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... 9:15
PasteMax + FREE Grok-3, Claude, O3 : This OPENSOURCE AI Coder IS KINDA AMAZING!

AICodeKing

1+ months ago 9K views

Repo Prompt allows users to copy code contexts from projects and integrate them into chat interfaces like ChatGPT, enabling efficient code modifications. While Repo Prompt has paid features and is not open source, an alternative called Paste Max offers similar functionalities for free. Paste Max enables users to browse directories and manage file content for use with AI tools, streamlining the coding process. The video also highlights Dart AI, an effective project management tool that leverages AI for task management and collaboration. Clear instructions on running Paste Max locally and utilizing it with AI models are provided.
02:26 - 03:36

Dart AI enhances project management through AI-driven task automation and collaboration.

Machine Learning Tech & Hardware
... 4:6
Groq AI Weekly - Week 10

Groq

1+ months ago 2K views

A significant milestone has been reached with 1 million developers participating in building applications on the Grok platform. Recently launched advancements include the QWQ 32B reasoning model, which can be tested on Grok Cloud. The updated console enhances user experience with improved toggling between chat and studio modes, and new features for monitoring metrics and managing API keys. A successful webinar reviewed AI Agent deployment and security, while a popular guide on winning hackathons offers insights from experienced developers. Recent hackathon winners showcased impressive projects, reflecting the platform's capabilities and fostering community engagement.
02:11 - 02:26

Webinar on AI Agents discussed deployment, security, and included live demos.

Groq AI cloud services 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
... 12:31
You’re Overpaying for AI Coding | Roo Code System Prompt Override

GosuCoder

1+ months ago 4K views

The video discusses the effectiveness of a new prompting system in AI tools, focusing on how altering system prompts can significantly reduce token usage and costs when coding. Specific examples, such as debugging a Tetris game and cleaning up code in a repository, highlight improvements in efficiency and cost-effectiveness. By customizing prompts to fit unique needs, substantial savings can be achieved, demonstrating the potential for fine-tuning AI tools for particular applications and enhancing user experience with coding assistants.
03:00 - 03:05

Significant reduction of token usage shown through practical examples.

RooCode Machine Learning Education
... 18:55
Top 5 AI Tool I Use In 2025 For Productivity

Abhishek.Veeramalla

1+ months ago 5K views

Five AI tools are presented to enhance productivity in software engineering and content creation, following an exploration of their specific applications. The first tool, Bold.New, assists in generating demo applications with user-specific prompts. GitHub Copilot Workspace enables users to contribute to existing open-source repositories effectively. ChatGPT is leveraged for engaging conversations about technical topics, while GitHub Copilot is an extension for code explanations and debugging support. Lastly, Eraser is recommended for designing diagrams, showcasing versatile applications of AI in different workflows.
11:35 - 12:50

ChatGPT excels in technical discussions, enhancing understanding of programming concepts.

Machine Learning Education
... 23:54
This new AI prompting technique REDUCES token usage SIGNIFICANTLY

GosuCoder

1+ months ago 3K views

My company utilizes numerous API calls to OpenAI and Claw, primarily for building prompts. Encountering challenges during prompt creation led to the investigation of Chain of Draft, which focuses on optimizing thought processes for enhanced results with local models. This approach demonstrates that prompt engineering can both reduce costs and improve accuracy. Various experiments, including a standard house problem and a math problem, reveal trade-offs in token usage and accuracy across different models, ultimately showcasing the value of careful prompt design in leveraging AI models effectively.
01:51 - 02:19

Testing Chain of Thought shows a trade-off between tokens used and answer accuracy.

Natural Language Processing (NLP) Education
... 23:54
This new AI prompting technique REDUCES token usage SIGNIFICANTLY

GosuCoder

1+ months ago 3K views

My company utilizes numerous API calls to OpenAI and Claw, primarily for building prompts. Encountering challenges during prompt creation led to the investigation of Chain of Draft, which focuses on optimizing thought processes for enhanced results with local models. This approach demonstrates that prompt engineering can both reduce costs and improve accuracy. Various experiments, including a standard house problem and a math problem, reveal trade-offs in token usage and accuracy across different models, ultimately showcasing the value of careful prompt design in leveraging AI models effectively.
01:51 - 02:19

Testing Chain of Thought shows a trade-off between tokens used and answer accuracy.

Natural Language Processing (NLP) Education