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... 1:5:31
Python + AI: Large Language Models

Microsoft Reactor

1+ months ago 4K views

Large language models (LLMs) serve as versatile tools for various tasks in software development, enabling developers without machine learning expertise to leverage AI capabilities. This session provides foundational knowledge about LLMs, including their workings, applications in Python, and ways to enhance output quality using techniques like prompt engineering and few-shot examples. The discussion emphasizes practical implications for developers, encouraging engagement with LLMs through hands-on insights and examples. Audience interaction is encouraged throughout the session, reflecting on both the potential and challenges within the landscape of generative AI applications.
11:22 - 11:33

Examining the differences between LLM products and the models they are built on.

Natural Language Processing (NLP) Education
... 5:21
Revolutionary LLMs_Top 26 Transforming AI For Everyone#ai #aimentorm #vairalshort #tech #llm #model

AI Mentor M

1+ months ago 1K views

The AI landscape is evolving rapidly with large language models (LLMs) leading transformations across various industries like software development and content generation. This video outlines the top 26 LLMs making an impact in 2025, highlighting their capabilities, such as efficiency, ethical considerations, and versatility. Models like Quin 2.5 Max and Claude 3.5 are recognized for their advanced features, while others like GPT 40 and Gemini Ultra excel in real-time interactions and productivity enhancements. The discussion emphasizes how these LLMs redefine coding, creativity, and online monetization opportunities.
01:34 - 01:37

MSTR 7B balances performance and resource efficiency effectively.

Natural Language Processing (NLP) AI Trends
... 8:11
LangChain RAG: Optimizing AI Models for Accurate Responses

IBM Technology

1+ months ago 3K views

LangChain enables retrieval augmented generation (RAG) to enhance large language models (LLMs) by providing up-to-date information from knowledge bases. This process involves setting up a knowledge base with content, a retriever to fetch relevant data, and a generative LLM that uses this context for accurate responses. The tutorial demonstrates how to use IBM's resources for this purpose, detailing steps like creating a vector store from documents, implementing a retriever, and using a generative model for queries about recent events and technologies.
05:57 - 06:02

Sets up a prompt combining LLM instructions and search results.

IBM Natural Language Processing (NLP) Education
... 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
... 4:46
DeepSeek LLM in Obsidian - AI-Powered Second Brain!

proflead

1+ months ago 5K views

Local LLMs can be set up for free within Obsidian using the Alama tool, enabling users to run large language models on their devices without significant RAM usage. To begin, users should download Alama, install the desired model, and integrate it through Obsidian's Community Plugin feature. The process involves selecting appropriate settings and models for optimal performance. Once set up, these models can assist in various tasks, such as answering questions, summarizing notes, and operating privately without dependence on external data sources.
01:39 - 02:09

Obsidian's Community Plugin allows installation of models like dsck for enhanced AI usage.

Obsidian Natural Language Processing (NLP) Education
... 13:23
The ONLY AI-powered editor I use (HALF the price of Cursor)

Carberra

1+ months ago 1K views

AI power code editors are increasingly significant in software development, exemplified by Abacus A's Code LLM, which facilitates interaction with code through a user-friendly interface. It includes various LLM options and a built-in autocompleter feature that enhances productivity, particularly for languages like JavaScript. Code LLM offers a bundled access with Chat LLM at a competitive price. Users can explore its capabilities through an intuitive VS Code-like interface, which allows querying and function creation directly within the codebase while integrating contextual knowledge from multiple files, improving code comprehension and development efficiency.
00:51 - 00:55

The video emphasizes its utility for productivity, especially in JavaScript.

Abacus.AI Natural Language Processing (NLP) Tech & Hardware
... 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
... 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