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... 11:18
I used AI to write tests for my .NET application... Here's what happened

Milan Jovanović

1+ months ago 3K views

This video demonstrates how to utilize AI, specifically Cursor, to generate unit tests, integration tests, and functional tests for a .NET application. The presenter showcases a project called 'Run Tracker' based on clean architecture, outlining its endpoints and use cases. The video emphasizes the importance of having a well-structured test project to maximize AI capabilities in test case generation while also detailing how the Cursor IDE enables efficient integration with language models. By running existing test cases, the presenter confirms their functionality before leveraging AI for further test generation.
06:16 - 06:46

AI occasionally makes mistakes, requiring manual prompting for corrections.

Machine Learning Education
... 11:26
Microsoft Drops RD-Agent: Industrial AI Agent - Install Locally

Fahd Mirza

1+ months ago 2K views

Microsoft's newly released R&D agent is an open-source platform designed to enhance industrial productivity through AI-driven automation in R&D processes. It focuses on automating high-value research and development tasks particularly in data-driven fields like finance and medical sectors. The platform streamlines critical R&D processes and efficiently leverages AI for model and data development. The installation process of the R&D agent requires setting up an environment with API keys from OpenAI, allowing users to run demos showcasing its capabilities in generating financial trading strategies and conducting quantitative analysis.
04:10 - 05:05

The finance data agent illustrates hypothesis generation and decision-making processes.

Microsoft Machine Learning Manufacturing
... 25:53
Academic AI Tools Tier List: 20 Best & Worst AI Tools RANKED!

Andy Stapleton

1+ months ago 9K views

AI tools are extensively evaluated in this video, featuring a tier list of favorites and least favorites. The discussion covers several tools like Schy, Julius AI, and Insightful, examining their pricing, features, and overall effectiveness for students and researchers. Tools for data analysis, literature reviews, and writing assistance are highlighted, with emphasis on their usability and the unique benefits they offer. The review categorizes these tools from S-tier to F-tier based on functionality and relevance for academic use, ultimately encouraging feedback from viewers on their own experiences with these tools.
02:29 - 03:07

Insightful connects research papers effectively but lacks comprehensive features.

Elicit Natural Language Processing (NLP) Education
... 30:26
The ULTIMATE ChatGPT o1 Guide 2025: How to Use Chat GPT For Beginners

AI Master

1+ months ago 2K views

The video contrasts the capabilities of the GPT-1 and GPT-4 models, emphasizing GPT-1's advanced reasoning skills, which excel in depth and logic, making it favorable for tasks involving math and programming. It discusses the importance of crafting specific prompts to harness GPT-1's strengths effectively, including the use of detailed requests and instructing the model to provide thorough explanations. Limitations of GPT-1, such as its lack of multimodality and web connectivity, are highlighted alongside its substantial context window. The speaker encourages a structured approach to prompting, focusing on accuracy, organization, and the appropriate context to optimize results.
02:04 - 02:15

GPT-1 has a larger context window, improving detail and accuracy.

Appsumo Chatbots Education
... 11:48
One AI Tool To Revolutionize Product Teams! Tempo Labs Overview

AI Tooltip

1+ months ago 2K views

Tempo Labs is an AI coding tool that streamlines the product development process from requirements gathering to production-ready code. It allows designers, even those without coding experience, to create functional designs and collaborate seamlessly with developers. The tool generates product requirement documents, flowcharts, and necessary code for applications using the advanced Claude 3.7 model. It enables real-time design edits and component management, enhancing team collaboration and control over project outcomes. The tool also integrates with GitHub and databases like Supabase, making it a powerful asset for modern product teams.
01:42 - 02:06

AI generates product requirements and flowcharts, streamlining the development process.

Tempo Labs Machine Learning AI Startups
... 12:42
Microsoft PIKE-RAG - Specialized Knowledge Meets AI Reasoning - Install and Test

Fahd Mirza

1+ months ago 1K views

Pike Rag offers a unique approach to retrieval-augmented generation (RAG) for specialized knowledge, addressing complexities within domains like healthcare or manufacturing. It improves accuracy and reliability by integrating structured logical reasoning with specialized domain knowledge directly into its generation pipeline. Despite its promising capability and potential for shaping AI projects, commitment from Microsoft seems lacking. Practical applications highlight its effectiveness, yet customization challenges remain a significant barrier for users looking to adapt it to their needs, suggesting an opportunity for innovation in the field.
03:23 - 03:34

Pike Rag efficiently breaks down complex problems with improved accuracy in reasoning.

Microsoft 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
... 9:37
How to Use Perplexity's FREE Deep Research to Save *Hours* on Research

Andy Stapleton

1+ months ago 7K views

Perplexity offers powerful academic research capabilities that differentiate it from other AI tools, particularly for students. It provides free access to deep research features, enabling users to conduct extensive, literature-based inquiries. With the ability to generate structured responses and reference numerous academic sources, it serves as a valuable resource for academic projects. The platform's user-friendly interface allows for tailored searches, integrating various academic references effectively, which enhances productivity compared to traditional research methods. Overall, Perplexity represents a significant advancement in free academic research options, effectively competing with other established AI tools.
01:02 - 01:16

Perplexity's interface allows for academic-focused searches, enhancing research control.

Perplexity Natural Language Processing (NLP) Education
... 9:37
How to Use Perplexity's FREE Deep Research to Save *Hours* on Research

Andy Stapleton

1+ months ago 7K views

Perplexity offers powerful academic research capabilities that differentiate it from other AI tools, particularly for students. It provides free access to deep research features, enabling users to conduct extensive, literature-based inquiries. With the ability to generate structured responses and reference numerous academic sources, it serves as a valuable resource for academic projects. The platform's user-friendly interface allows for tailored searches, integrating various academic references effectively, which enhances productivity compared to traditional research methods. Overall, Perplexity represents a significant advancement in free academic research options, effectively competing with other established AI tools.
01:02 - 01:16

Perplexity's interface allows for academic-focused searches, enhancing research control.

Perplexity Natural Language Processing (NLP) Education