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... 1:9:46
Deep .NET - Using AI Python Libraries in .NET Apps with CSnakes

dotnet

1+ months ago 3K views

Sea snakes enables embedding Python into .NET applications, effectively bridging the gap between languages. This allows developers to utilize Python's vast libraries for data science, machine learning, and AI directly within .NET projects. The integration addresses previous challenges faced by developers in interfacing the two languages while optimizing performance and compatibility. The focus is on creating a robust environment where Python's capabilities can be combined effortlessly with .NET's features, enhancing productivity without requiring extensive code rewriting or library compatibility checks.
51:42 - 52:07

Python's recent growth is fueled by AI and machine learning advancements.

Machine Learning Tech & Hardware
... 12:21
NEW OpenAI AI Agents SDK – Multi-Agent AI Made Simple

Better Stack

1+ months ago 1K views

OpenAI has launched a new Agents SDK in Python, offering streamlined creation of AI agents with features such as tool use, handoffs, and guardrails. With built-in tracing for visualization and debugging, the open-source SDK supports flexibility across multiple providers without vendor lock-in. The speaker demonstrates the simplicity of creating agents that connect with external APIs, such as weather and flight information, using handoff logic to effectively manage user requests. Additional functionalities include local context management and tools integration for enhanced interaction capabilities, making this SDK a powerful resource for AI development.
02:50 - 03:05

Explained the use of handoffs to manage user requests between agents.

OpenAI Machine Learning Tech & Hardware
... 35:50
MCP Tutorial: Connect AI Agents to Anything!

Leon van Zyl

1+ months ago 3K views

Custom tools can be added to AI agents using the Model Context Protocol (MCP), a standardized protocol for building tools with Python or JavaScript. By facilitating connections between AI models and various data sources, MCP enhances the functional capabilities of AI agents. The tutorial illustrates creating a to-do list tool capable of adding, retrieving, and removing tasks. It emphasizes that these tools can be integrated into various software platforms, including Claude Desktop and Cursor, allowing seamless interaction and data retrieval. The session provides practical steps for building an MCP server that integrates SQLite for task management.
03:14 - 03:43

Setting up the MCP server, detailing required tools and packages.

Machine Learning Education
... 12:34
Build a "Plan and Execute" AI Agent Workflow with LangGraph

Deep Charts

1+ months ago 1K views

Building a plan and execute AI agent in Python using the Lang graph Library enables users to systematically tackle complex tasks by creating a structured approach to achieve specific goals. This agent interprets user preferences, generates actionable steps, and dynamically adapts to unexpected situations. The tutorial focuses on developing a music event recommendation agent that adjusts its suggestions based on real-time information and incorporates the Perplexity Sonar API for enhanced performance, opening discussions on how this technology can be leveraged effectively in different applications.
02:28 - 02:46

Integrating Perplexity Sonar API enhances real-time search capabilities in AI.

LangGraph Natural Language Processing (NLP) Education
... 7:44
Best AI Investing Finance Tracker: Finance Professor Confirms

Investing Simplified - Professor G

1+ months ago 13K views

Quadratic simplifies finance management through AI-driven spreadsheets that allow users to easily track investments and consolidate data from multiple accounts. The tool is designed for both technical and non-technical users, enabling seamless incorporation of coding languages like Python, JavaScript, and SQL for complex analysis. Users can generate visual aids like pie and bar charts with simple text commands, making data visualization straightforward. Quadratic promotes collaboration across teams by guiding users in data management without requiring deep coding knowledge, enhancing productivity and supporting informed decision-making in finance and business operations.
04:52 - 05:18

Built-in AI empowers users across roles to handle data without coding.

Quadratic Predictive Analytics Finance
... 11:19
Build Gen AI applications with LangChain and SQL | Data Exposed

Microsoft Developer

1+ months ago 1K views

Python package integrates Lang Chain and SQL to utilize AI capabilities across various SQL platforms, including Azure SQL databases. The episode features a discussion on how developers can build applications like chatbots using this package, designed for easy access to native vector support. Key insights include the versatility of the integration across different SQL flavors and the ease of setup with just a few lines of code, empowering developers to enhance their applications with AI functionalities effectively.
04:00 - 04:26

A demo showcases real-time chatbot applications utilizing SQL databases and Azure OpenAI.

Microsoft AI cloud services Tech & Hardware
... 8:49
Quadratic AI – The Future of AI Powered Spreadsheets!

Pavan Lalwani

1+ months ago 2K views

Quadratic is a web-based AI tool designed to enhance spreadsheet efficiency by generating Python, JavaScript, and SQL code. Users can sign up via Gmail and access various features, including creating dummy datasets, visualizing data through charts, and animating visuals with simple prompts. The application connects to different databases and supports multiple users, making it suitable for various departments. Quadratic leverages AI capabilities, specifically utilizing LLMs like GPT, enabling users to execute complex data analysis and visual representation seamlessly. The tool is available for free for personal use, emphasizing accessibility for individuals across various fields.
Quadratic AI Machine Learning Tech & Hardware
... 8:49
Quadratic AI – The Future of AI Powered Spreadsheets!

Pavan Lalwani

1+ months ago 2K views

Quadratic is a web-based AI tool designed to enhance spreadsheet efficiency by generating Python, JavaScript, and SQL code. Users can sign up via Gmail and access various features, including creating dummy datasets, visualizing data through charts, and animating visuals with simple prompts. The application connects to different databases and supports multiple users, making it suitable for various departments. Quadratic leverages AI capabilities, specifically utilizing LLMs like GPT, enabling users to execute complex data analysis and visual representation seamlessly. The tool is available for free for personal use, emphasizing accessibility for individuals across various fields.
Quadratic AI Machine Learning Tech & Hardware