- 13
- 98 398
The AI News
United States
Приєднався 9 лис 2024
Our Mission: Democratize AI knowledge through comprehensive, practical tutorials that empower everyone to master cutting-edge AI tools.
Welcome to [Channel Name], your learning hub for mastering AI tools through interactive tutorials. We transform complex AI applications into actionable skills through:
In-depth Tool Tutorials: Step-by-step guides for the latest AI platforms
Real-world Applications: From trading to creative work
Practical Tips: Optimize your AI workflow
Implementation Guides: Turn concepts into working solutions
Join our community of future-ready learners mastering AI tools that matter. Subscribe to stay ahead of the AI revolution with practical, hands-on knowledge.
Welcome to [Channel Name], your learning hub for mastering AI tools through interactive tutorials. We transform complex AI applications into actionable skills through:
In-depth Tool Tutorials: Step-by-step guides for the latest AI platforms
Real-world Applications: From trading to creative work
Practical Tips: Optimize your AI workflow
Implementation Guides: Turn concepts into working solutions
Join our community of future-ready learners mastering AI tools that matter. Subscribe to stay ahead of the AI revolution with practical, hands-on knowledge.
NotebookLM EXPLAINS DeepSeek R1 Breakthroughs for Beginners!
🚀 DeepSeek V3 and R1 Explained Using NotebookLM!
DeepSeek R1 is making shockwaves in the AI world, and today, we’re breaking it all down using NotebookLM! This small AI startup just caused one of the biggest single stock crashes in history, shaking NVIDIA and the entire AI industry. But what makes DeepSeek R1 so powerful? How did it disrupt the market? And what does this mean for the future of AI?
I used NotebookLM to analyze all the news, blogs, technical papers, X posts, and UA-cam videos about DeepSeek R1. The result? A deep dive into its groundbreaking optimizations, unique architecture, and massive industry impact.
Get ready to unpack everything you need to know about DeepSeek R1, its potential risks, and what it means for AI’s future!
🔥 Watch now to find out why DeepSeek R1 is unlike anything we’ve seen before!
📌 Chapters:
0:00 Intro and NotebookLM setup
1:04 DeepSeek and Founder Introduction
1:55 Why is Deepseek V3 and R1 Special Model?
2:36 Pure Reinforcement Learning
4:56 Stage-1: Cold Start
5:23 Stage-2: Reasoning Oriented RL
5:49 Stage-3: Rejection Sampling & SFT
6:16 Stage-4: RL For all other scenarios
6:43 Group Relative Policy Optimization (GRPO)
7:27 Mixture-Of-Experts (MoE)
8:42 Distillation
9:28 Low Precision (FP8)
9:46 Chain-Of-Thought (CoT)
10:13 Hardware Optimizations
10:40 Benchmark Results Comparison
11:17 API Pricing
11:36 What does it mean for Industry?
12:09 Perplexity + Deepseek Demo
💡 Learn More:
arxiv.org/pdf/2412.19437
arxiv.org/pdf/2402.03300
👊 Don’t forget to LIKE, SUBSCRIBE, and HIT THE BELL 🔔 to stay updated on the latest AI breakthroughs!
#deepseekAI #notebooklm #deepseekv3 #deepseekR1
DeepSeek R1 is making shockwaves in the AI world, and today, we’re breaking it all down using NotebookLM! This small AI startup just caused one of the biggest single stock crashes in history, shaking NVIDIA and the entire AI industry. But what makes DeepSeek R1 so powerful? How did it disrupt the market? And what does this mean for the future of AI?
I used NotebookLM to analyze all the news, blogs, technical papers, X posts, and UA-cam videos about DeepSeek R1. The result? A deep dive into its groundbreaking optimizations, unique architecture, and massive industry impact.
Get ready to unpack everything you need to know about DeepSeek R1, its potential risks, and what it means for AI’s future!
🔥 Watch now to find out why DeepSeek R1 is unlike anything we’ve seen before!
📌 Chapters:
0:00 Intro and NotebookLM setup
1:04 DeepSeek and Founder Introduction
1:55 Why is Deepseek V3 and R1 Special Model?
2:36 Pure Reinforcement Learning
4:56 Stage-1: Cold Start
5:23 Stage-2: Reasoning Oriented RL
5:49 Stage-3: Rejection Sampling & SFT
6:16 Stage-4: RL For all other scenarios
6:43 Group Relative Policy Optimization (GRPO)
7:27 Mixture-Of-Experts (MoE)
8:42 Distillation
9:28 Low Precision (FP8)
9:46 Chain-Of-Thought (CoT)
10:13 Hardware Optimizations
10:40 Benchmark Results Comparison
11:17 API Pricing
11:36 What does it mean for Industry?
12:09 Perplexity + Deepseek Demo
💡 Learn More:
arxiv.org/pdf/2412.19437
arxiv.org/pdf/2402.03300
👊 Don’t forget to LIKE, SUBSCRIBE, and HIT THE BELL 🔔 to stay updated on the latest AI breakthroughs!
#deepseekAI #notebooklm #deepseekv3 #deepseekR1
Переглядів: 1 625
Відео
5 Shocking Benefits of Using Google AI Studio You Never Knew Existed!
Переглядів 2,7 тис.21 годину тому
Discover the incredible power of Google AI Studio - Gemini Stream Realtime with these 5 mind-blowing real-world use cases! 🚀 In this video, I put Gemini AI to the test and reveal its strengths, challenges, and surprising capabilities. 📌 Here's what you'll see Google AI Studio helping with! 00:00 Google AI Studio Intro 01:28 Swing trading with Tesla stock 📈 06:15 Helping solve math problems 📐 08...
4 MUST have AI Research Tools: NotebookLM, Perplexity AI, Gemini Deep Research & Gamma AI
Переглядів 12 тис.14 днів тому
Comprehensive NotebookLM playlist - ua-cam.com/play/PL-HkokgcYrl5SrKYeVo28JA4OMPbslhA8.html 🚀 Transform your NotebookLM research and knowledge workflow with this in-depth guide to using these Perplexity AI, Google Deep Research and Gamma AI with NotebookLM. In this video, I reveal why Perplexity AI surprisingly outperforms Gemini Deep Research and show you exactly how to combine these tools wit...
10 Genius Hacks to Boost any AI Research with NotebookLM
Переглядів 23 тис.21 день тому
Free and Best AI Tool to level up your research and Content Creation - NotebookLM! From instantly digesting 100s of documents, videos, websites to multi-language research to AI podcast generation, these advanced tips will revolutionize how you can use this FREE AI TOOL to analyze information and create podcasts & content! These are exclusively researched Tips and Tricks you won't find elsewhere...
NotebookLM + Illuminate: You are MISSING this AI TOOL combo!
Переглядів 13 тис.28 днів тому
Get exclusively researched materials for NotebookLM : ua-cam.com/play/PL-HkokgcYrl5SrKYeVo28JA4OMPbslhA8.html 🎙️Master NotebookLM's and NotebookLM Plus research and podcast content creation capabilities! 🎙️Master Google Illuminate AI Audio Generation capabilities! 🎙️How to get 23 FREE podcasts daily in FREE plan (instead of just 3!) 🎙️Access 6 unique AI voices for your podcasts! 🎙️Create better...
Best AI tool for Podcasts? NotebookLM vs ElevenLabs Compared ($20 vs $99)
Переглядів 10 тис.Місяць тому
Full tutorials to become better than 99.9% users out there - ua-cam.com/play/PL-HkokgcYrl5SrKYeVo28JA4OMPbslhA8.html Compare 2 best AI Tools for podcast creation: NotebookLM and ElevenLabs in following categories! 🎯 Complete feature by feature Comparison and have AI test them! 00:00 Introduction 00:23 The Price Gap Shock 01:17 1.Data Sources 01:44 2.Multimodal features 02:59 3.Research capabili...
Do you need NotebookLM Plus? Features and Pricing Explained
Переглядів 2 тис.Місяць тому
NotebookLM Tutorial and use cases for Content Creation and Customer support! Full Play List : ua-cam.com/play/PL-HkokgcYrl5SrKYeVo28JA4OMPbslhA8.html Chapters: 0:00 Intro 1:19 NotebookLM December 24 Updates 1:51 Using NotebookLM for research 03:11 User Interface Tutorial 04:24 Model Tutorial 06:10 Pricing Tiers 07:06 NotebookLM Vs NotebookLM Plus 09:17 Interactive Audio References: blog.google/...
Sharing My Top 10 SECRET NotebookLM Podcast Prompts!
Переглядів 13 тис.Місяць тому
Full tutorials to become better than 99.9% users out there - ua-cam.com/play/PL-HkokgcYrl5SrKYeVo28JA4OMPbslhA8.html Best Podcast AI Tool NotebookLM and NotebookLM Plus is changing the game. So why settle for generic two-host chats? In this video, I'll reveal 10 secret prompts that will elevate your NotebookLM Podcast episodes to an entirely new level. From multilingual conversations to edgy, a...
NotebookLM Tutorial and use cases: From Zero to Hero in 17 mins!
Переглядів 20 тис.Місяць тому
Full tutorials to become better than 99.9% users out there - ua-cam.com/play/PL-HkokgcYrl5SrKYeVo28JA4OMPbslhA8.html This is a comprehensive NotebookLM guide to 10x your productivity. The best AI tool for research and content creation in 2025! I go from basics to advanced all in one video with 2 real world scenarios walked through thoroughly along with Notebook LM Podcast creation and demo. 1. ...
AI Predicts the FUTURE and You Won't Believe What Happens!
Переглядів 1822 місяці тому
AI News: Get ready for an exhilarating ride in this unedited and unfiltered AI News episode! An ChatGPT AI Journalist dives deep into a riveting interview with an advanced AI Agent, ChatGPT, tackling the most pressing question of our era: 'What happens if AI achieves consciousness?' This gripping exchange unearths the startling implications of AGI consciousness, delving into ethical conundrums,...
Perplexity: What Happens When You Combine AI with Shopping?
Переглядів 8412 місяці тому
AI updates : Perplexity AI just launched its most aggressive attack yet on Google's search empire. In an unprecedented move, they've combined AI shopping, GPT-powered chat, and web search into one powerful platform. Let's dive deep into what could be the biggest tech revolution of 2024. 🔍 Chapters: 0:00 - Intro 0:49 - Perplexity and Aravind's Background 2:00 - Shopping experience walkthrough 3:...
AI Dictionary for Beginners: 101 Terms You MUST KNOW!
Переглядів 8062 місяці тому
🎓 Learn AI Terms for beginners to Advanced with this simple Glossary of 101 terms in 50 mins This complete introduction to artificial intelligence makes complex AI concepts simple to understand. Progressive learning path from Beginner - Intermediate - Advanced ⏱️ Chapter Guide: 00:00 - Welcome & Introduction 01:02 - Level 1: Foundation Terms 09:20 - Level 2: Essential Concepts 17:13 - Level 3: ...
Excellent video! Thank you for putting this together.
Thank you for kind words!
This was well done and I thoroughly, enjoyed it!
Great video, well done.
You made a video using notebookLM, perplexity in your process would you recommend using notebookLM, Gemini Deep research and Deepseek? I make UA-cam documentaries so need to do deep dives on a person/subject to help me write the script - wondering what most efficient/accurate process will be
In my video, I compared Perplexity and Google Deep Research, and in-fact Perplexity was better. Given both Perplexity and Deep Research are paid options around $20, Perplexity had edge in my tests if you have to pick one. Now Perplexity also added DeepSeek and increased their daily query limits like crazy. But in either case, I strongly believe that just using web search + Summary Tool (Perplexity, Deep Research) alone won't be enough if you are particular about capturing specific information. You must do some manual research on top of {Research done by either Perplexity or Deep Research + All sources} using NotebookLM. That's where you can extract all information you need in the format you need, educate yourself on the topic before presenting it to the world. But if you are just happy with whatever script that these tools, come with then I personally preferred Perplexity!
@WinVault I will give you one more option in my next video ;)
Wow, this makes a lot of sense and clears up my confusion on this-thought there wasn’t as much transparency to work off of. Thanks for video, good observation on the response time of DeepThink (R1) comparatively to competitors as of now-still fairly good especially when considering the cost/effectiveness of this framework approach for their AI, but something to consider. And great editing.
Thank you so much for thoughtful comment! Yes Indeed, they have made this so much transparent that entire open-source community jumped on it and some people even have recreated the whole thing following their papers for much cheaper cost! But same time, Imagine - If Deepseek made it closed source and made it only available through their servers in China, Will anyone really touch that ;) I think it's a deliberate choice to make it open source and share all the techniques and papers. It's going to benefit them in the long run!
In making the presentation which is a great one BTW, is there any useful guidance of % data sources used eg 20% UA-cam, 10% paper, etc ?
So, the type of sources do not matter at all when it comes to the research output quality @tj6512. It can be anything, but the key is the quality of the sources. Once the source data are processed into NBLM they are all the same. I have couple of other videos on bringing best quality into NBLM using other tools like Perplexity, Deep Research. Only other exception I'm aware of is the way NBLM does OCR on PDF Vs Slides, that's also covered in my other top 10 tips video.
Great Presentation. I would like to get that prompt guide
Thank you! By this time the link to URL is everywhere :) ua-cam.com/play/PL-HkokgcYrl5SrKYeVo28JA4OMPbslhA8.html
Awesome, could you share the full notebook?
Sharing and retaining the whole notebook with everyone would be difficult, I could try sharing the sources and you could use the chrome extension to upload everything in one shot ?
@@The_AI_News9 your recommendation sounds interesting. What's the name of the Chrome extension used to upload the sources in bulk?
@ - I covered it in detail in my other 10 Tips video here - ua-cam.com/video/spj0n-bFKJo/v-deo.htmlsi=SeH_mZgZhJDS3GLw&t=47
@The_AI_News9 thanks!
You are amazing, as always. Thank you..
I have found Perplexity Pro with Deepseek R1 to produce far better results than alternative searches. Thanks for showing why!
🎯 Key points for quick navigation: 00:00 *🚀 Overview of DeepSeek and its Impact* - DeepSeek is shaking up the AI industry, showing significant potential and causing major financial shifts. - The company was founded recently by former hedge fund manager Liang Wifing. - DeepSeek's R1 model is noted for its cost-effectiveness and innovative training methods. 02:00 *💡 Training Innovations and Techniques* - DeepSeek utilizes pure reinforcement learning, which allows the AI to learn through experience rather than just being told correct answers. - Their training includes an “aha moment” where the model displays self-awareness during problem-solving. - The use of a hybrid approach combining reinforcement learning with supervised fine-tuning enhances output coherence. 05:00 *🔄 Four-Stage Training Process Explained* - The training process includes four stages that build a foundation for reasoning and problem-solving abilities. - The stages involve structured guidance, reinforcement learning, rejection sampling, and aligning the model with human preferences. - This methodical approach creates a highly capable and user-friendly AI model. 07:00 *⚙️ Efficiency and Cost-Effective Innovations* - DeepSeek employs Group Relative Policy Optimization and Mixture of Experts to ensure high efficiency in training. - These techniques allow the model to focus on specific tasks without over-utilizing resources. - This results in substantial cost savings, making powerful AI accessible for less. 09:00 *📦 Model Distillation and Portability* - The technique of distillation allows DeepSeek to transfer knowledge from a large model to smaller, more accessible versions. - This makes it feasible to run intelligent AI on everyday devices with limited resources. - Improvements in performance efficiency help decrease the required hardware size and cost. 10:30 *🧠 Advanced Reasoning and Hardware Choices* - DeepSeek implements chain of thought reasoning to enhance the model's analytical capabilities. - The choice of hardware, specifically less powerful GPUs, is supported by significant infrastructure optimizations. - R1's performance is competitive, despite using more modest technological resources. 11:30 *📊 Benchmarking and Industry Implications* - DeepSeek's R1 model has achieved impressive scores on various benchmarks, particularly in mathematics. - Its pricing is significantly lower than that of competitors like OpenAI, raising questions about industry investment strategies. - This shift could prompt reevaluation of hardware reliance and pricing strategies for established AI firms. 12:30 *⏳ Observations on Performance* - Despite cost benefits, DeepSeek R1's response time is slower compared to some current models. - This aspect may affect its practical applications, despite offering robust reasoning capabilities. - Balancing speed and cost-effectiveness is crucial for future development. Made with HARPA AI
Lovely use of NotebookLM and nice presentation. This works for me thanks. 🙏👍
Honestly the best Information about Notebook lm I've heard so far. Thanks for your work. Especially the extension is so valuable for me 🙏🏽
Glad I was able to help!
Great video, thank you. You have a nice balance between illustration and text. You voice has excellent enthusiasm and your sentences are concise. Is there a way for me to jump to any number? Could you list the definitions by number, name and link to the video?
@tonyosime9380 - Adding 100 chapters would have made the description really long, but I'll give that a try. That's a good Idea !
This is really bad on notebook lm with the images. Thank you for pointing it out. But it’s going to make my work so much harder. Hope they fix this.
Good guide.Thank you so much for these prompts - they are very helpful!
coloca seus vídeos para serem dublados amigos. o Brasil precisa de vc . put your videos to be dubbed friends. Brazil needs you
Point noted, thank you for feedback!
Wonderful video. I have watched a lot of videos about Notebook LM and did not hear these tips. I loved the tips about using Chrome extensions. If I create a knowledge base about a topic using these techniques how then do I share this knowledge base with my community?
ElevenLabs is costly crippleware for those building botcasts as a service. Read their terms of service. Ergo, I don't know why but this fella is avoiding discussing the serious fundamentals.
Thank you for your comment & feedback!
Iluminate output is flat and boring compared to the personable notebook output. Different voices do not change this and the three podcast per day limit only applies to projects you leave on their server. Ergo this fella's comments are not all that useful.
Thank you for your comment & feedback!
Is there a way to get it to do just one female solo voice? I used your prompt for female instead of male but it still came out male.
Unfortunately, we don't have solution for this problem yet! Hopefully Google gives that option in the near future!
cool! Thank you. Can you share the prompt you used for notebook lm keep the references at the end of the answer?
You can add this line to the end of your prompt - "Add a reference section in your response as a numbered list matching the references in your response". LLMs are non-deterministic, so feel free to use this as an example and tweak it if it doesn't produce exactly what you are looking for!
@@The_AI_News9 Thank you
So few resources on this topic. Very helpful; thanks.
Really interesting about the Google slides ocr vs pdf. That is a super helpful tip! Did you convert the pdf to Google slide format in one go? I ask because conversions from pdf to other formats often have a lot of data lost and reformatted. Great video thank you!
I believe I converted PDF to JPEGS to Slides to preserve as much as possible. OCR on slides is pretty good from NBLM processing, so I think we should be good!
@ Again, so helpful. Thank you!
how did you get to perplexity gives you a lot of sources? Whan i try it gives me like 10 sourcers being pro
I didn’t do anything special honestly. But I can confirm that each time I turn off the “Pro” toggle off, it gets about 10 sources and when I turn it ON, I get a lot!!
**Data Curation** - Effective research starts with a solid foundation, which involves gathering relevant sources like websites, documents, and videos. - NotebookLM is a powerful tool for data organization, but its effectiveness is contingent on the quality of the sources provided. - Using AI-powered search engines like Perplexity and Google Deep Research can significantly streamline the process of collecting high-quality materials. **AI Tools for Research** - Perplexity excels in understanding user needs, compiling research from multiple websites, and providing citations, although sometimes those citations may not appear in the final summary. - Google Deep Research acts similarly to a human researcher, digging deeper into web pages and following links to gather comprehensive data, albeit at a slower pace than Perplexity. - Both tools can serve as valuable assistants in preliminary research, but they lack the nuance of human judgment, necessitating manual verification of the gathered information. **Transforming Research into Presentations** - Once data is compiled, NotebookLM can convert research into professional presentations quickly, allowing users to create structured slides with detailed speaker notes. - Gamma AI enhances this process by offering various options for presentation creation, including pasting in text, generating content, or importing existing documents. - The AI capabilities of Gamma include automatic content splitting, layout adjustments, and image generation, resulting in visually coherent and professional presentations. **Comparative Analysis of AI Tools** - Both Perplexity and Google Deep Research have their strengths; Perplexity tends to deliver faster and broader results while Google provides a more detailed, albeit slower, research output. - Users should be cautious as Google Deep Research's outputs from recent years might not be applicable for all research contexts, especially rapidly evolving fields like fintech. - Cost considerations reveal Perplexity offers a free basic version, while Google Deep Research is part of a paid subscription, making it essential for users to weigh the benefits against potential expenses. **Finalizing Research Outputs** - Organizing research into smaller, manageable chunks improves accuracy and reduces errors, especially when using AI tools to assist with data gathering. - Maintaining a critical eye on the data quality from AI tools ensures that final outputs are reliable and fact-checked. - The final presentation should encapsulate essential findings while providing depth through speaker notes, ensuring a comprehensive understanding of the research topic.
about perplexity sources, you can directly upload. i know it isnt the best but it is something
I can't thank you enough ❤
I tried podcast for Hindi language using method you told ..I got website and summary in Hindi ..but podcast is generating in English....Any way to read out loud option to hear the summary instead of reading long paragraphs?
I believe Google doesn't have official support for many languages and Hindi is one of those. We are able to hack through prompts and get other languages like Spanish, German etc., But unfortunately Hindi is not one of those I have made it work. But let's keep trying different prompts!
Thank for sharing
You are really genius...
Very kind words, thank you!
This is the best video... especially I like how to remove language barriers... please share such magics...
Video is great!! I installed WebSync full site importer extension but it does nothing. What could I be doing wrong? It seems simple but....???? I go to a UA-cam video list and try to import but nothing happens.
I believe it imports only from the play list. Please click on a play list and use the extension when you are inside a play list!
@@The_AI_News9 I've tried a few UA-cam play lists. The extension appears to start working and says "Starting to Crawling" but nothing happens within NotebookLM.
You have done all the work testing and improving the default podcast, you achieved amazing results. THANK YOU!
Love it! This will make my custom podcasts so much more enjoyable and to the point!
Awesome
Amazing! Thank You!
Thank you too!
And the images you generated for the presentation screams AI, and I suspect that investors who are generally very smart and skeptical people, would also assume that your presentation itself was AI generated. That reduces your credibility and also implies that you have not been doing your homework. As an investor I would immediately ask you hard questions about your methodology and how you reached your conclusions etc. if you cheat and don’t do your homework, you will be caught out. And no cigar for you.
@Mr.Monta77 - Thank you for your constructive feedback. The goal of using AI tools is not to cheat or take short cuts in life. It's all about improving speed and efficiency. If we have to cheat then we could've simply used the research done by Perplexity or Google Deep Research. That'll be cheating ourselves. Hope you watched this part ua-cam.com/video/mReOoe8Ou3A/v-deo.htmlsi=Vei1S0QZ1lrvq3YI&t=249 where I called this out exactly. Using NotebookLM means, you have access to 100s of sources at your fingertips and you can interact with them to get answers to your questions and collect the data points you need to support your hypothesis. You can do all of these in less time using AI Compared to manual research. Of course, Gamma AI images can be improved :) Always remember: "AI will not take your job, But the person who knows how to use AI will!"
I never had a limit on the audio generations 😮
Google might be rolling out these changes. If you are in free plan, it will become 3 :) support.google.com/notebooklm/answer/15678219?sjid=9595575708425202127-NC&visit_id=638697544924377600-2451215312&p=plus&rd=1
@The_AI_News9 Wow, 3 is nothing. Thats insane.
🫡
I guess most or even all of these require notebooklm's pay-to-play version?
Audio overview customization is also available in the free version @QuizmasterLaw.
It helped me a lot, even for my native language, which is Spanish. Thank you!!!
Glad it helped, that’s my goal!!!
Thanks for this @The_AI_News9 Sadly Illuminate isn't open to all right now. I just tried to access from London, UK and had to join the waitlist. Just scanning the comments and it appears I'm not the only one.
Finally someone tackled this riddle brilliantly! Thank you😀
Thanks for stopping by George!
Is the best workflow (for the most up to date information generation) using NotebookLM to have a library or agreggation of resources in a file inside of google drive and bulk upload (after updated)?
As of today, aggregating all your source information into Google Docs/Slids would be best choice as you can easily sync the docs changes into NBLM with the click of a button whenever you update the docs with additional information (I showed that sync option in multiple of my videos). All other sources have to be manually deleted and added again if something changes in sources. But it's not practical to have sources only in Docs so you have to strike the right balance to combine multiple data sources.
I’ve been one of your early followers, your videos are so helpful. I know that you will become viral one day 🙏. Thank you.
Very kind of you to say that @RRSRiddlers !
The most comprehensive NotebookLM playlist on the web ! - ua-cam.com/play/PL-HkokgcYrl5SrKYeVo28JA4OMPbslhA8.html Please help grow this small channel and community! Spread the word by sharing the playlist, Leave your comments, Contribute and learn from others through comments! Please consider subscribing if you found the content useful - www.youtube.com/@The_AI_News9/?sub_confirmation=1 !
The most comprehensive NotebookLM playlist on the web ! - ua-cam.com/play/PL-HkokgcYrl5SrKYeVo28JA4OMPbslhA8.html Please help grow this small channel and community! Spread the word by sharing the playlist, Leave your comments, Contribute and learn from others through comments! Please consider subscribing if you found the content useful - www.youtube.com/@The_AI_News9/?sub_confirmation=1 !
The most comprehensive NotebookLM playlist on the web ! - ua-cam.com/play/PL-HkokgcYrl5SrKYeVo28JA4OMPbslhA8.html Please help grow this small channel and community! Spread the word by sharing the playlist, Leave your comments, Contribute and learn from others through comments! Please consider subscribing if you found the content useful - www.youtube.com/@The_AI_News9/?sub_confirmation=1 !