Close

Explore AI

Explore GPTs

Explore AI News

Explore AI Videos

Explore AI for Jobs

Latest Linear AI Videos

Find the latest for Linear company videos

Follow
... 9:23
Are LQMs the Future of AI? Discover How Industries Are Transformed Beyond LLMs

AI Exposed

1+ months ago 1K views

Employing Large Quantitative Models (LQMs) can advance AI's role in drug discovery, financial modeling, and engineering by accurately simulating complex data interactions instead of relying on language-based generative models like ChatGPT. LQMs have advantages in understanding scientific principles and running simulations to create innovative products, whereas LLMs excel in text-based tasks like writing and summarizing. The emerging technology highlights a significant shift in AI capabilities, emphasizing the need for advanced computational resources and domain expertise to develop effective and reliable models for various industries.
06:16 - 06:39

Building LQMs involves complex challenges requiring specialized expertise and data.

Machine Learning AI Trends
... 17:5
AI is going to kill new tech (unless we fix it)

Davis

1+ months ago 3K views

LLMs excel at established technologies but struggle with newer ones such as Svelte. Despite initial skepticism about AI's usefulness, adopting LLMs for everyday tasks has proven beneficial. However, attempts at generating Svelte code with models often yield confusing results due to a lack of updated training data. Testing various models on tasks revealed significant limitations, particularly with newer frameworks and libraries. Leveraging semantic search and context-based strategies is suggested as a solution to enhance LLM outputs, but challenges remain in achieving consistent and accurate responses.
01:09 - 01:51

Recent training models do better in understanding newer technologies like Svelte.

Natural Language Processing (NLP) AI Trends
... 6:12
ON THE RISE! 🔥 Lightchain AI 🔥 PRESALE FOR A HIGH POTENTIAL!

Crypto Legends

1+ months ago 8K views

The video details the use of the Light Chain project's faucet, highlighting its recent updates and features. The faucet allows users to claim LCI test tokens every 24 hours for on-chain transactions and smart contract deployments. Users are encouraged to explore the project further and join the ongoing pre-sale. The current token price and upcoming increases are emphasized, as well as the integration of AI technologies like the Artificial Intelligence Virtual Machine for enhanced blockchain operations. High expectations are set for the Light Chain project's growth and community involvement.
02:03 - 02:20

Users can perform on-chain activities using tokens claimed from the faucet.

Lightchain AI Blockchain AI Startups
... 15:34
New AI Model "Thinks" Without Using a Single Token

Matthew Berman

1+ months ago 94K views

Recent research introduces a novel approach for large language models (LLMs) that enhances internal reasoning by processing thoughts in latent space before producing any output. This method diverges from traditional Chain of Thought models, enabling LLMs to tackle problems transcending verbal representation. The findings challenge existing beliefs about LLMs' reasoning capabilities, illustrating that planning and reasoning cannot rely solely on linguistic descriptions. By integrating latent reasoning into model architecture, this research aims to develop models capable of deeper understanding and more efficient computations, ultimately moving towards achieving a higher level of artificial general intelligence.
04:29 - 04:59

New architecture enables models to perform thinking before generating outputs.

Machine Learning Research & Innovations
... 11:23
DeepSeek R1 vs OpenAI O1 Model using LangDB's AI Gateway

Bhavesh Bhatt

1+ months ago 5K views

The rapid emergence of new AI models has made the use and comparison of different LLMs a complex challenge due to the lack of a universal API and varying integration requirements among providers. Lang DB addresses these issues by offering a unified interface, allowing seamless interaction with multiple LLMs. It is open-source and compatible with OpenAI's APIs, enabling enterprises to easily test and compare different models while maintaining efficient cost control, governance, and security. A demonstration showcases Lang DB’s functionality, including project creation, model comparison, and cost analysis for various AI models.
02:15 - 03:20

The demo showcases how to compare LLMs efficiently via Lang DB.

Deepseek Natural Language Processing (NLP) Research & Innovations
... 7:28
AI Coding Agent Tutorial For Beginners - AI Code Editors in 2025

Kingy AI

1+ months ago 34K views

Code LLM integrates agentic capabilities with large language models, enabling efficient code editing and task handling. Users can access a range of AI models, including the newly released 03 mini high model, for tasks such as explaining and refactoring code. The utility of the tool is underscored by cost-effectiveness compared to existing models like ChatGPT. The seamless integration of chat and agent functionality allows for enhanced interaction with the code editor, making it user-friendly and powerful for both beginners and experienced developers.
02:36 - 02:54

Access to cutting-edge models, including the recently released 03 mini high.

Abacus.AI Chatbots Education
... 11:8
Code LLM Review 2025 - This AI Code Editor Could 10x Your Developer Productivity | Abacus AI

Daniel | Tech & Data

1+ months ago 5K views

Cod LLM is an advanced code editor designed to streamline the coding process and alleviate stress for developers. Built on Visual Studio Code, it offers features like code auto-completion and AI-driven code generation based on user prompts. The tool also supports various AI models to enhance coding practices and can generate complete code snippets for projects such as Telegram bots. With a user-friendly interface and built-in chat assistance, Cod LLM aims to improve coding efficiency and facilitate seamless interaction with AI technologies.
07:11 - 07:19

Autocomplete feature suggests code completions for faster and more efficient coding.

Abacus AI Natural Language Processing (NLP) Tech & Hardware
... 6:25
4 Million Context Unlocked: China's NEW AI Breakthrough!!

1littlecoder

1+ months ago 7K views

China's Minia Max has introduced a groundbreaking architecture called Lightning Attention, designed to address scalability issues in large language models. Traditional transformer models face quadratic computational complexity when processing longer text sequences, making them inefficient. Lightning Attention offers a new approach by implementing linear complexity, drastically reducing the computational demands. This innovation, also open-sourced, positions Minia Max as a significant player in the AI field, achieving competitive performance against established models and extending context windows significantly, potentially transforming large language model operations.
02:31 - 03:08

Lightning Attention achieves linear complexity, improving computation efficiency.

MiniMax Neural Network Architectures Research & Innovations
... 6:25
4 Million Context Unlocked: China's NEW AI Breakthrough!!

1littlecoder

1+ months ago 7K views

China's Minia Max has introduced a groundbreaking architecture called Lightning Attention, designed to address scalability issues in large language models. Traditional transformer models face quadratic computational complexity when processing longer text sequences, making them inefficient. Lightning Attention offers a new approach by implementing linear complexity, drastically reducing the computational demands. This innovation, also open-sourced, positions Minia Max as a significant player in the AI field, achieving competitive performance against established models and extending context windows significantly, potentially transforming large language model operations.
02:31 - 03:08

Lightning Attention achieves linear complexity, improving computation efficiency.

MiniMax Neural Network Architectures Research & Innovations