Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

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_pachaar's profile picture

Akshay 🚀

279,244 subscribers

101,598 görüntüleme • 1 yıl önce •via X (Twitter)

MüzikBilim & TeknolojiEğitim
LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

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!
0:17

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 görüntüleme • 1 yıl önce

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 🌟
0:11

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 görüntüleme • 1 yıl önce

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.
0:20

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

327,766 görüntüleme • 2 yıl önce

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
0:19

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 görüntüleme • 1 yıl önce

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.
0:19

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 görüntüleme • 4 ay önce

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 👀
0:16

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 görüntüleme • 9 ay önce

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? 🧵
0:14

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 görüntüleme • 10 ay önce

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👇
0:17

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

66,979 görüntüleme • 11 ay önce

⚡ 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
0:13

⚡ 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

24,160 görüntüleme • 10 gün önce

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.
0:16

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 görüntüleme • 1 yıl önce

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 🔧 🧵👇
0:14

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

166,119 görüntüleme • 2 yıl önce

📚 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
0:10

📚 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 görüntüleme • 8 ay önce

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!
0:13

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

77,023 görüntüleme • 1 yıl önce

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 →
0:18

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 görüntüleme • 3 yıl önce

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.
0:17

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 görüntüleme • 1 yıl önce

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
0:19

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

269,657 görüntüleme • 3 ay önce

Introducing WELLAIOS: A revolutionary Open source AI Agent development framework and launchpad on Solana WELLAIOS empowers you to create, tokenize, and trade advanced AI agents on the Solana blockchain. Built by our team of AI professionals, our platform combines a sophisticated open-source framework with multi-modal AI technology, bringing character creation and storytelling to life without having to write a single line of code. Create intelligent digital characters that evolve, interact, and generate content through our library of AI agents. Each character becomes a unique asset equipped with a large set of AI tools on the Solana blockchain. For developers and creators: Join our thriving ecosystem where innovation meets rewards. Build plugins, contribute to our open-source framework, and earn as your creations shape the future. 👀 Sneak Peek: Watch our 3D AI agent capabilities showcase for content creation. Coming soon to Solana. Follow us on X for exclusive updates and be part of the revolution.
0:18

Introducing WELLAIOS: A revolutionary Open source AI Agent development framework and launchpad on Solana WELLAIOS empowers you to create, tokenize, and trade advanced AI agents on the Solana blockchain. Built by our team of AI professionals, our platform combines a sophisticated open-source framework with multi-modal AI technology, bringing character creation and storytelling to life without having to write a single line of code. Create intelligent digital characters that evolve, interact, and generate content through our library of AI agents. Each character becomes a unique asset equipped with a large set of AI tools on the Solana blockchain. For developers and creators: Join our thriving ecosystem where innovation meets rewards. Build plugins, contribute to our open-source framework, and earn as your creations shape the future. 👀 Sneak Peek: Watch our 3D AI agent capabilities showcase for content creation. Coming soon to Solana. Follow us on X for exclusive updates and be part of the revolution.

WELL3

10,503 görüntüleme • 1 yıl önce

This GitHub repo is gold for anyone using AI without paying a dime. A constantly updated list of 100% free LLM APIs that stay free forever. No expiring credits, no credit cards, no fine print. It covers Google AI Studio, Groq, Cerebras, OpenRouter, NVIDIA NIM, Mistral and dozens more, with exact rate limits and OpenAI SDK compatibility all in one place. 25k stars. Paste any endpoint straight into Cursor or Claude Code and start building without touching billing.
0:17

This GitHub repo is gold for anyone using AI without paying a dime. A constantly updated list of 100% free LLM APIs that stay free forever. No expiring credits, no credit cards, no fine print. It covers Google AI Studio, Groq, Cerebras, OpenRouter, NVIDIA NIM, Mistral and dozens more, with exact rate limits and OpenAI SDK compatibility all in one place. 25k stars. Paste any endpoint straight into Cursor or Claude Code and start building without touching billing.

0xMarioNawfal

100,858 görüntüleme • 10 gün önce

🚀 Early Access to Sahara AI Studio is NOW OPEN! The next phase of our testnet is here with exclusive early access to our all-in-one platform designed to transform the AI development lifecycle into a streamlined, integrated experience. Here’s everything you need to know 👇 AI development is fragmented. Devs juggle multiple tools, leading to inefficiencies & high costs. Sahara AI Studio integrates the entire AI lifecycle—from datasets & model training to secure storage & scalable compute—into one seamless experience: 📊 Data Hub: Discover, Manage, and Leverage AI-Ready Datasets Access high-quality, domain-specific, open-source and proprietary datasets through an integrated marketplace. Developers can download, import, or label datasets, making it easier to train and fine-tune models or deploy RAG pipelines. Secure uploads and seamless workflow integration enhance the experience. 🤖 Model Hub: Discover, Customize and Scale AI Workflows with Ease Discover ready-to-use open-source and proprietary models, RAG pipelines, and customizable workflows. Developers can deploy models quickly while maintaining privacy and security through Sahara Vaults. 🖥️ Compute Hub: Flexible, Scalable Compute Resources for AI Innovation Access scalable and secure computing resources tailored to diverse AI workloads. Trusted Execution Environment (TEE) capabilities ensure data privacy, while integration with top compute providers offer flexibility for developers. 🔐 Vaults: Secure Storage for AI Assets Securely store, organize, and manage datasets, models, and other assets in an encrypted central repository. Vaults offer scalability, reproducibility, and user control over AI resources. This is more than just beta testing a platform—it's your chance to help shape the future of decentralized AI development. 📅 How to Apply We're onboarding select developers in a phased approach. Early Access spots are limited, so apply now:
0:11

🚀 Early Access to Sahara AI Studio is NOW OPEN! The next phase of our testnet is here with exclusive early access to our all-in-one platform designed to transform the AI development lifecycle into a streamlined, integrated experience. Here’s everything you need to know 👇 AI development is fragmented. Devs juggle multiple tools, leading to inefficiencies & high costs. Sahara AI Studio integrates the entire AI lifecycle—from datasets & model training to secure storage & scalable compute—into one seamless experience: 📊 Data Hub: Discover, Manage, and Leverage AI-Ready Datasets Access high-quality, domain-specific, open-source and proprietary datasets through an integrated marketplace. Developers can download, import, or label datasets, making it easier to train and fine-tune models or deploy RAG pipelines. Secure uploads and seamless workflow integration enhance the experience. 🤖 Model Hub: Discover, Customize and Scale AI Workflows with Ease Discover ready-to-use open-source and proprietary models, RAG pipelines, and customizable workflows. Developers can deploy models quickly while maintaining privacy and security through Sahara Vaults. 🖥️ Compute Hub: Flexible, Scalable Compute Resources for AI Innovation Access scalable and secure computing resources tailored to diverse AI workloads. Trusted Execution Environment (TEE) capabilities ensure data privacy, while integration with top compute providers offer flexibility for developers. 🔐 Vaults: Secure Storage for AI Assets Securely store, organize, and manage datasets, models, and other assets in an encrypted central repository. Vaults offer scalability, reproducibility, and user control over AI resources. This is more than just beta testing a platform—it's your chance to help shape the future of decentralized AI development. 📅 How to Apply We're onboarding select developers in a phased approach. Early Access spots are limited, so apply now:

Sahara AI 🔆

2,700,092 görüntüleme • 1 yıl önce

OpenClaw, but built for normal people. Sim is an open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code. They also have a built-in Copilot that generates entire workflows from plain English, which you can then tweak and customize in the UI. Key features: - Free and open-source (Apache 2.0) - Vector store integration for RAG-grounded agents - Self-host with one command (`npx simstudio`) - Run fully local with Ollama, no API keys needed - Supports vLLM for production-grade self-hosted inference The thing I really like about Sim is the level of control you get. You can add conditional branching, parallel execution, human-in-the-loop approval gates, and even nest workflows inside other workflows. Everything is visible on the canvas, so you know exactly what your agent is doing at every step. And you can build a workflow in Sim, deploy it as an MCP server, and plug it into any agent, including OpenClaw. I've shared the link to Sim's GitHub repo in the next tweet.
0:14

OpenClaw, but built for normal people. Sim is an open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code. They also have a built-in Copilot that generates entire workflows from plain English, which you can then tweak and customize in the UI. Key features: - Free and open-source (Apache 2.0) - Vector store integration for RAG-grounded agents - Self-host with one command (`npx simstudio`) - Run fully local with Ollama, no API keys needed - Supports vLLM for production-grade self-hosted inference The thing I really like about Sim is the level of control you get. You can add conditional branching, parallel execution, human-in-the-loop approval gates, and even nest workflows inside other workflows. Everything is visible on the canvas, so you know exactly what your agent is doing at every step. And you can build a workflow in Sim, deploy it as an MCP server, and plug it into any agent, including OpenClaw. I've shared the link to Sim's GitHub repo in the next tweet.

Akshay 🚀

52,426 görüntüleme • 4 ay önce