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AI for Content Creation

AI tools for writing, video editing, and content creation workflows.

30 items in this collection
7
Introduction to Gradient Descent | How Models Minimize Loss

Introduction to Gradient Descent | How Models Minimize Loss

In this video, Varun sir will break down Gradient Descent—one of the most important algorithms in machine learning—in the simplest way possible. Whether you're a beginner in AI, Machine Learning, or Deep Learning, this video will give you a strong foundation to understand how models improve over time. #cnn #ann #deeplearning #neuralnetworks -------------------------------------------------------------------------------------------------------------------------------------- Timestamps: 00:00 – Introduction 00:25 – What is Loss Function? 01:35 – Types of Gradient Descent 05:16 – Gradient Descent Formula 07:23 – Derivative Calculation -------------------------------------------------------------------------------------------------------------------------------------- 👉Subscribe to our new channel:https://www.youtube.com/@varunainashots Subject-wise playlist Links: -------------------------------------------------------------------------------------------------------------------------------------- ►Design and Analysis of algorithms (DAA): https://www.youtube.com/playlist?list=PLxCzCOWd7aiHcmS4i14bI0VrMbZTUvlTa ►Software Engineering (Complete Playlist): https://www.youtube.com/playlist?list=PLxCzCOWd7aiEed7SKZBnC6ypFDWYLRvB2 ►Database Management System: https://www.youtube.com/playlist?list=PLxCzCOWd7aiFAN6I8CuViBuCdJgiOkT2Y ►Cloud Computing: https://www.youtube.com/playlist?list=PLxCzCOWd7aiHRHVUtR-O52MsrdUSrzuy4 ► Theory of Computation https://www.youtube.com/playlist?list=PLxCzCOWd7aiFM9Lj5G9G_76adtyb4ef7i ►Artificial Intelligence: https://www.youtube.com/playlist?list=PLxCzCOWd7aiHGhOHV-nwb0HR5US5GFKFI ►Computer Networks (Complete Playlist): https://www.youtube.com/playlist?list=PLxCzCOWd7aiGFBD2-2joCpWOLUrDLvVV_ ►Operating System: https://www.youtube.com/playlist?list=PLxCzCOWd7aiGz9donHRrE9I3Mwn6XdP8p ►Structured Query Language (SQL): https://www.youtube.com/playlist?list=PLxCzCOWd7aiHqU4HKL7-SITyuSIcD93id ►Discrete Mathematics: https://www.youtube.com/playlis

8
Where To Access SeeDance 2 - Updated Guide With Tips And Tricks

Where To Access SeeDance 2 - Updated Guide With Tips And Tricks

If you were wondering Where to access Seedance 2 here is the guide 00:00 – Access Sora Globally 00:56 – Understanding Video Pricing 01:52 – Funding Your Account 02:48 – Checking Generated Clips 03:44 – Removing Video Watermarks 04:40 – Using Reference Inputs 05:36 – Structuring Better Prompts 06:32 – Timeline Prompt Breakdown 07:28 – Building Prompt Sequences 08:24 – Knowing Model Limits 🌐Subscribe To My Newsletter - https://aigrid.beehiiv.com/subscribe Get your Free AGI Preparedness Guide - https://theaigrid.kit.com/agi 🎓 Learn AI In 10 Minutes A Day - https://www.skool.com/theaigridacademy 🐤 Follow Me on Twitter https://twitter.com/TheAiGrid Links From Todays Video: https://piapi.ai/seedance-2-0 Welcome to my channel where i bring you the latest breakthroughs in AI. From deep learning to robotics, i cover it all. My videos offer valuable insights and perspectives that will expand your knowledge and understanding of this rapidly evolving field. Be sure to subscribe and stay updated on my latest videos. Was there anything i missed? (For Sponsorship Enquiries) aigrid@faiz.mov (Contact Me Direclty - contact@thaigrid.com Music Used LEMMiNO - Cipher https://www.youtube.com/watch?v=b0q5PR1xpA0 CC BY-SA 4.0 LEMMiNO - Encounters https://www.youtube.com/watch?v=xdwWCl_5x2s #LLM #Largelanguagemodel #chatgpt #AI #ArtificialIntelligence #MachineLearning #DeepLearning #NeuralNetworks #Robotics #DataScience

9
What is Sequence Data, Types & Models with Real life examples

What is Sequence Data, Types & Models with Real life examples

In this video,Varun sir will break down the concept of Sequence Data & Models in Convolutional Neural Networks (CNNs) in the simplest way possible. This video is perfect for B.Tech / M.Tech / CS students, GATE / UGC NET aspirants, Beginners in AI & Machine Learning and anyone struggling with Deep Learning concepts. #cnn #ann #deeplearning #neuralnetworks -------------------------------------------------------------------------------------------------------------------------------------- Timestamps: 00:00 – Introduction to Sequence Data 00:34 – What is Sequence Data? 01:20 – Types of Sequence Data 05:31 – Types of RNN -------------------------------------------------------------------------------------------------------------------------------------- 👉Subscribe to our new channel:https://www.youtube.com/@varunainashots Subject-wise playlist Links: -------------------------------------------------------------------------------------------------------------------------------------- ►Design and Analysis of algorithms (DAA): https://www.youtube.com/playlist?list=PLxCzCOWd7aiHcmS4i14bI0VrMbZTUvlTa ►Software Engineering (Complete Playlist): https://www.youtube.com/playlist?list=PLxCzCOWd7aiEed7SKZBnC6ypFDWYLRvB2 ►Database Management System: https://www.youtube.com/playlist?list=PLxCzCOWd7aiFAN6I8CuViBuCdJgiOkT2Y ►Cloud Computing: https://www.youtube.com/playlist?list=PLxCzCOWd7aiHRHVUtR-O52MsrdUSrzuy4 ► Theory of Computation https://www.youtube.com/playlist?list=PLxCzCOWd7aiFM9Lj5G9G_76adtyb4ef7i ►Artificial Intelligence: https://www.youtube.com/playlist?list=PLxCzCOWd7aiHGhOHV-nwb0HR5US5GFKFI ►Computer Networks (Complete Playlist): https://www.youtube.com/playlist?list=PLxCzCOWd7aiGFBD2-2joCpWOLUrDLvVV_ ►Operating System: https://www.youtube.com/playlist?list=PLxCzCOWd7aiGz9donHRrE9I3Mwn6XdP8p ►Structured Query Language (SQL): https://www.youtube.com/playlist?list=PLxCzCOWd7aiHqU4HKL7-SITyuSIcD93id ►Discrete Mathematics: https://www.youtube.com/playlist?list=PLxCzCO

14
Edit ANY AI Image With This JSON Trick | Gemini Nano Banana 2

Edit ANY AI Image With This JSON Trick | Gemini Nano Banana 2

The Nano Banana JSON Trick for Perfect AI Images — Edit Text, Swap Objects & Clone Photography Styles in Gemini (FREE) Stop regenerating your AI images over and over. In this video, I'll show you the one JSON trick in Google Gemini that gives you surgical control over any AI-generated image. Whether you need to fix text on an infographic, swap an object in a scene, or clone a real photography style — this method keeps everything else perfectly intact. This works on the FREE version of Gemini using the Nano Banana image model. No paid plan required. 🔹 What you'll learn: — How to extract structured JSON data from any AI image — Edit text on infographics without changing the design — Swap objects in a scene while keeping the art style consistent — Clone real photography styles (lens, lighting, color grading) onto any subject — Let Gemini rewrite the JSON for you using plain English — Translate infographic text into any language instantly ⏱️ Timestamps: 0:00 — The Hook 0:40 — What is JSON and Why It Matters 1:30 — Edit Text on Any Infographic 4:00 — Swap Objects Without Breaking the Style 6:00 — Clone Any Photography Style 8:00 — Recap and Outro 📋 Key Prompts from This Video: Extract JSON: "Extract all the visual information from this image, including all text content, and format it as a structured JSON file." Regenerate from JSON: "Generate a new image using this JSON data." Photography Style Clone: "Describe the photography techniques in this image in JSON format." Apply Photo Style: "Generate a photo of this subject based on the following JSON file." 🔗 Resources: — Google Gemini (free): https://gemini.google.com — Nano Banana info: https://blog.google/innovation-and-ai/technology/ai/nano-banana-2/

17
GPT 5.4 Is Leaking in Pro Accounts — And It's a BEAST!

GPT 5.4 Is Leaking in Pro Accounts — And It's a BEAST!

OpenAI quietly released GPT 5.3 Instant — their "fix" for ChatGPT being cringe and preachy. I tested it, compared it to Claude Sonnet 4.6, and then discovered something way bigger: GPT 5.4 is already leaking in ChatGPT Pro accounts, and the outputs are genuinely nuts. Flight combat sims, 3D voxel worlds, insane SVG art — all from single prompts. Plus, Qwen 3.5 is here and running on phones for free. Check out Box AI — sponsor of today's video: https://www.box.com/ai?utm_source=youtube&utm_medium=paidinfluencer&utm_theme=icm&utm_campaign=FY27_Q1_MattVidPro_Feb27 Matt Wolf's coverage on the recent AI controversy - Latest: https://youtu.be/_CIL2g1oMSQ?si=ZqiLsD4N_71ssa9O&t=966 Initial: https://www.youtube.com/watch?v=JSetfLwM5sI ▼ Link(s) From Today’s Video: GPT 5.3: https://x.com/OpenAI/status/2028893701427302559 Chubby 5.4 & Lisan: https://x.com/kimmonismus/status/2028783243311407531 https://x.com/scaling01/status/2028806282254114951 Angel shares can's post: https://x.com/Angaisb_/status/2028630896836817210 can's original post: https://x.com/marmaduke091/status/2028604854143176958 Bijan's Dogfight demo: https://x.com/Ominousind/status/2028813851509039384 Insane Minecraft SVG: https://x.com/EthanLipnik/status/2028742967473955237 Shaun Ralston's SF SVG: https://x.com/shaunralston/status/2028703722726150589 Cheta A&B testing: https://x.com/chetaslua/status/2028773840114057627 Adrien Qwen 3.5 on iphone: https://x.com/adrgrondin/status/2028568689709084919 Locally AI App: https://apps.apple.com/us/app/locally-ai-local-ai-chat/id6741426692 Qwen 3.5: https://qwen.ai/blog?id=qwen3.5 MattVidPro Discord: https://discord.gg/mattvidpro Follow Me on Twitter: https://twitter.com/MattVidPro Buy me a Coffee! https://buymeacoffee.com/mattvidpro ▼ Extra Links of Interest: General AI Playlist: https://www.youtube.com/playlist?list=PLrfI66qWYbW3acrBQ4qltDBsjxaoGSl3I Instagram: instagram.com/mattvidpro Tiktok: tiktok.com/@mattvidpro Gaming & Extras Channel: https://www.youtube.com/@MattV

21
No music skills: I tried making a song with Mureka

No music skills: I tried making a song with Mureka

# Mureka AI V8 - Complete AI Music Generator Tutorial | Lyrics, Vocals, Logic Pro Integration https://www.mureka.ai/?utm_source=rewardful&via=ebe537 Create professional studio-quality music with AI from start to finish. No music theory required. Mureka AI V8 just released with revolutionary MusiCoT technology that composes like a human musician - planning structure first, then filling in details. ## What You'll Learn In this complete tutorial, I'll show you how to generate original songs, create custom vocals, export multi-track stems for professional editing in Logic Pro, and use advanced features like region editing and melody extension. ## ⏱️ Timestamps 0:00 - Introduction: AI-Generated Music Demo 1:14 - Step 1: Generate Lyrics with AI 1:51 - Step 2: Style Selection & Voice Settings 2:07 - Creating Your First Song 2:16 - Results & Quality Check 2:44 - Feature 2: Custom Voice References 3:14 - Using Any Voice as Singer 3:48 - Vocal Reference Demo 4:04 - Song Generation with Custom Voice 4:21 - Feature 3: Multi-Track Stem Export 4:51 - Downloading Stems (Bass, Drums, Vocals, Instrumental) 5:03 - Importing to Logic Pro 5:40 - Editing Individual Tracks 6:01 - Advanced Music Editing Tools 6:17 - Region Editing Feature 6:34 - Extend & Trim Functions 6:40 - Final Thoughts & Use Cases ## 🎵 Key Features Covered **MusiCoT Technology:** - 70% improvement in vocal realism over previous versions - Plans musical structure globally, then fills details locally - Outperforms competitors in melody quality and emotional rendering **Complete Music Creation Suite:** • AI lyrics generator with verse/chorus/bridge structure • 100+ instrument library across all genres • Voice cloning from 30-60 second samples • Style matching from reference tracks or YouTube links • Multi-track stem export (bass, drums, vocals, instrumental, other) • Region-based editing for precise control • Song extension and trimming tools • Logic Pro / Ableton / FL Studio integration **Supported Languages

25
Titans: Learning to Memorize at Test Time (Paper Analysis)

Titans: Learning to Memorize at Test Time (Paper Analysis)

Paper: https://arxiv.org/abs/2501.00663 Abstract: Over more than a decade there has been an extensive research effort on how to effectively utilize recurrent models and attention. While recurrent models aim to compress the data into a fixed-size memory (called hidden state), attention allows attending to the entire context window, capturing the direct dependencies of all tokens. This more accurate modeling of dependencies, however, comes with a quadratic cost, limiting the model to a fixed-length context. We present a new neural long-term memory module that learns to memorize historical context and helps attention to attend to the current context while utilizing long past information. We show that this neural memory has the advantage of fast parallelizable training while maintaining a fast inference. From a memory perspective, we argue that attention due to its limited context but accurate dependency modeling performs as a short-term memory, while neural memory due to its ability to memorize the data, acts as a long-term, more persistent, memory. Based on these two modules, we introduce a new family of architectures, called Titans, and present three variants to address how one can effectively incorporate memory into this architecture. Our experimental results on language modeling, common-sense reasoning, genomics, and time series tasks show that Titans are more effective than Transformers and recent modern linear recurrent models. They further can effectively scale to larger than 2M context window size with higher accuracy in needle-in-haystack tasks compared to baselines. Authors: Ali Behrouz, Peilin Zhong, Vahab Mirrokni Links: Homepage: https://ykilcher.com Merch: https://ykilcher.com/merch YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://ykilcher.com/discord LinkedIn: https://www.linkedin.com/in/ykilcher If you want to support me, the best thing to do is to share out the content :) If you want to suppor

29
Context Rot: How Increasing Input Tokens Impacts LLM Performance (Paper Analysis)

Context Rot: How Increasing Input Tokens Impacts LLM Performance (Paper Analysis)

Paper: https://research.trychroma.com/context-rot Abstract: Large Language Models (LLMs) are typically presumed to process context uniformly—that is, the model should handle the 10,000th token just as reliably as the 100th. However, in practice, this assumption does not hold. We observe that model performance varies significantly as input length changes, even on simple tasks. In this report, we evaluate 18 LLMs, including the state-of-the-art GPT-4.1, Claude 4, Gemini 2.5, and Qwen3 models. Our results reveal that models do not use their context uniformly; instead, their performance grows increasingly unreliable as input length grows. Authors: Kelly Hong, Anton Troynikov, Jeff Huber Links: Homepage: https://ykilcher.com Merch: https://ykilcher.com/merch YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://ykilcher.com/discord LinkedIn: https://www.linkedin.com/in/ykilcher If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://www.subscribestar.com/yannickilcher Patreon: https://www.patreon.com/yannickilcher Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n

30
Reinforcement Learning with Human Feedback (RLHF), Clearly Explained!!!

Reinforcement Learning with Human Feedback (RLHF), Clearly Explained!!!

Generative Large Language Models, like ChatGPT and DeepSeek, are trained on massive text based datasets, like the entire Wikipedia. However, this training alone fails to teach the models how to generate polite and useful responses to your prompts. Thus, LLMs rely on Supervised Fine-Tuning and Reinforcement Learning with Human Feedback (RLHF) to align the models to how we actually want to use them. This StatQuest explains every step in training an LLM, with special attention to how RLHF is done. NOTE: This video is based on the original manuscript for Instruct-GPT: https://arxiv.org/abs/2203.02155 Also, you should check out Serrano Academy if you can: https://www.youtube.com/@SerranoAcademy If you'd like to support StatQuest, please consider... Patreon: https://www.patreon.com/statquest ...or... YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join ...buying a book, a study guide, a t-shirt or hoodie, or a song from the StatQuest store... https://statquest.org/statquest-store/ ...or just donating to StatQuest! paypal: https://www.paypal.me/statquest venmo: @JoshStarmer Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: https://twitter.com/joshuastarmer 0:00 Awesome song and introduction 2:25 Pre-Training an LLM 5:06 Supervised Fine-Tuning 7:35 Reinforcement Learning with Human Feedback (RLHF) 10:07 RLHF - training the reward model 15:02 RLHF - using the reward model #StatQuest

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