Lightning AI是一个使用PyTorch进行AI模型训练、部署和构建的平台。它以其快速的性能而闻名,并由PyTorch Lightning的创作者开发。
要使用Lightning AI,您可以在网站上创建一个账户。登录后,您可以上传您的数据集,使用PyTorch定义模型架构,并轻松训练您的AI模型。该平台提供了一个用户友好的界面来管理您的训练过程和监控模型性能。
这个是 Lightning AI Discord的链接: https://discord.gg/MWAEvnC5fU. 更多 Discord 信息, 请点击 discord链接(/zh/discord/mwaevnc5fu).
Lightning AI 公司名字: Lightning AI .
Lightning AI 登录链接: https://lightning.ai/
Lightning AI Youtube链接: https://www.youtube.com/c/PyTorchLightning
Lightning AI Linkedin链接: https://www.linkedin.com/company/pytorch-lightning/
Lightning AI Twitter链接: https://twitter.com/LightningAI
社交媒体聆听
Meet Studio | Turn ideas into AI, Lightning Fast | from Lightning AI Creators of PyTorch Lightning
Code together. Prototype. Train. Deploy. Host AI web apps. From your browser - with zero setup. Visit Lightning.ai to get started and launch a free Studio. Free GPU hours. Pay-as-you-go. No credit card. Join our Discord to participate in the discussion: https://discord.gg/zYcT6Yk9kw
The RIGHT WAY To Build AI Agents with CrewAI (BONUS: 100% Local)
This is the "golden path" for building AI Agents using CrewAI. If you follow this template, you'll be set up to use all upcoming features with CrewAI, such as an automatically created API for your agents. Enjoy :) CrewAI Lightning Studio: https://lightning.ai/mberman84/studios/sour-sapphire-39pg~01hnzq5jpxqckky30rmwwz0r3q/ Cloud IDE, Fine-tuning, Inference, Data Management and more! Try Lightning AI Studio FREE Today: https://bit.ly/3uBiWO9 Be sure to check out Pinecone for all your Vector DB needs: https://www.pinecone.io/ Join My Newsletter for Regular AI Updates 👇🏼 https://www.matthewberman.com/ Need AI Consulting? ✅ https://forwardfuture.ai/ My Links 🔗 👉🏻 Subscribe: https://www.youtube.com/@matthew_berman 👉🏻 Twitter: https://twitter.com/matthewberman 👉🏻 Discord: https://discord.gg/xxysSXBxFW 👉🏻 Patreon: https://patreon.com/MatthewBerman Media/Sponsorship Inquiries 📈 https://bit.ly/44TC45V Disclosures I'm an investor in CrewAI
Developing an LLM: Building, Training, Finetuning
REFERENCES: 1. Build an LLM from Scratch book: https://amzn.to/4fqvn0D 2. Build an LLM from Scratch repo: https://github.com/rasbt/LLMs-from-scratch 3. Slides: https://sebastianraschka.com/pdf/slides/2024-build-llms.pdf 4. LitGPT: https://github.com/Lightning-AI/litgpt 5. TinyLlama pretraining: https://lightning.ai/lightning-ai/studios/pretrain-llms-tinyllama-1-1b DESCRIPTION: This video provides an overview of the three stages of developing an LLM: Building, Training, and Finetuning. The focus is on explaining how LLMs work by describing how each step works. --- To support this channel, please consider purchasing a copy of my books: https://sebastianraschka.com/books/ --- https://twitter.com/rasbt https://linkedin.com/in/sebastianraschka/ https://magazine.sebastianraschka.com --- OUTLINE: 00:00 – Using LLMs 02:50 – The stages of developing an LLM 05:26 – The dataset 10:15 – Generating multi-word outputs 12:30 – Tokenization 15:35 – Pretraining datasets 21:53 – LLM architecture 27:20 – Pretraining 35:21 – Classification finetuning 39:48 – Instruction finetuning 43:06 – Preference finetuning 46:04 – Evaluating LLMs 53:59 – Pretraining & finetuning rules of thumb
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