Python tutorials

  • https://www.thepythoncode.com/
  • https://github.com/x4nth055/pythoncode-tutorials
  • https://developers.google.com/machine-learning
  • https://github.com/explosion/spaCy
  • https://pypi.org/project/spacy
  • https://spacy.io/usage/spacy-101
  • https://realpython.com/natural-language-processing-spacy-python
  • https://github.com/mlfoundations/open_clip
  • https://microsoft.github.io/ML-For-Beginners
  • https://microsoft.github.io/Data-Science-For-Beginners
  • https://microsoft.github.io/AI-For-Beginners
  • https://microsoft.github.io/Web-Dev-For-Beginners

  • https://microsoft.github.io/IoT-For-Beginners

Face recognition

  • https://github.com/entbappy/Which-Bollywood-Celebrity-You-look-like
  • https://github.com/timesler/facenet-pytorch
  • https://github.com/nyoki-mtl/keras-facenet
  • https://www.kaggle.com/code/yhuan95/face-recognition-with-facenet
  • https://docs.opencv.org/4.x/d0/dd4/tutorial_dnn_face.html
  • https://machinelearningmastery.com/how-to-develop-a-face-recognition-system-using-facenet-in-keras-and-an-svm-classifier
  • https://stable-diffusion-art.com/dreambooth
  • https://github.com/LambdaLabsML/lambda-diffusers#stable-diffusion-image-variations
  • https://huggingface.co/spaces/stabilityai/stable-diffusion
  • https://github.com/openai/openai-cookbook
  • https://jalammar.github.io
  • https://github.com/AssemblyAI-Examples/Machine-Learning-From-Scratch
  • https://github.com/patrickloeber/MLfromscratch
  • https://github.com/huggingface/transformers
  • https://docs.trychroma.com/embeddings
  • https://huggingface.co/spaces/openai/whisper/discussions/6#644c447545e79023c7e46d40
  • https://github.com/LudwigStumpp/llm-leaderboard/
  • https://llm-leaderboard.streamlit.app/
  • https://lmsys.org/
  • https://chat.lmsys.org/?arena
  • https://github.com/lm-sys/FastChat
  • https://swimburger.net/blog/dotnet/create-a-chatbot-in-the-console-with-azure-openai-and-csharp
  • https://github.com/zrrskywalker/personalize-sam
  • https://github.com/retkowsky/video-search-azure
  • https://huggingface.co/abidlabs
  • https://www.youtube.com/watch?v=J_HbW82wgcA&t
  • https://medium.com/@contact.jmeyers/complete-list-of-ios-url-schemes-for-third-party-apps-always-updated-5663ef15bdff
  • https://github.com/eugeneyan/open-llms
  • https://haikei.app/
  • https://docs.pinecone.io/docs/examples
  • https://docs.pinecone.io/docs/facial-similarity-search

Dataset

  • https://www.kaggle.com/datasets/sushilyadav1998/bollywood-celeb-localized-face-dataset

ipynb-py-convert

  • https://pypi.org/project/ipynb-py-convert/

Attention is all you need

  • Paper: https://lnkd.in/eJWz6ShV
  • Blog: https://lnkd.in/eaUMMy6v GPT-3 Language models are few-shot learners
  • Paper: https://lnkd.in/eUgFk7Db
  • Video: https://lnkd.in/ev8whzkb
  • Paper: https://arxiv.org/abs/2302.13971
  • Blog: https://crfm.stanford.edu/2023/03/13/alpaca.html
  • Reinforcement Learning with Human Feedback (RLHF) https://lnkd.in/eAkM_FUj
  • Chain of thoughts (https://arxiv.org/abs/2201.11903)
  • tree of thoughts (https://arxiv.org/abs/2305.10601)
  • AI Explained: https://www.youtube.com/@ai-explained-
  • Yannic Kilcher: https://www.youtube.com/@YannicKilcher
  • Sam Witteveen: https://www.youtube.com/@samwitteveenai
  • paper: https://arxiv.org/abs/2306.06031
  • code: https://github.com/AI4Finance-Foundation/FinGPT
  • https://en.wikipedia.org/wiki/WordNet
  • https://en.wikipedia.org/wiki/Cosine_similarity
  • https://killedbygoogle.com
  • https://gpt-tokenizer.dev
  • https://cobusgreyling.medium.com/langchain-agents-llamaindex-tools-e74fd15ee436
  • https://www.linkedin.com/posts/juanjosedelgado_ai-work-activity-7074259187039354880-AvyZ?utm_source=share&utm_medium=member_ios
  • https://techcommunity.microsoft.com/t5/fasttrack-for-azure/grounding-llms/ba-p/3843857
  • https://www.linkedin.com/posts/youssef-hosni-b2960b135_comprehensive-step-by-step-study-plan-for-activity-7073297760040484864-Yme-?utm_source=share&utm_medium=member_ios
  • https://www.microsoft.com/en-us/microsoft-365/blog/2023/05/09/introducing-the-microsoft-365-copilot-early-access-program-and-new-capabilities-in-copilot/
  • https://techcommunity.microsoft.com/t5/educator-developer-blog/create-and-deploy-a-healthcare-chatbot-with-azure-health-bot/ba-p/3841414?WT.mc_id=academic-0000-abartolo
  • https://cloudblogs.microsoft.com/powerplatform/2023/04/13/low-code-signals-2023/
  • https://samos-it.com/posts/deploying-stable-diffusion-gke-autopilot.html
  • https://arxiv.org/abs/2306.03901
  • https://m.youtube.com/playlist?list=PLdo4fOcmZ0oVSBX3Lde8owu6dSgZLIXfu
  • https://techcommunity.microsoft.com/t5/educator-developer-blog/integrating-power-apps-with-azure-machine-learning-amp-open-ai/ba-p/3835949?WT.mc_id=academic-0000-abartolo
  • https://www.amazon.com/dp/B0BW987ZNT?ref_=cm_sw_r_cp_ud_dp_F5C10YM4YA1M8ADYHW3Y
  • https://medium.com/@jeremyarancio/deploy-your-llm-with-inference-endpoints-from-hugging-face-8d442113347f
  • https://platform.openai.com/docs/guides/gpt-best-practices/six-strategies-for-getting-better-results
  • https://github.com/microsoft/semantic-kernel/tree/main/samples/apps/copilot-chat-app
  • https://www.linkedin.com/posts/chunyuan-li-039b6a44_healthcare-medicine-gpt4-activity-7070457159129464832-VdP5?utm_source=share&utm_medium=member_ios
  • https://www.linkedin.com/posts/damienbenveniste_machinelearning-datascience-artificialintelligence-activity-7069339188847919104-5_Ix?utm_source=share&utm_medium=member_ios
  • https://www.linkedin.com/posts/charlesmartin14_the-false-promise-of-imitating-proprietary-activity-7068279035788759040-zVD6?utm_source=share&utm_medium=member_ios
  • https://techcommunity.microsoft.com/t5/ai-machine-learning-blog/harness-the-power-of-large-language-models-with-azure-machine/ba-p/3828459
  • https://techcommunity.microsoft.com/t5/fasttrack-for-azure/grounding-llms/ba-p/3843857
  • https://github.com/iryna-kondr/scikit-llm
  • https://www.linkedin.com/feed/update/urn:li:activity:7066311533848387584?utm_source=share&utm_medium=member_ios
  • https://colorlib.com/wp/parallax-website-templates/
  • https://github.com/whylabs/langkit
  • https://github.com/NielsRogge/Transformers-Tutorials
  • https://vinija.ai/concepts/index.html
  • https://lena-voita.github.io/nlp_course.html
  • https://github.com/dair-ai/ML-YouTube-Courses

𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥𝐬

  • Dotnet (https://bit.ly/3L2CUqn)
  • Edureka (https://bit.ly/3GLdT0k)
  • Brackeys (https://bit.ly/3zYDMWA)
  • Kudvenkat (https://bit.ly/3MGsSfK)
  • QuestPond (https://bit.ly/3N303KP)
  • Nick Chapsas (https://bit.ly/3MKFhiz)
  • Derek Banas (https://bit.ly/41wU9FM)
  • Milan Jovanović (https://bit.ly/3zXoPEi)
  • I am Tim Corey (https://bit.ly/3UD0zAI)
  • FreecodeCamp (https://bit.ly/3GMDVQC)
  • NDC Conferences (https://bit.ly/419dPQc)
  • Programming with Mosh (https://bit.ly/3KEuLqL)

Here’s a list of popular large language models along with their respective number of parameters:

  1. BERT (2018, Google) - 340 million parameters【15†source】
  2. XLNet (2019, Google) - ~340 million parameters【15†source】
  3. GPT-2 (2019, OpenAI) - 1.5 billion parameters【15†source】
  4. GPT-3 (2020, OpenAI) - 175 billion parameters【15†source】
  5. GPT-Neo (March 2021, EleutherAI) - 2.7 billion parameters【15†source】
  6. GPT-J (June 2021, EleutherAI) - 6 billion parameters【19†source】
  7. Megatron-Turing NLG (October 2021, Microsoft and Nvidia) - 530 billion parameters【19†source】
  8. Ernie 3.0 Titan (December 2021, Baidu) - 260 billion parameters【19†source】
  9. Claude (December 2021, Anthropic) - 52 billion parameters【19†source】
  10. GLaM (Generalist Language Model) (December 2021, Google) - 1.2 trillion parameters【19†source】
  11. Gopher (December 2021, DeepMind) - 280 billion parameters【19†source】
  12. LaMDA (Language Models for Dialog Applications) (January 2022, Google) - 137 billion parameters【19†source】
  13. GPT-NeoX (February 2022, EleutherAI) - 20 billion parameters【19†source】
  14. Chinchilla (March 2022, DeepMind) - 70 billion parameters【19†source】
  15. PaLM (Pathways Language Model) (April 2022, Google) - 540 billion parameters【19†source】
  16. OPT (Open Pretrained Transformer) (May 2022, Meta) - 175 billion parameters【19†source】
  17. YaLM 100B (June 2022, Yandex) - 100 billion parameters【19†source】
  18. Minerva (June 2022, Google) - 540 billion parameters【19†source】
  19. BLOOM (July 2022, Large collaboration led by Hugging Face) - 175 billion parameters【19†source】
  20. Galactica (November 2022, Meta) - 120 billion parameters【19†source】
  21. AlexaTM (Teacher Models) (November 2022, Amazon) - 20 billion parameters【19†source】
  22. LLaMA (Large Language Model Meta AI) (February 2023, Meta) - 65 billion parameters【19†source】
  23. GPT-4 (March 2023, OpenAI) - Approximately 1 trillion parameters【19†source】
  24. Cerebras-GPT (March 2023, Cerebras) - 13 billion parameters【19†source】
  25. Falcon (March 2023, Technology Innovation Institute) - 40 billion parameters【19†source】
  26. BloombergGPT (March 2023, Bloomberg L.P.) - 50 billion parameters【19†source】
  27. PanGu-Σ (March 2023, Huawei) - 1.085 trillion parameters【19†source】
  28. OpenAssistant (March 2023, LAION) - 17 billion parameters【19†source】
  29. PaLM 2 (Pathways Language Model 2) (May 2023, Google) - 340 billion parameters【19†source】

𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐕𝐢𝐝𝐞𝐨 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥𝐬

  • C# (https://bit.ly/41l0qEg)
  • Desktop (https://bit.ly/3o82scH)
  • ASP .NET (https://bit.ly/413blCU)
  • Mobile - MAUI (https://bit.ly/43qK2nr)
  • Internet of Things (https://bit.ly/41lQE4L)
  • .NET Monsters (https://shorturl.at/SU245)
  • Games with Unity (https://bit.ly/3MKC17b)
  • Machine Learning and AI (https://bit.ly/3zXacAE)
  • Dockers and Microservices (https://bit.ly/3mvxc6U)

𝐄-𝐁𝐨𝐨𝐤𝐬

  • UWP (https://bit.ly/43nU3C1)
  • Azure (https://bit.ly/3ocaTn2)
  • MAUI (https://bit.ly/3ob239n)
  • DevOps (https://bit.ly/3KGcBoC)
  • .NET Core (https://bit.ly/43rc2rc)
  • Microservices (https://bit.ly/3GC5yfe)
  • 30+ .NET Tips (https://lnkd.in/dxK47i4z)

𝐁𝐨𝐨𝐤𝐬

  • C# in Depth by Jon Skeet aka C# Guru
  • ASP .NET Core in Action by Andrew Lock
  • C# 10 in a Nutshell Book by Joseph Albahari
  • C# 10 and .NET 6 Modern Cross Platform Development by Mark J.Price

𝐁𝐥𝐨𝐠 𝐒𝐢𝐭𝐞𝐬

  • Josip Miskovic (https://josipmisko.com/)
  • Method Poet (https://methodpoet.com/)
  • .NET Tutorials (https://lnkd.in/dQkAc7Ru)
  • .NET Tricks (https://lnkd.in/dqbAzPcd)
  • Code4IT (https://www.code4it.dev/)

  • Code Maze (https://code-maze.com/)

  • https://www.milanjovanovic.tech/blog
  • https://math.mit.edu/~gs/LectureNotes
  • https://clemenssiebler.com/posts/azure-openai-service-embeddings-tutorial/
  • https://nifangbaage.github.io/Explicit-Visual-Prompt/
  • https://www.promptingguide.ai
  • https://aka.ms/GeneralAI
  • https://google-research.github.io/seanet/musiclm/examples/
  • https://google-research.github.io/seanet/audiopalm/examples
  • https://en.wikipedia.org/wiki/Large_language_model
  • https://www.packtpub.com/article-hub/creating-a-langchain-agent-azure-openai-python-with-the-react-approach
  • https://www.databricks.com/blog/introducing-english-new-programming-language-apache-spark
  • https://rom1504.github.io/clip-retrieval
  • https://github.com/rom1504/clip-retrieval
  • https://github.com/mlfoundations/open_clip
  • https://github.com/webdataset
  • https://m365maps.com
  • https://dreamfusion3d.github.io
  • https://lilianweng.github.io/posts/2021-07-11-diffusion-models
  • https://tatsu-lab.github.io/alpaca_eval

ReAct: Synergizing Reasoning and Acting in Language Models

  • https://arxiv.org/abs/2210.03629
  • https://github.com/ysymyth/ReAct
  • https://openreview.net/forum?id=WE_vluYUL-X
  • https://learnprompting.org/docs/advanced_applications/react
  • https://react-lm.github.io/
  • https://ai.googleblog.com/2022/11/react-synergizing-reasoning-and-acting.html
  • https://editing-images-project.hf.space/index.html
  • https://stablediffusionxl.com
  • https://www.philschmid.de/sagemaker-falcon-qlora
  • https://web.stanford.edu/class/cs224n/
  • https://web.stanford.edu/class/cs224n/slides/

Harvard Courses

  1. CS50’s Web Programming with Python and JavaScript https://lnkd.in/ezpYnuWH

  2. CS50: Introduction to Computer Science https://lnkd.in/eVMGXyXa

  3. CS50’s Introduction to Programming with Python https://lnkd.in/eYFcusXP

  4. CS50’s Introduction to Programming with Scratch https://lnkd.in/epVQ9EdW

  5. CS50’s Understanding Technology https://lnkd.in/ecF_RGvA

  6. CS50’s Introduction to Artificial Intelligence with Python https://lnkd.in/eQg4TsJa

  7. CS50’s Introduction to Game Development https://lnkd.in/efCj3A4H

  8. CS50’s Computer Science for Business Professionals https://lnkd.in/eTQ92AJk

  9. CS50’s Mobile App Development with React Native https://lnkd.in/e3ybX7UF

  10. Data Science https://lnkd.in/eXFZwkcX

  11. Introduction to Data Science with Python https://lnkd.in/e8ZqcxUw

  12. Rhetoric: The Art of Persuasive Writing and Public Speaking https://lnkd.in/eAEGn2K6

  13. Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron https://lnkd.in/eFnbRW-y

  14. The Einstein Revolution https://lnkd.in/ezF8iakS

  15. Exercising Leadership: Foundational Principles https://lnkd.in/eE6tc5aC

  16. Leaders of Learning https://lnkd.in/efnyHwi8

  17. Computer Science https://lnkd.in/ee9X3Suu

    • https://www.kirupa.com/data_structures_algorithms/big_o_notation.htm
  • Engineering at Meta - https://lnkd.in/e8tiSkEv
  • Google Research - https://ai.googleblog.com/
  • Google Cloud Blog - https://lnkd.in/enNviCF8
  • AWS Architecture Blog - https://lnkd.in/eEchKJif
  • All Things Distributed - https://lnkd.in/emXaQDaS
  • The Nextflix Tech Blog - https://lnkd.in/efPuR39b
  • LinkedIn Engineering Blog - https://lnkd.in/ehaePQth
  • Uber Engineering Blog - https://eng.uber.com/
  • Engineering at Quora - https://lnkd.in/em-WkhJd
  • Pinterest Engineering - https://lnkd.in/esBTntjq
  • Lyft Engineering Blog - https://eng.lyft.com/
  • Twitter Engineering Blog - https://lnkd.in/evMFNhEs
  • Dropbox Engineering Blog - https://dropbox.tech/
  • Spotify Engineering - https://lnkd.in/eJerVRQM
  • Github Engineering - https://lnkd.in/eCADWt8x
  • Instagram Engineering - https://lnkd.in/e7Gag8m5
  • Databricks - https://lnkd.in/eXcBj37a
  • Canva Engineering Blog - https://canvatechblog.com/
  • Etsy Engineering - https://lnkd.in/eddzzKRt
  • Booking.com Tech Blog - https://blog.booking.com/
  • Expedia Technology - https://lnkd.in/ehjuBE5J
  • The Airbnb Tech Blog - https://lnkd.in/emGrJbGM
  • Stripe Engineering Blog - https://lnkd.in/em6Svgyx
  • Ebay Tech Blog - https://tech.ebayinc.com/
  • Flickr’s Tech Blog - https://code.flickr.net/
  • Hubspot Product and Engineering Blog - https://lnkd.in/eRGZkBd4
  • Zynga Engineering - https://lnkd.in/eex5Ddry
  • Yelp Engineering Blog - https://lnkd.in/epgBW_4J
  • Heroku Engineering Blog - https://lnkd.in/evgctQjh
  • Discord Engineering and Design - https://lnkd.in/evY4gpUA
  • Zomato - https://lnkd.in/e9gf3APD
  • Hotstar - https://blog.hotstar.com/
  • Swiggy - https://bytes.swiggy.com/
  • Acast Tech - https://lnkd.in/esuCEYZb
  • ASOS Tech Blog - https://lnkd.in/esXfdv3G
  • Shopify Engineering - https://lnkd.in/evvnqQTj
  • Microsoft Tech Blogs - https://lnkd.in/etw_7_bN
  • Engineering at Microsoft - https://lnkd.in/eEKz4ECi
  • MongoDB Engineering Blog - https://lnkd.in/e9iaqcmZ
  • Slack Engineering - https://slack.engineering/
  • Engineering at Depop - https://lnkd.in/eGjRYcFd
  • SourceDiving (Cookpad’s Engineering Blog - https://sourcediving.com/
  • Auto Trader Engineering Blog - https://lnkd.in/eGDKA_g3
  • Indeed Engineering Blog - https://lnkd.in/ecFS87Dt
  • Gusto Engineering Blog - https://lnkd.in/e7yVxDKs
  • Engineering at Birdie - https://lnkd.in/eUqJTpje
  • Forethough Engineering - https://lnkd.in/esCKvedJ
  • Capital One - https://lnkd.in/ezsKUf_H
  • Disney Streaming - https://lnkd.in/e4nmMdWd
  • Digital Transformation Survive and Thrive in an Era of Mass Extinction - https://www.digitaltransformation.ai

Open Letter on AI

https://programminghistorian.org/en/lessons/common-similarity-measures

5 FHIR open source projects

  1. Azure Health Data Services Toolkit

https://github.com/microsoft/azure-health-data-services-toolkit

  1. Convert HL7 messages to FHIR

https://github.com/microsoft/FHIR-Converter

  1. Microsoft’s own open source FHIR server

https://github.com/microsoft/fhir-server

Docker instance: https://hub.docker.com/_/microsoft-healthcareapis-r4-fhir-server

  1. Smart on FHIR integration with Azure FHIR

https://github.com/Azure-Samples/azure-health-data-and-ai-samples/tree/main/samples/smartonfhir

  1. FHIR and DICOM data anonymization

https://github.com/microsoft/Tools-for-Health-Data-Anonymization