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A quick tutorial of how to use Deepseek R1 Distill Models locally - This is not the full Deepseek R1 model rather the distiller smaller version LLMs which further in turn were quantized into GGUF formats.

We use LMStudio to run this, which is easy for Beginners with easy to use GUI.

You can visit and download LMStudio here!

https://lmstudio.ai/

My previous LMStudio Tutorial (specially for Mac after they enabled MLX backend - https://www.youtube.com/watch?v=bGHQFYduBAA)

❤️ If you want to support the channel ❤️
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DeepSeek-R1 Is Challenging OpenAI - How Good Is It? | TESTED

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00:00 Deepseek-r1 Intro
03:20 Coding with Deepseek-r1
11:28 Semantic Test with Deepseek-r1

Video on running DeepSeek-R1 Locally : https://youtu.be/FBCLlyc37UQ

The revolutionary DeepSeek R1 model has just been released, delivering unprecedented performance that's transforming the AI landscape. In this comprehensive guide, Professor Patterns reveals the exact steps to harness its power - from basic platform access to advanced API integration.

✨ TIMESTAMPS:
00:00 Breaking News: DeepSeq R1 Release
00:14 Hugging Face Integration Options
00:24 Platform Access Tutorial
00:36 Deep Think Feature Walkthrough
00:48 API Implementation Guide
01:12 Open Web UI Integration
01:35 Model Testing & Performance

🚀 Exclusive Resources:
Platform Access: platform.deepseek.com
Chat Interface: chat.deepseek.com
API Endpoint: https://api.deepseek.com/v1

Transform your AI capabilities with DeepSeq R1's groundbreaking performance. Learn how to integrate this powerful model into your existing workflow, whether you're using the intuitive chat interface or implementing via API.
📚 Full Guide Includes:
Platform navigation
API key generation
Open Web UI configuration
Integration troubleshooting
Performance optimization

Join the AI revolution - Like, Subscribe, and hit the notification bell to stay updated on the latest breakthrough AI developments. Share your DeepSeq R1 experiences in the comments below!

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DeepSeek-R1 is a strong performing, open source reasoning model with several distilled versions that can be run locally. Here, we walk through the DeepSeek-R1 paper to review the details of the training methodology, download the 14b distilled model via Ollama, test generation / JSON-mode, and then test it in a fully local "deep research" assistant that performs web-research / summarization w/ an iterative reflection step to improve its results.

Video notes:
https://mirror-feeling-d80.not....ion.site/DeepSeek-R1

Code repo:
https://github.com/langchain-a....i/ollama-deep-resear

Related video on reasoning models:
https://www.youtube.com/watch?v=f0RbwrBcFmc

Prior build-from-scratch video for an earlier version of this research assistant:
https://www.youtube.com/watch?v=XGuTzHoqlj8

DeepSeek JUST released a new open source reasoning LLM, R1. This model is insanely powerful - on par and in some cases even BETTER than OpenAI's o1, and there are even local variations you can run yourself that are on par with o1-mini. Absolutely incredible!

With DeepSeek R1, bolt.diy (our open source AI coding assistant) is literally better than Lovable, and I've NEVER been able to say that before R1. In this video, I show you what you can build with R1, and I'm sure your mind will be blown just like mine was.

I also show you how to run DeepSeek R1 locally both through Ollama and HuggingFace. Lot of value packed in a shorter video!

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Check out bolt.diy here (installation instructions also here):

https://bolt.diy

And join our bolt.diy community over in the oTTomator Think Tank!

https://thinktank.ottomator.ai

FULL prompt that I used with R1 and Claude 3.5 Sonnet:

https://docs.google.com/docume....nt/d/1_PEa20LjjeJuOf

DeepSeek R1 Announcement Post:

https://api-docs.deepseek.com/news/news250120

Reddit Benchmark for DeepSeek R1:

https://www.reddit.com/r/Local....LLaMA/comments/1i5q6

Install DeepSeek R1 through Ollama or HuggingFace:

https://ollama.com/library/deepseek-r1
https://huggingface.co/deepseek-ai/DeepSeek-R1

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

00:00 - Introducing DeepSeek R1
01:13 - DeepSeek R1 Performance and Overview
05:57 - Running R1 Locally - Ollama
08:58 - Running R1 Locally - HuggingFace
06:36 - Prompt for Lovable (Full Explanation)
10:53 - bolt.diy + R1 - the Ultimate Combo
12:12 - The Prompt for bolt.diy + R1
14:25 - Building an App with R1
18:36 - Building an App with Claude 3.5 Sonnet
20:28 - Outro

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Join me as I push the limits of what is possible with AI. I'll be uploading videos at least two times a week - Sundays and Wednesdays at 7:00 PM CDT!

Learn The Fundamentals Of Becoming An AI Engineer On Scrimba;
https://scrimba.com/?via=developersdigest

In this video, I dive into the release of DeepSeek R1, the latest open-source reasoning model by DeepSeek. It's a major competitor to OpenAI's O1 series, I'll discuss the model's capabilities, pricing, technical details, and show you how to get started with it. Additionally, I'll compare its performance on coding benchmarks and highlight its permissive MIT license. You'll also learn about the six smaller models released by DeepSeek and how to use the model via their API and within popular IDEs like VS Code. Don't miss out on this exciting development in the world of AI!

Links:
https://github.com/deepseek-ai/DeepSeek-R1
https://chat.deepseek.com/
https://api-docs.deepseek.com/....guides/reasoning_mod
https://huggingface.co/deepseek-ai/DeepSeek-R1

00:00 Introduction to DeepSeek R1 Release
00:14 Model Overview and Technical Details
00:34 Performance Metrics and Comparisons
01:10 Licensing and Open Source Models
01:51 Technical Report Insights
02:56 Using DeepSeek R1: Chat Interface and API
03:46 Pricing and API Specifics
04:58 Setting Up DeepSeek R1 in Your IDE
05:49 Conclusion and Final Thoughts

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🚀 DeepSeek-R1 Engineer: The Ultimate AI Coding Assistant 🌟
Meet DeepSeek-R1 Engineer, an open-source AI coding agent that takes software development to the next level! Powered by the revolutionary DeepSeek R1 model, this app processes conversations to deliver high-quality code generation, real-time file editing, and seamless integrations. Whether you're creating new files, applying diffs, or referencing local files for complex tasks, this tool can handle it all with unmatched precision and reasoning capabilities.

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👾 Join the World of AI Discord! : https://discord.gg/NPf8FCn4cD

[Must Watch]:
Cline v3.2 UPDATE: Fully FREE Autonomous AI Coding Agent! (FREE API - Sonnet 3.5, Planning Agent): https://youtu.be/hmtgo5dVm9c?si=oIKjvovRcSQoTB6j
DeepSeek-R1 + Cline: BEST AI Coding Agent! Develop a Full-stack App Without Writing ANY Code!: https://youtu.be/OBc9xheI2dc?si=RJtwwwfn5sTvV-U7
Deepseek-R1 (Tested): BEST LLM EVER That's Opensource? AGI IS HERE! (Beats O1 & 3.5 Sonnet): https://youtu.be/hXA15NkEHNU?si=nevaWM5sKlD11-cF

[Link's Used]:
Github Repo: https://github.com/Doriandarko/deepseek-engineer
Git Download:https://git-scm.com/downloads
VS Code Download: https://code.visualstudio.com/download
Deepseek API: https://platform.deepseek.com/api_keys

🎯 Key Features:
Advanced Code Generation: High-quality outputs tailored to your requests.
Real-Time File Edits: Reads, creates, and applies diffs to files effortlessly.
Command-Line Interface: Intuitive CLI for developers of all levels.
"/add" Command: Add file or folder contents to conversations instantly.
JSON-Driven Outputs: Ensures structured responses and accurate file operations.
Interactive Sessions: Manage coding tasks directly from your terminal.
Open-Source Excellence: Fully accessible and affordable for developers worldwide.

👉 Dive into this powerful coding assistant and experience the game-changing potential of DeepSeek R1!

🎥 Why You Should Watch:
If you’ve seen my previous videos on DeepSeek R1, you already know the model’s exceptional performance in coding, math, and multilingual tasks. DeepSeek Engineer harnesses this power, offering developers an AI tool that can truly do anything you need, from coding to file management.

Tags:
DeepSeek R1, AI coding assistant, open-source AI, AI for developers, DeepSeek Engineer, Python automation, AI coding tools, advanced AI models, real-time file editing, GPT-like assistant, coding agents, AI developer tools, command-line AI, JSON outputs, AI for programming, AI innovations, DeepSeek R1 Engineer

Hashtags:
#DeepSeekR1 #aiassistants #opensourceai #codingtools #aifordevelopers #techinnovation #programmingmadeeasy #aimodel #DeepSeekEngineer #PowerfulAI

Here's my first impressions of Deepseek R1. We check out the web interface, as well as running some local models with Ollama.

https://www.deepseek.com/
https://ollama.com/library/deepseek-r1

00:00 Introduction
01:10 First Simple Prompt
01:52 Write a Poem
02:50 Write some Python Code
04:49 Translate English to Spanish
05:18 Summarize an Article
07:28 Write Hello World in Assembler
08:41 Build Hello World app from DeepSeek Code
10:25 Write a short story
11:41 Tell me what to pack for a hike
14:59 Run models locally with Ollama
15:37 Run 70B parameter model - Ollama
17:13 What should I pack - Ollama
17:34 70B Results - Ollama
18:59 Run 32B parameter model - Ollama
19:44 32B Results - Ollama
21:00 Run 1.5B parameter model - Ollama
22:25 Conclusion

DeepSeek has released DeepSeek-R1, an open-source AI model that matches the performance of OpenAI's o1 in reasoning, math, and coding tasks. This model, under an MIT license, allows for free use, modification, and commercialization, significantly reducing costs by using pure reinforcement learning. DeepSeek-R1 has shown competitive or superior results in benchmarks like MMLU, Codeforces, and GPQA. The release has sparked discussions on the implications for AI regulation, the economic impact on proprietary models, and the potential for open-source AI to advance rapidly. It's now integrated into platforms like OpenRouter and available for public evaluation, highlighting its practical applications and community engagement.

---
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Deepseek R1 - in depth review of reasoning models and how to tame it

Join my AI builder Club to learn building LLM app in production: https://link.agent.rocks/FHpo4gL

⏱️ Timestamps
0:00 How does reasoning model works
4:23 How to prompt reasoning models
8:15 When to use reasoning models & demo

🔗 Links
- Join AI builder club: https://link.agent.rocks/FHpo4gL
- Prompthub research: https://www.prompthub.us/blog/....prompt-engineering-w
- OpenAI reasoning model course: https://www.deeplearning.ai/sh....ort-courses/reasonin
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👋🏻 About Me
My name is Jason Zhou, a product designer who shares interesting AI experiments & products. Email me if you need help building AI apps! ask@ai-jason.com

📈 Join my AI Automation Skool Community (ALL Resources): http://bit.ly/4eBiuBn


🔮 Make: https://make.com/en/register?pc=jackroberts (*)
📊 DeepSeek technical report: https://github.com/deepseek-ai..../DeepSeek-V3/blob/ma
🔥 Compare LLM Performance: https://artificialanalysis.ai/leaderboards/models
🚨 Open Router: https://openrouter.ai/

💸 Make money with Skool: https://www.skool.com/refer?re....f=d4618abaabee44c7ac
🔮 Book Jack 1-2-1: https://xs4vvmc9.paperform.co

In this video, we'll guide you through the process of installing DeepSeek R1 locally in under 5 minutes.

DeepSeek R1 is a cutting-edge AI model designed to enhance reasoning capabilities in artificial intelligence, offering human-like analysis and step-by-step problem-solving.

You can run it on mac, windows and linux using ollama. All software and models used in this video are open source and free to use.

#DeepSeek #DeepSeek #R1 #DeepSeekR1 #Ollama #AI #LLM #AIDev #AIDeveloper #Agents #MachineLearning

In this video, I explore the fascinating competition between China’s DeepSeek R1 and OpenAI’s ChatGPT 01. Through live demos, I compare their thinking models, performance in math and logic, and their handling of complex challenges like Sudoku. DeepSeek shows promise with its open-source capabilities, but how does it truly stack up? Watch to find out!

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Links

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https://www.deepseek.com

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Chapters
00:00:00 🚀 Introduction: Overview of DeepSeek R1 and ChatGPT 01
00:00:08 🔍 Key Features of DeepSeek: Free, open-source, and cheaper than ChatGPT
00:00:40 🧠 Unique Advantage: DeepSeek’s ability to show thinking steps
00:02:00 🌏 Language Model Challenges: Mandarin-built AI working in English
00:03:35 ✅ DeepSeek vs. ChatGPT in Sentence Logic: Testing sentence-building prompts
00:07:10 🏆 Round 1 Results: DeepSeek outperforms ChatGPT in sentence accuracy
00:09:00 🧩 Sudoku Challenge: Comparing AI models on logic-heavy tasks
00:14:00 🔥 DeepSeek's Thinking in Action: Watching its step-by-step reasoning
00:18:15 🤔 Why AI Makes Mistakes in Logic: Insights into model limitations
00:21:40 ⚡ Speed and Power Differences: ChatGPT vs. DeepSeek efficiency
00:24:00 🌟 Conclusion: The AI competition heats up

Timestamps:

00:00 - Intro
00:59 - Pre-Reqs
01:31 - Getting Started
04:03 - Loading DeepSeek
07:16 - First Test
10:23 - Python Test
13:19 - Llama3-1B Comparison
15:16 - FP16 DeepSeek
19:53 - Closing Thoughts

Explore the power of the DeepSeek R1 family of models running locally on the NVIDIA Jetson Nano! In this video, we dive into the newly released distilled DeepSeek models and demonstrate how to set them up with Open WebUI on the Jetson Nano. Despite its compact size, the DeepSeek R1 1.5B model delivers impressive performance with plenty of room to spare on the Jetson.

We’ll guide you through the installation process, followed by a series of tests, including a Python reasoning test. To provide context, we compare the DeepSeek R1 to the Mini Llama 3.1 1B model, showcasing their differences in performance and capabilities. For those seeking even more power, we also demonstrate how to set up and test the FP16 version of the DeepSeek R1 Distilled 1.5B Qwen model, running seamlessly in WebUI with an Ollama backend.

By the end of this video, you’ll have the knowledge and tools to set up and test a powerful yet efficient local reasoning model on your Jetson Nano.

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Exploring VectorShift & DeepSeek v3: Ultimate Guide to No-Code AI Automation

In this episode, we test out DeepSeek version 3 and explore the potential of creating AI agents on the VectorShift platform. This no-code AI automation tool offers a variety of features, including Google API integration, custom chatbot creation, blog article generation, and much more. We'll walk you through the setup process, showcase various templates, and explain how to deploy your automation workflows. Additionally, learn about using AI for tasks like SEO keyword research, email automation, and competitive analysis. Discover how you can utilize these tools to save time and boost productivity.

00:00 Introduction to Deep Seek Version Three
00:40 Setting Up VectorShift and DeepSeek API
01:14 Creating Workflows and Pipelines
02:14 Exploring VectorShift Features
04:55 Deploying and Testing Automations
06:38 Advanced Customization and Use Cases
10:33 Conclusion and Additional Resources

Use AI to win the SEO game [Free Masterclass]: https://clickhubspot.com/dpk

Ep. 295
Is open source AI the future of marketing intelligence?

Kieran dives into one of the most surprising AI launches of the past year and its implications for marketers everywhere. Learn more about how DeepSeek-R1, an open-source AI model from China, rivals the major players in intelligence and reasoning, the game-changing affordability of this new model, and how to leverage it to supercharge your marketing campaigns with real-world tactics and insights.

Mentions

DeepSeek https://www.deepseek.com/
OpenAI https://openai.com/

Timestamps
00:00 China's Open Source AI Revolution
05:39 Exploring DeepSeek R1 Innovations
06:31 Claude: Superior for Creative Tasks
10:37 AI in Healthcare Marketing

Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt


We’re creating our next round of content and want to ensure it tackles the challenges you’re facing at work or in your business.

To understand your biggest challenges we’ve put together a survey and we’d love to hear from you! https://bit.ly/matg-research



Resource

[Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip

Turn visitors into leads today with HubSpot’s free marketing tools.
https://clickhubspot.com/u99


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‘Marketing Against The Grain’ is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Produced by Darren Clarke.

About the Show
Kipp Bodnar, HubSpot’s CMO and Kieran Flanagan Zapier’s CMO, lead you down the rabbit hole of marketing trends, growth tactics and innovation. On the way you’ll pick up undiscovered strategies to give you that slight edge for success. These are not your typical twitter thread regurgitated marketing tactics that everyone is doing. These are new methods, with unfiltered examination of successful fresh ideas.

Bolt DIY + DeepSeek R1 : Best FREE AI Coder?
DeepSeek R1 Fully Tested - Insane Performance
Deepseek-R1: DESTROYS O1 & Sonnet 3.5 – The True Open-Source Coding King Is Here!

Updated video with Free Deepseek R1 (LM Studio)
https://youtu.be/w-u2Ag1zdGU

✉️ Send me an email:
info@themetaversecompany.uk

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🚀 Welcome to The Metaverse Guy! I’m an AI Developer with extensive experience in Virtual Reality (VR), Augmented Reality (AR), and Web & Mobile App Development. On this channel, I take you behind the scenes of the latest AI innovations, VR/AR experiences, and cutting-edge tools for developers. Learn how to harness the power of AI, create immersive metaverse experiences, and build apps that change the way we interact with technology.

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Join Dan Meyer as he discusses ways that teachers can make amazing K–12 math curriculums and programs for their students through instruction and student connection.

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Website: https://amplify.com/desmos-math
Twitter: https://twitter.com/desmosclassroom
Support: edsupport@amplify.com

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5:20 What does amazing math mean
7:00 Video example of amazing math in action
13:05 Review of 6–8 and A1 math curriculum in Desmos Classroom
31:57 Video example of digital and human connection in math
44:55 Q & A

Photomath, Inc. Chief Growth Officer Jennifer Lee, Cuemath Founder & Chairman Manan Khurma, Stevens Institute of Technology Distinguished Professor Alexei Miasnikov, Bill & Melinda Gates Foundation Senior Program Officer Lewis Leiboh, and The 74 Senior Writer Kevin Mahnken discuss solving the K-12 math crisis at the 2023 ASU+GSV Summit.

The Gates Foundation recently announced a $1.1B investment in K-12 math education, highlighting how it is an absolute top priority for our K-12 learners. We will showcase how startups and education leaders innovate to find unique solutions, such as personalized learning, gamification, and data analytics, to enhance student learning and engagement in math. From classroom solutions to community-wide initiatives, we'll explore how we can support our students in regaining their mathematical footing. Don't miss this opportunity to learn from the best and be part of the solution.

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