Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Transformers & LLMs cheatsheets for Stanford's CME-295! Covering tokenization, self-attention, prompting, fine-tuning, LLM-as-a-judge, RAG, AI Agents, and reasoning models. 100% free and open-source.

Akshay 🚀

279,244 subscribers

101,598 views • 1 year ago •via X (Twitter)

Music Science & Technology Education

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Check this!! A 100% open-source toolkit to work with LLMs. Transformer Lab is an app to experiment with LLMs: - Train, fine-tune, or chat. - One-click LLM download (DeepSeek, Gemma, etc.) - Drag-n-drop UI for RAG. - Built-in logging, and more. 100% local!

Check this!! A 100% open-source toolkit to work with LLMs. Transformer Lab is an app to experiment with LLMs: - Train, fine-tune, or chat. - One-click LLM download (DeepSeek, Gemma, etc.) - Drag-n-drop UI for RAG. - Built-in logging, and more. 100% local!

Avi Chawla

74,926 views • 1 year ago

Drag-and-drop UI to build AI agents! Langflow is a powerful visual tool for building and deploying AI-powered agents and workflows—without writing any code. Supports all major LLMs, vector DBs, etc. 100% open-source, 62k+ stars 🌟

Drag-and-drop UI to build AI agents! Langflow is a powerful visual tool for building and deploying AI-powered agents and workflows—without writing any code. Supports all major LLMs, vector DBs, etc. 100% open-source, 62k+ stars 🌟

Akshay 🚀

208,002 views • 1 year ago

Meet #DBRX: a general-purpose LLM that sets a new standard for efficient open source models. Use the DBRX model in your RAG apps or use the DBRX design to build your own custom LLMs and improve the quality of your GenAI applications.

Meet #DBRX: a general-purpose LLM that sets a new standard for efficient open source models. Use the DBRX model in your RAG apps or use the DBRX design to build your own custom LLMs and improve the quality of your GenAI applications.

Databricks

327,781 views • 2 years ago

A guy built a Pirate Bay for AI models. - Open-source and leaked AI models. - Models for coding, search, and translation. - AI agents ready to download. - OCR models for photos and documents. - Runs locally, no cloud, no subscriptions. -

A guy built a Pirate Bay for AI models. - Open-source and leaked AI models. - Models for coding, search, and translation. - AI agents ready to download. - OCR models for photos and documents. - Runs locally, no cloud, no subscriptions. -

Md Ismail Šojal 🕷️

24,000 views • 25 days ago

You can now use Figma for FREE with this tool. It's called Penpot. An open-source design tool that mirrors Figma's layout and workflow, free, self-hostable → MCP server lets AI agents edit your designs directly → Free Dev Mode with instant CSS, SVG, and HTML → Native design tokens keep design & code in sync → Real-time collaboration built in 100% Free. Open source.

You can now use Figma for FREE with this tool. It's called Penpot. An open-source design tool that mirrors Figma's layout and workflow, free, self-hostable → MCP server lets AI agents edit your designs directly → Free Dev Mode with instant CSS, SVG, and HTML → Native design tokens keep design & code in sync → Real-time collaboration built in 100% Free. Open source.

Simplifying AI

56,582 views • 24 days ago

THE BEST visual explainer of how information propagates through a transformer. If you want to have more than intuition about how the Transformer architecture is ruling the LLM world - open-source project explains everything about LLM Transformer Models! - A great resource for anyone looking to gain a deeper understanding of how Transformer-based AI models like GPT work, including: - Self-attention mechanisms - Encoder-decoder architecture - Positional encoding - Multi-head attention

THE BEST visual explainer of how information propagates through a transformer. If you want to have more than intuition about how the Transformer architecture is ruling the LLM world - open-source project explains everything about LLM Transformer Models! - A great resource for anyone looking to gain a deeper understanding of how Transformer-based AI models like GPT work, including: - Self-attention mechanisms - Encoder-decoder architecture - Positional encoding - Multi-head attention

Rohan Paul

106,897 views • 1 year ago

Claude Code got a massive open-source rival 🤯 This tool maps your entire codebase, automates terminal commands, and lets you use 500+ different AI models, including completely free ones. 100% Open-Source.

Claude Code got a massive open-source rival 🤯 This tool maps your entire codebase, automates terminal commands, and lets you use 500+ different AI models, including completely free ones. 100% Open-Source.

Alvaro Cintas

54,172 views • 4 months ago

Next week we're open sourcing Agent Builder - a visual n8n-style workflow builder for AI agents. Build AI agent workflows with a visual canvas by connecting , LLMs, logic nodes, and MCPs, then deploy as an API. Stay tuned for this one 👀

Next week we're open sourcing Agent Builder - a visual n8n-style workflow builder for AI agents. Build AI agent workflows with a visual canvas by connecting , LLMs, logic nodes, and MCPs, then deploy as an API. Stay tuned for this one 👀

Caleb Peffer (Hiring!)

251,825 views • 9 months ago

Fixing plastic AI generated skin is a $100k/month problem. Apps like Enhancor AI use open-source models and ComfyUI workflows as a backend. How do I know this? I built a workflow that clones their core feature and I'm dropping it below for FREE. Same results, no subscriptions. Use it yourself OR build your own app around it. Why pay for open-source tools? 🧵

Fixing plastic AI generated skin is a $100k/month problem. Apps like Enhancor AI use open-source models and ComfyUI workflows as a backend. How do I know this? I built a workflow that clones their core feature and I'm dropping it below for FREE. Same results, no subscriptions. Use it yourself OR build your own app around it. Why pay for open-source tools? 🧵

rob - comfyui

74,528 views • 11 months ago

You can now clone any website just by writing a prompt. Just paste the website URL and Al agents will instantly create a working clone you can build on top of. 100% open source with major AI models👇

You can now clone any website just by writing a prompt. Just paste the website URL and Al agents will instantly create a working clone you can build on top of. 100% open source with major AI models👇

Alvaro Cintas

67,032 views • 11 months ago

⚡ Launching as a Day-0 partner: Tencent Hy Hy3 is now available on OpenRouter. 🎉 Free through July 21. Built for real-world business scenarios, Hy3 delivers: 🧠 295B MoE (21B active) 📚 Native 256K context ⚙️ Three configurable reasoning modes 💻 Strong coding, reasoning & long-context capabilities 🤖 Optimized for agentic workflows Designed for productivity and real-world AI workflows, balancing reliability, efficiency, and cost at production scale. #Hy3 #LLM #Agents

⚡ Launching as a Day-0 partner: Tencent Hy Hy3 is now available on OpenRouter. 🎉 Free through July 21. Built for real-world business scenarios, Hy3 delivers: 🧠 295B MoE (21B active) 📚 Native 256K context ⚙️ Three configurable reasoning modes 💻 Strong coding, reasoning & long-context capabilities 🤖 Optimized for agentic workflows Designed for productivity and real-world AI workflows, balancing reliability, efficiency, and cost at production scale. #Hy3 #LLM #Agents

Novita AI

24,888 views • 1 month ago

SuiRWA is training its investment AI agents on extensive data, using neural networks for pattern recognition. They learn via supervised & unsupervised methods, with fine-tuning for market analysis, ensuring accuracy and minimizing bias. A revolution in investing might be here.

SuiRWA is training its investment AI agents on extensive data, using neural networks for pattern recognition. They learn via supervised & unsupervised methods, with fine-tuning for market analysis, ensuring accuracy and minimizing bias. A revolution in investing might be here.

Sui RWA

16,168 views • 1 year ago

Claude Cowork now has a free, 100% local competitor 🤯 Rowboat connects to your Gmail and meeting notes, builds a knowledge graph of your work, and acts on it. → Voice-enabled → Works with any LLM (local or hosted) → MCP tool extensibility → Background agents + web search → Obsidian-compatible Markdown vault 14.3k GitHub stars. 100% open-source.

Claude Cowork now has a free, 100% local competitor 🤯 Rowboat connects to your Gmail and meeting notes, builds a knowledge graph of your work, and acts on it. → Voice-enabled → Works with any LLM (local or hosted) → MCP tool extensibility → Background agents + web search → Obsidian-compatible Markdown vault 14.3k GitHub stars. 100% open-source.

Alvaro Cintas

42,472 views • 2 months ago

Introducing 𝗦𝘂𝗽𝗲𝗿 𝗝𝗦𝗢𝗡 𝗠𝗼𝗱𝗲, a framework for low latency structured output generation from LLMs. Generate JSON up to 𝟮𝟬𝘅 𝗳𝗮𝘀𝘁𝗲𝗿 from OpenAI and open source models. ❌ No need to threaten the model, tip the AI, etc ❌ Built with Alex Derhacobian 🔧 🧵👇

Introducing 𝗦𝘂𝗽𝗲𝗿 𝗝𝗦𝗢𝗡 𝗠𝗼𝗱𝗲, a framework for low latency structured output generation from LLMs. Generate JSON up to 𝟮𝟬𝘅 𝗳𝗮𝘀𝘁𝗲𝗿 from OpenAI and open source models. ❌ No need to threaten the model, tip the AI, etc ❌ Built with Alex Derhacobian 🔧 🧵👇

Varun Shenoy

166,167 views • 2 years ago

GOODBYE TO CYBERSECURITY! Someone just open-sourced an arsenal of AI hacking tools. Not one. Not ten. Hundreds. Inside the repository: • Jailbreak frameworks for LLMs • Prompt injection testing tools • AI red team agents • Model extraction utilities • Supply chain attack demos • Automated AI pentesting frameworks These are the same categories of tools security researchers use to find vulnerabilities before attackers do. Now anyone can study them. That's both exciting... and terrifying. The biggest threat to AI isn't smarter models. It's insecure ones. If you're building with LLMs and you're not actively testing your prompts, agents, and infrastructure— You're probably shipping vulnerabilities you don't even know exist. Open source is accelerating AI. It's also accelerating AI attacks. Repository link in the comments ↓

GOODBYE TO CYBERSECURITY! Someone just open-sourced an arsenal of AI hacking tools. Not one. Not ten. Hundreds. Inside the repository: • Jailbreak frameworks for LLMs • Prompt injection testing tools • AI red team agents • Model extraction utilities • Supply chain attack demos • Automated AI pentesting frameworks These are the same categories of tools security researchers use to find vulnerabilities before attackers do. Now anyone can study them. That's both exciting... and terrifying. The biggest threat to AI isn't smarter models. It's insecure ones. If you're building with LLMs and you're not actively testing your prompts, agents, and infrastructure— You're probably shipping vulnerabilities you don't even know exist. Open source is accelerating AI. It's also accelerating AI attacks. Repository link in the comments ↓

Shruti Codes

120,960 views • 12 days ago

📚 My 2nd book "𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐢𝐧𝐠 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈" is HERE! ✍ 180 illustrations 📖 319 pages 🔗 1200+ references 😖 When I explain LLMs to enterprises, I watched them struggle. 🔖 They need to understand transformers and fine-tuning—but they shouldn't have to read research papers! 🔥 Our book takes a different approach ↓ 🧠 Your brain processes images 60,000 times faster than text. We are explaining 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐀𝐈 𝐜𝐨𝐧𝐜𝐞𝐩𝐭𝐬 in Visuals. Each chapter: visual first, explanation second. No jargon. No assumed knowledge. ━━━━━━━━━━━━━━━━━ 𝐖𝐡𝐚𝐭'𝐬 𝐢𝐧𝐬𝐢𝐝𝐞: → How LLMs process language → Training vs fine-tuning vs RAG → Prompt engineering frameworks → Model evaluation methods → Production deployment patterns ━━━━━━━━━━━━━━━━━ This helps you avoid surface-level AI understanding. 🔖 Pre-order now at guaranteed lowest price: 📦 Paperback ships in 2 weeks ━━━━━━━━━━━━━━━━━ 𝐓𝐡𝐚𝐧𝐤 𝐲𝐨𝐮: @ValliappaLakshmanan for co-authoring through my wild ideas and schedule. O'Reilly Media and our illustrator Tanvi Agarwal | SillyStrokes for bringing these concepts to life. Every early reader who pushed me to make this clearer. #generativeai #genai #llms #aiengineering #aiagents

📚 My 2nd book "𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐢𝐧𝐠 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈" is HERE! ✍ 180 illustrations 📖 319 pages 🔗 1200+ references 😖 When I explain LLMs to enterprises, I watched them struggle. 🔖 They need to understand transformers and fine-tuning—but they shouldn't have to read research papers! 🔥 Our book takes a different approach ↓ 🧠 Your brain processes images 60,000 times faster than text. We are explaining 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐀𝐈 𝐜𝐨𝐧𝐜𝐞𝐩𝐭𝐬 in Visuals. Each chapter: visual first, explanation second. No jargon. No assumed knowledge. ━━━━━━━━━━━━━━━━━ 𝐖𝐡𝐚𝐭'𝐬 𝐢𝐧𝐬𝐢𝐝𝐞: → How LLMs process language → Training vs fine-tuning vs RAG → Prompt engineering frameworks → Model evaluation methods → Production deployment patterns ━━━━━━━━━━━━━━━━━ This helps you avoid surface-level AI understanding. 🔖 Pre-order now at guaranteed lowest price: 📦 Paperback ships in 2 weeks ━━━━━━━━━━━━━━━━━ 𝐓𝐡𝐚𝐧𝐤 𝐲𝐨𝐮: @ValliappaLakshmanan for co-authoring through my wild ideas and schedule. O'Reilly Media and our illustrator Tanvi Agarwal | SillyStrokes for bringing these concepts to life. Every early reader who pushed me to make this clearer. #generativeai #genai #llms #aiengineering #aiagents

Priyanka Vergadia

30,607 views • 9 months ago

Announcing PicMenu – a free & open source menu visualizer! It takes a restaurant menu picture and generates nice images for each dish, and works great for lots of non-english menus too. Powered by Llama 3.2 vision + Flux on Together AI & available today!

Announcing PicMenu – a free & open source menu visualizer! It takes a restaurant menu picture and generates nice images for each dish, and works great for lots of non-english menus too. Powered by Llama 3.2 vision + Flux on Together AI & available today!

Hassan

77,118 views • 1 year ago

Introducing Precedent – building blocks for your @Nextjs project. It's a collection of components, hooks, and utilities that I find myself reusing every time I start a new project. 100% free & open source →

Introducing Precedent – building blocks for your @Nextjs project. It's a collection of components, hooks, and utilities that I find myself reusing every time I start a new project. 100% free & open source →

Steven Tey

480,660 views • 3 years ago

Brilliant open-source tool from Anthropic Visualize internal LLM pathways through open attribution graphs. → Attribution graphs reveal which neurons and features drive each output token, turning the LLM’s black box into a clear map. They open-sourced a library that generates attribution graphs to trace how LLMs arrive at outputs. These graphs reveal internal activation flows and feature influences in popular open-weights models. 🧠 Attribution Graphs Graphs link model activations to output tokens. Nodes represent neurons or features. Edges show influence strength. Researchers inspect paths to see which components drive each decision. 🛠️ Toolchain and Frontend Circuit-tracer library works with models like Gemma-2-2b and Llama-3.2-1b. Demo notebooks illustrate multi-step reasoning examples. Neuronpedia hosts an interactive UI for graph exploration, annotation, and sharing. 🔍 Hypothesis Testing Users tweak feature values in graphs, regenerate outputs, and observe changes. This lets researchers validate whether specific circuits control behaviors like language translation or reasoning chains.

Brilliant open-source tool from Anthropic Visualize internal LLM pathways through open attribution graphs. → Attribution graphs reveal which neurons and features drive each output token, turning the LLM’s black box into a clear map. They open-sourced a library that generates attribution graphs to trace how LLMs arrive at outputs. These graphs reveal internal activation flows and feature influences in popular open-weights models. 🧠 Attribution Graphs Graphs link model activations to output tokens. Nodes represent neurons or features. Edges show influence strength. Researchers inspect paths to see which components drive each decision. 🛠️ Toolchain and Frontend Circuit-tracer library works with models like Gemma-2-2b and Llama-3.2-1b. Demo notebooks illustrate multi-step reasoning examples. Neuronpedia hosts an interactive UI for graph exploration, annotation, and sharing. 🔍 Hypothesis Testing Users tweak feature values in graphs, regenerate outputs, and observe changes. This lets researchers validate whether specific circuits control behaviors like language translation or reasoning chains.

Rohan Paul

27,197 views • 1 year ago

Gemma 4 is here! Our most intelligent open models to date, are built on the same world-class research and tech as Gemini 3, and are sized to run and fine-tune efficiently on local hardware. Check out what Google Gemma 4 brings to devs: 💎 Advanced Reasoning: Deep logic tasks, complex multi-step planning, and beyond 💎 Longer context: Seamlessly analyze entire codebases with context windows of 128K tokens for our edge models and 256K tokens for our largest models 💎 Vision and audio: Rich, multimodal interactions out of the box 💎 140+ languages: Trained on 140+ languages 💎 Apache 2.0 license: industry-standard open-source license

Gemma 4 is here! Our most intelligent open models to date, are built on the same world-class research and tech as Gemini 3, and are sized to run and fine-tune efficiently on local hardware. Check out what Google Gemma 4 brings to devs: 💎 Advanced Reasoning: Deep logic tasks, complex multi-step planning, and beyond 💎 Longer context: Seamlessly analyze entire codebases with context windows of 128K tokens for our edge models and 256K tokens for our largest models 💎 Vision and audio: Rich, multimodal interactions out of the box 💎 140+ languages: Trained on 140+ languages 💎 Apache 2.0 license: industry-standard open-source license

Google for Developers

269,912 views • 4 months ago