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Thanks to Microsoft for sponsoring this video! Submit your #CodingWithCopilot stories so I can review them! I'm excited to check out more!
Today I'll be showing you how to build local AI agents using Python. We'll be using Ollama, LangChain, and something called ChromaDB; to act as our vector search database. All of this will be local and free to run.
🎞 Video Resources 🎞
Code in this Video: https://github.com/techwithtim/LocalAIAgentWithRAG
Ollama Library: https://ollama.com/library
Download Ollama: https://ollama.com/
Virtual Environments Video: https://www.youtube.com/watch?v=Y21OR1OPC9A
Ollama Video: https://www.youtube.com/watch?v=UtSSMs6ObqY&t=1s
⏳ Timestamps ⏳
00:00 | Video Overview
00:34 | Project Demo
02:02 | Python Setup/Installation
04:33 | Ollama Setup
07:14 | GitHub Copilot
08:22 | Local LLM Usage
14:52 | Vector Store Database Setup
23:24 | Connecting LLM & Vector Store
#sponsored
In this video I show you 10 common Pytorch mistakes and by avoiding these you will save a lot time on debugging models. This was inspired by a tweet by Andrej Karpathy and that's why I said it was approved by him :)
Andrej Karpathy Tweet:
https://twitter.com/karpathy/s....tatus/10132443133276
People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9
GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning
✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson
❤️ Become a Channel Member:
https://www.youtube.com/channe....l/UCkzW5JSFwvKRjXABI
✅ One-Time Donations:
Paypal: https://bit.ly/3buoRYH
Ethereum: 0xc84008f43d2E0bC01d925CC35915CdE92c2e99dc
▶️ You Can Connect with me on:
Twitter - https://twitter.com/aladdinpersson
LinkedIn - https://www.linkedin.com/in/al....addin-persson-a95384
GitHub - https://github.com/aladdinpersson
PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf
OUTLINE:
0:00 - Introduction
0:21 - 1. Didn't overfit batch
2:45 - 2. Forgot toggle train/eval
4:47 - 3. Forgot .zero_grad()
6:15 - 4. Softmax when using CrossEntropy
8:09 - 5. Bias term with BatchNorm
9:54 - 6. Using view as permute
12:10 - 7. Incorrect Data Augmentation
14:19 - 8. Not Shuffling Data
15:28 - 9. Not Normalizing Data
17:28 - 10. Not Clipping Gradients
18:40 - Which ones did I miss?
In this video I show you how to set the seeds and what you need to do in order to obtain deterministic behavior from Pytorch (note this is not cross platforms). This is very useful when comparing changes you've made (to see that it actually does a difference) and debugging and so on!
People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9
GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning
✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson
❤️ Become a Channel Member:
https://www.youtube.com/channe....l/UCkzW5JSFwvKRjXABI
✅ One-Time Donations:
Paypal: https://bit.ly/3buoRYH
Ethereum: 0xc84008f43d2E0bC01d925CC35915CdE92c2e99dc
▶️ You Can Connect with me on:
Twitter - https://twitter.com/aladdinpersson
LinkedIn - https://www.linkedin.com/in/al....addin-persson-a95384
GitHub - https://github.com/aladdinpersson
PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf
Nikon Z 9による8K UHD/30p、H.265、10bit、N-logでの撮影動画を掲載します。
■主な使用機材
Nikon Z 9
NIKKOR Z 14-24mm f/2.8 S
NIKKOR Z 24-70mm f/2.8 S
NIKKOR Z 70-200mm f/2.8 VR S
NIKKOR Z 50mm f/1.2 S
NIKKOR Z 100-400mm f/4.5-5.6 VR S
ARCREST NDフィルター ND8/ND16/ND32
■撮影
上田晃司(フォトグラファー/映像作家)
・コメント
Nikon Z 9の8K UHD/30pで上高地周辺を撮影した。Nikon Z 9とZレンズ群による美しいディテールの表現、立体感、シャープさを是非8Kで見ていただきたい。
8K収録時もすべてAF撮影を行い、シビアなピントが求められる8K撮影においても
Nikon Z 9のAFは答えてくれた。また、フォーカスブリージングの少なさにも是非注目してほしい。
ピントが自然に移動していくのでピントが動いていることすら感じない自然な表眼ができるのもNikon Z 9とZレンズのコンビネーションの良さと言えるだろう。
■Z 9 製品ページ #Z9
https://www.nikon-image.com/pr....oducts/mirrorless/li
■Z 9スペシャルコンテンツページ
https://www.nikon-image.com/sp/z9/
■Zマウントレンズ製品ページ #NIKKORZ
https://www.nikon-image.com/pr....oducts/nikkor/zmount
■レンズフィルター ARCREST製品ページ
https://www.nikon-image.com/pr....oducts/accessory/nik
===========
ニコン製品は公式オンラインショップの
ニコンダイレクトからご購入いただけます。
https://shop.nikon-image.com/?cid=JDONS01245
ニコンの製品情報など動画を公開しています。
チャンネル登録をお願いします。
■ニコンイメージングジャパン公式YouTubeチャンネル
https://www.youtube.com/user/NikonImagingJapan
■ニコン Facebookページ
https://www.facebook.com/NikonImagingJapan
■ニコンイメージングジャパン WEBページ
https://www.nikon-image.com
Want to learn more? View our Deep Learning vs. Machine Vision eBook: https://www.cognex.com/resources/white-papers-articles/whitepaperandarticlemain?event=1389055c-4adf-45b7-94a7-e129abe70f1d&cm_campid=11f0c9b4-8ce3-e911-916a-00505693004d
Detecting defects on parts was once a significant challenge for machine vision to solve. Cognex Deep Learning is a powerful, example-based solution that identifies complex anomalies quickly and reliably without the need for vision expertise to set up and deploy. See how manufacturers in the automotive, packaging, electronics, and other industries use deep learning-based machine vision to automate inspection tasks.
In-Sight D900 Deep Learning Vision System: https://www.cognex.com/product....s/deep-learning/in-s
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FOLLOW US ON:
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Twitter: https://twitter.com/Cognex_Corp
LinkedIn: https://www.linkedin.com/compa....ny/cognex-corporatio
Cognex Blogs: https://www.cognex.com/blogs
#deeplearning #manufacturing #automation
Casting graph neural networks (GNNs) within the Geometric Deep Learning blueprint, then demonstrating how we can use the blueprint to extend GNNs beyond the notion of permutation equivariance.
Guest Lecture at the Machine Learning with Graphs (CS224W) course, Stanford University, 30 November 2021
Slide deck: https://petar-v.com/talks/5G-CS224W.pdf