities. The model was trained in just 4 hours on a powerful GPU, demonstrating the potential of open-source models. Despite its limitations, it provides a solid foundation for UI generation, with opportunities for customization and integration with various frameworks, paving the way for further advancements in the field.
04:52 - 05:14

Post-processing needed for UI output validates the robust but incomplete nature of generated UIs.

Machine Learning Tech & Hardware
... 11:6
New AI Just Beat DeepSeek With Almost No Effort! (This Shouldn't Be Possible!)

AI Revolution

1+ months ago 61K views

Open Thinker 32B is an open-source AI model that outperforms several proprietary models while using only 14% of the data from its competitors. Its training utilized a meticulously curated dataset of 114,000 samples, enhancing its performance in mathematical and logical problem-solving tasks. The model achieves impressive benchmark scores, showing potential for further optimization and development. In conjunction, Hugen 3.5D employs a unique approach of latent reasoning, using a recurrent architecture to enable iterative passes for problem-solving, making it efficient for complex queries while maintaining memory efficiency.
04:20 - 04:34

Open Thinker 32B outperforms Deep Seek R1 in primary benchmarks.

Machine Learning Research & Innovations
... 11:6
New AI Just Beat DeepSeek With Almost No Effort! (This Shouldn't Be Possible!)

AI Revolution

1+ months ago 61K views

Open Thinker 32B is an open-source AI model that outperforms several proprietary models while using only 14% of the data from its competitors. Its training utilized a meticulously curated dataset of 114,000 samples, enhancing its performance in mathematical and logical problem-solving tasks. The model achieves impressive benchmark scores, showing potential for further optimization and development. In conjunction, Hugen 3.5D employs a unique approach of latent reasoning, using a recurrent architecture to enable iterative passes for problem-solving, making it efficient for complex queries while maintaining memory efficiency.
04:20 - 04:34

Open Thinker 32B outperforms Deep Seek R1 in primary benchmarks.

Machine Learning Research & Innovations