Close

Explore AI

Explore GPTs

Explore AI News

Explore AI Videos

Explore AI for Jobs

Results for “lm.org”

Follow
Sort by: Relevance Date
... 1:9:48
Python + AI: Vision models

Microsoft Reactor

1+ months ago 1K views

Multimodal LLMs, which can process both images and text simultaneously, are significantly enhancing AI applications. Specifically, today's presentation focused on how these models analyze visual data, exemplified through image classification and embedding visual and textual data into a unified format. Practical demonstrations illustrated using public URLs and data URIs for image transmission to models. The session also covered practical use cases, including tree loss analysis via charts and insurance fraud detection using images of vehicle damage, emphasizing the benefits and considerations involved in deploying AI for efficient decision-making. Future developments and challenges in multimodal approaches were hinted at through discussions of embeddings and RAG methodologies.
18:21 - 19:09

Showcased using AI for assessing the legitimacy of insurance claims.

Image Recognition Education
... 14:8
Could This AI Replace Teachers? Exploring Google’s LearnLM

Teacher's Tech

1+ months ago 2K views

Google's Learn LM is an AI-powered educational tool designed to adapt to individual learning styles and help grasp complex concepts more effectively. As a current teacher, the potential for this technology to enhance differentiated instruction is emphasized, though it is not seen as a replacement for traditional educators. The platform guides users in providing answers, support, and scaffolding, allowing for interactive learning experiences. Comparisons with existing models like ChatGPT reveal how Learn LM aims to improve the educational landscape through tailored assistance in classrooms for various learners.
06:16 - 06:40

Learn LM breaks down homework problems step-by-step for effective student guidance.

Google Natural Language Processing (NLP) Education
... 10:1
FREE Local AI Chat: No Subscriptions Needed (Open WebUI Setup Guide)

Leon van Zyl

1+ months ago 1K views

Ollama facilitates downloading and running large language models locally for offline, secure access. To enhance user experience beyond terminals, Open Web UI offers a visually appealing chat interface that integrates seamlessly with Olamo. Users can choose from downloaded models, engage in conversations akin to ChatGPT, upload files, and use code interpreters. The setup involves installing Olamo, downloading models, and utilizing Docker for Open Web UI. This allows users to interact with models like Llama 3.2, explore multimodal capabilities, customize system prompts, and leverage reasoning models for tasks like trip planning, thereby enhancing AI applications in practical scenarios.
02:52 - 03:06

Utilizing Docker for Open Web UI simplifies model deployment and access.

Ollama Chatbots Tech & Hardware
... 11:31
CodeLLM - The New Agentic AI Code Editor With Access To Top Models

Developers Digest

1+ months ago 5K views

This video demonstrates the capabilities of Code LLM, an AI code editor that allows access to various AI models, including Sonet 3.5 and O1. It showcases features like autocomplete, solutions to coding problems, and generating game code based on user prompts. Users can switch between models for different tasks, with the platform's model router intelligently selecting the most appropriate one. Code LLM stands out for its accessibility to cutting-edge models and the ability to use natural language to describe desired coding outcomes, greatly enhancing the coding experience.
03:30 - 04:50

Highlights model switching and enhanced game code generation with powerful models.

Claude Natural Language Processing (NLP) Tech & Hardware
... 12:36
World’s First USB Stick with Local LLM – AI in Your Pocket!

Build With Binh

1+ months ago 2K views

A large language model (LLM) can be deployed on a Raspberry Pi Zero W USB device, allowing offline access and automatic file generation based on user input. The process involves modifying the Pi, designing a case, and addressing technical challenges related to architecture-specific optimizations for compiling LLMs. This innovative setup allows users to interact with the LLM by simply naming files, leading to automatic text generation. The project showcases the feasibility of running local models on low-spec hardware, paving the way for future advancements in portable AI solutions.
12:01 - 12:08

First plug-and-play LLM USB device generates files based on input.

AI hardware Tech & Hardware
... 13:18
Ollama Deep Researcher: Local Web Research Assistant AI Tool

AI Anytime

1+ months ago 1K views

OLama Deep Researcher is introduced as an open-source tool created by the Langin team to assist with research activities. It draws from various data sources to generate search queries, gather results, and synthesize information using large language models (LLMs). The tool functions locally and requires an API key from either Tavaly or Perplexity for optimal operation. The setup process is straightforward, involving cloning a repository and configuring settings. Features include customizable options to enhance research productivity, leveraging multiple resources to support extensive inquiries.
02:01 - 02:28

Tool generates search queries then gathers information from the internet.

Ollama Natural Language Processing (NLP) Research & Innovations
... 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
... 7:16
Run Any AI Model Locally On Your Computer!

Astro K Joseph

1+ months ago 1K views

A variety of open source AI models are available for local installation and use. Users can explore models on Hugging Face's platform and easily download them using LM Studio, compatible with Mac, Windows, and Linux. The installation process is straightforward, requiring no advanced configurations or additional dependencies. By searching for specific models like DeepSpeed or LLaMA within LM Studio, users can engage with AI models directly on their machines, experiencing real-time interaction and processing speeds.
04:54 - 05:06

Using LM Studio eliminates the need for installing dependencies to run models.

Machine Learning Tech & Hardware
... 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