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... 21:39
Ollama Deep Researcher: Amazing Web AI Research Assistant and AI Agents - Install and Run Locally

Aleksandar Haber PhD

1+ months ago 1K views

This tutorial explains how to install and run the Llama Deep Researcher model using the AMA framework on a local computer. The speaker emphasizes the ease of installation, the model's ability to perform comprehensive web searches, and summarize findings using iterative cycles. Key features include integrating large language models and enhancing AI agents to gather and process information effectively. Steps include downloading necessary components, setting up a Python environment, and configuring model parameters to facilitate advanced research capabilities. A practical demonstration follows, showcasing the model’s performance in gathering relevant AI literature.
01:57 - 02:10

Explains how Llama Deep Researcher can combine web searches with language models.

Ollama Machine Learning Research & Innovations
... 11:13
How Alibaba.com is betting on AI to transform e-commerce

South China Morning Post

1+ months ago 5K views

Alibaba is actively leveraging advanced AI models, particularly large language models, to enhance its e-commerce platform. This integration aims to improve user productivity and efficiency for both buyers and sellers. AI facilitates more natural communication, allowing users to engage with the platform using conversational language. The company is utilizing AI agents to assist sellers with marketing, product management, and customer engagement, significantly boosting their conversion rates. Overall, Alibaba emphasizes the importance of AI in the global trade landscape, adapting to dynamic market needs while enhancing user experience.
04:05 - 04:32

AI-driven agents assist sellers with marketing and customer management.

Alibaba.com Machine Learning Retail
... 9:35
The future of open source in AI | Lex Fridman Podcast

Lex Clips

1+ months ago 7K views

Tulu, a new model built from llama's open weight models, pushes the boundaries of post-training AI with a fully open-source approach. The development process has been inspired by various benchmarks, including Chatbot Arena, to evaluate models fairly. The model excels in performance against existing models like llama and DeepSeek V3, thanks to effective reinforcement learning techniques and a focus on safety evaluations. The aim is to improve accessibility for organizations while providing a clear path for further innovation in the open-source AI space, emphasizing the necessity for transparent data and models to foster advancement in AI technologies.
02:22 - 02:27

Reinforcement learning with domain rewards seeks to enhance model capabilities effectively.

Ethical AI frameworks AI Trends
... 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
... 8:7
You Won't Believe the NEW AI Models That Beat DEEPSEEK!

Mervin Praison

1+ months ago 2K views

Mistal Small 3, a 24 billion parameter model, significantly outperforms competitors like Llama 3.370B and Guan 32B in various AI benchmarks. Released with unrestricted Apache 2 license, it can be utilized freely for all purposes. Alongside, AI models such as Tulu 3 and Kimi K 1.5 have also been introduced, showcasing advancements in math performance and image-to-code conversions. Other highlights include DUO 1.5 Pro's unmatched capabilities in AI benchmarks and Riv Fusion's generative music capabilities, demonstrating a strong trend towards open-source AI models with enriched functionalities across multiple domains.
03:41 - 03:54

DUO 1.5 Pro excels in AI benchmarks, showcasing impressive deep learning capabilities.

Machine Learning Research & Innovations
... 16:59
Qwen-2.5 Max: This New Free AI MoE (Mixture of Experts) Model Outperforms DeepSeek V3 Fully Tested

Devs Kingdom

1+ months ago 1K views

Alibaba's Q1 2.5 Max model boasts superior performance compared to other models, featuring pre-training on over 20 trillion tokens and using advanced reinforcement learning techniques. The model, accessible via Alibaba's new chat platform and API, outperformed existing models like Deep 63 and has shown promising results in various metrics, although it doesn't outshine all competitors. The tutorial explores its capabilities through a series of questions and tests, demonstrating the model's strengths in coding, problem-solving, and understanding complex issues, highlighting its performance in practical applications.
01:58 - 02:01

Model performance tested through various coding questions.

Alibaba Neural Network Architectures Research & Innovations
... 8:41
How I Set Up LLaMA AI on My Own Server | Tesla M40 | Dell R5

Jack Of All Tech

1+ months ago 1K views

Running AI models locally offers significant privacy, cost-effectiveness, and accessibility benefits. Setting up Llama 3.2 on a Dell R520 server equipped with an Nvidia Tesla M40 GPU demonstrates the stark performance difference between using CPU versus GPU. The process involves hardware setup, VM creation using Proxmox, and installation of necessary drivers. Once configured, a user-friendly interface is established through Open Web UI, allowing for easier interaction with AI. Generating AI images with Stable Diffusion is explored, showcasing the potential of local AI applications.
Tesla AI hardware Tech & Hardware
... 9:15
New Llama 3.3 Shocks the AI World | Crushes GPT-4 and Costs Almost Nothing!

AI BOT

1+ months ago 1K views

Meta has introduced llama 3.3, a multilingual large language model with 70 billion parameters, significantly improving efficiency compared to its predecessor, while maintaining similar performance levels. It utilizes innovative architectural adjustments and advanced training techniques to reduce GPU demands and operational costs. The open-source nature of llama 3.3 facilitates global adoption among developers, enabling diverse applications in natural language processing and VR. The model excels in long context processing, making it a revolutionary tool for various fields. Meta is also investing in infrastructure to support its AI and VR initiatives while addressing environmental concerns associated with AI model training.
06:40 - 07:20

New environmental initiatives aim for sustainable practices in AI development.

Natural Language Processing (NLP) AI Trends
... 9:15
New Llama 3.3 Shocks the AI World | Crushes GPT-4 and Costs Almost Nothing!

AI BOT

1+ months ago 1K views

Meta has introduced llama 3.3, a multilingual large language model with 70 billion parameters, significantly improving efficiency compared to its predecessor, while maintaining similar performance levels. It utilizes innovative architectural adjustments and advanced training techniques to reduce GPU demands and operational costs. The open-source nature of llama 3.3 facilitates global adoption among developers, enabling diverse applications in natural language processing and VR. The model excels in long context processing, making it a revolutionary tool for various fields. Meta is also investing in infrastructure to support its AI and VR initiatives while addressing environmental concerns associated with AI model training.
06:40 - 07:20

New environmental initiatives aim for sustainable practices in AI development.

Natural Language Processing (NLP) AI Trends