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... 18:1
Why I DON'T Run AI-Models Locally (Only In Docker or Cloud!)

ByteGrad

1+ months ago 1K views

Many individuals download tools from the internet for local execution, but doing so can pose security risks. Using Docker containers provides isolation and added security for running AI models. For further safety, utilizing cloud development environments like Coder allows users to access AI models without taxing their local hardware, ensuring consistency among team members. Coder simplifies setup by providing pre-configured environments for AI, making it easier for teams to use identical versions of AI tools across different projects. This benefits productivity and collaborative workflows, enabling a seamless experience for AI engineers.
03:18 - 03:27

A cloud development environment allows team collaboration with identical AI resources.

Coder AI cloud services Tech & Hardware
... 5:48
Before you call Manus AI Agent, a GPT Wrapper!

1littlecoder

1+ months ago 6K views

Manus is an advanced AI agent that goes beyond being a simple wrapper for existing technologies. With a structure that includes multiple isolated sandboxes for user sessions and a multi-agent implementation for task execution, it integrates various tools, including a modified version of the Code Act framework. Users interact solely with the executive agent, ensuring efficient context management. Despite using Claude 3.5, Manus exhibits potential for development, acknowledging the collaborative nature of its functions, and plans for open-sourcing elements of its architecture, indicating progress in reliable autonomous AI systems.
02:42 - 02:46

Functions available in Manus are categorized for efficient tool utilization during tasks.

Chatbots AI Startups
... 13:47
NEW Cline 3.5 AI Update is CRAZY (FREE!)🤯

Julian Goldie Agency

1+ months ago 1K views

Klein's update on their autonomous coding agent introduces Claude 3.7 thinking mode within CLIENT, enhancing coding capabilities. Users can access improved features such as extended thinking options and the ability to set budgets for API usage. New functionalities include language support for building multilingual applications and integration with Rich mCP servers for web previews. The platform allows customization through API integration and has various tools for planning and executing coding projects efficiently, focusing on real-world applications of AI in web development and automation strategies.
02:05 - 02:25

Planning mode aids in generating comprehensive project outlines before development.

Julian Goldie Agency Machine Learning AI Startups
... 55:24
CodeSandbox SDK: How To Build AI Coding Agents

Together AI

1+ months ago 1K views

The presentation focuses on the features of the Code Sandbox SDK, showcasing its ease of use in running code securely and in isolation, facilitating AI applications such as coding agents. Key functionalities include the execution of code snippets from chat applications, environment hibernation, and live cloning of sandboxes for development. The presentation highlights real-time coding demonstrations, integrating AI into diverse applications, and emphasizes security aspects, considering the complexities of running untrusted code. Participants engage in practical examples and Q&A, while illustrating code execution capabilities on various programming languages using Code Sandbox SDK.
04:50 - 04:53

Integration of coding agents for real-time analysis and suggestions.

CodeSandbox Natural Language Processing (NLP) Education
... 13:56
NEW Cline 3.5 AI Update is INSANE (FREE!)🤯

Julian Goldie SEO

1+ months ago 4K views

Klein has launched an update for its autonomous coding agent, allowing users to utilize Claude 3.7 thinking mode directly within Cent. This update provides features like extended thinking options, budget settings for planning and acting modes, support for Rich mCP servers, and capabilities for building multilingual websites. Users need to download Visual Studio Code, install the Cent extension for free, and can leverage various APIs while coding. The speaker demonstrates how to plan and execute a project using these features, emphasizing improved coding outputs and customization options through AI technologies.
01:20 - 01:49

Select and configure Claude 3.7 Sonic with custom instructions for tailored outputs.

Machine Learning AI Startups
... 24:46
ChatGPT in Your Car?! 🤯 ATOTO CB6 Apple CarPlay AI Box Review – Is It Any Good?

Anthony Barker (CarPlayLife)

1+ months ago 2K views

The video reviews the Aoto CB6 CarPlay AI Box, powered by an Android 13 operating system and a 6115 chipset, featuring 8 GB of RAM and 128 GB of storage. Its main selling point is its unique integration with a ChatGPT-based chatbot, providing conversational AI capabilities in cars. The unboxing showcases included accessories like various power cables and an internal SIM trial plan. The review focuses on performance, user interface, app support, and video playback capabilities, concluding that while the adapter is effective, its lower processing power compared to high-end models may limit performance in demanding scenarios.
16:44 - 17:00

Integrates with a ChatGPT interface for advanced user interactions.

ATOTO Chatbots Transportation
... 8:43
ADVANCED 3.7 Sonnet CODER: This FREE AI Coder JUST GOT Insane with THESE New Tools!

AICodeKing

1+ months ago 3K views

DataButton is an advanced AI coding tool that generates full-stack applications based on user project requirements. It incorporates features such as reasoning, planning, and deployment capabilities and utilizes Claude 3.7 Sonet for enhanced function. Recent upgrades have added various tools like file management, code searching, package installation, and data handling. These functionalities make it easier for developers to create, update, and deploy applications rapidly, transforming ideas into working software on domains effectively.
05:21 - 05:36

Explains deployment tool that facilitates easy application deployment to domains.

Databutton 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