Mark Ryan
Create a gen-ai powered search against documents that you specify
updated 10 months ago
Documentation: cloud.google.com/vertex-ai/generative-ai/docs/multimodal/ground-gemini
Related video on grounding with Vertex AI Search: youtu.be/q_ln2Hctog4
- Video: youtu.be/U_LIaGSj5aM?si=9bdJ5_uxwuehR7NX
- Article: medium.com/@markryan-69718/tuning-an-llm-in-vertex-ai-f6e340736461?sk=275e5fb95e9713b9bd200db3ad3d45eb
Documentation: cloud.google.com/vertex-ai/docs/generative-ai/open-models/use-gemma
Notebook: github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/model_garden/model_garden_gemma_deployment_on_vertex.ipynb
Related article: markryan-69718.medium.com/deploying-gemma-in-vertex-ai-b65539753d35?sk=4def33cd0cfefaf56992781d8b9d748c
Related documentation:
Vertex AI base models: cloud.google.com/vertex-ai/docs/generative-ai/learn/models#palm-models
Sample JSONL tuning datasets: cloud.google.com/vertex-ai/docs/generative-ai/models/tune-text-models-supervised#sample-datasets
Details about text model tuning: cloud.google.com/vertex-ai/docs/generative-ai/models/tune-text-models-supervised
JSONL (JSON Lines) format: jsonlines.org
Related article: markryan-69718.medium.com/tuning-an-llm-in-vertex-ai-f6e340736461?sk=275e5fb95e9713b9bd200db3ad3d45eb
For a description of how to create a Vertex AI Search data store, see youtu.be/kzuHyJ1xMrw
LangChain Pinecone tutorial: python.langchain.com/docs/integrations/vectorstores/pinecone
LangChain RAG tutorial: python.langchain.com/docs/use_cases/question_answering
Related article: markryan-69718.medium.com/rag-hello-world-for-vertex-ai-7d789ba99b31?sk=e62c212738a036d7ed3adafbc82ae1e0
Repo: github.com/ryanmark1867/rag_experiment
repo: github.com/ryanmark1867/langchain-pandas
related article: markryan-69718.medium.com/unlocking-pandas-with-generative-ai-6de10da40a68?sk=b1f0548cb4fb506e91ade2bcd702f041
Thanks to Codence for the music!
Code for the example shown in the video: github.com/ryanmark1867/deep_learning_ml_pipeline
Related article: medium.com/the-modern-scientist/training-a-custom-model-in-a-pre-built-vertex-ai-container-8a34e244db53?sk=5486fc72b783977e03f8215339d58596
Thanks to Codence for the music.
Related repo: github.com/ryanmark1867/deep_learning_web_deployment
Related article: markryan-69718.medium.com/deploy-keras-models-with-vertex-ai-32e5b6d59f4f?sk=f36754de23fccdb3fa8a06b43c1271a9
Thanks to Codence for the music.
Try it out yourself: https://blog.google/technology/ai/join-us-in-the-ai-test-kitchen/
Related article: markryan-69718.medium.com/gpt-3-vs-chatgpt-4f8b43bc0706?sk=cc875eac65791e329fd910c5723a7bb5
Official Google sites for these exams:
cloud.google.com/certification/cloud-engineer
cloud.google.com/certification/machine-learning-engineer
Article with more details on my experience with the Professional ML Engineer certification:
markryan-69718.medium.com/google-professional-machine-learning-engineer-certification-e9ce763f170?sk=7e4b514b1994b7dbdf04a19d0a2fc07f
Stable Diffusion Colab notebook: colab.research.google.com/drive/1uWCe41_BSRip4y4nlcB8ESQgKtr5BfrN?usp=sharing
Article with more comparisons: markryan-69718.medium.com/stable-diffusion-vs-dall-e-2-d57e1aacba62
Google Cloud blog: cloud.google.com/blog/products/ai-machine-learning/running-alphafold-on-vertexai
Medium article describing the experiment in the video: markryan-69718.medium.com/alphafold-for-everybody-c73d40d4b56d?sk=37ff92ffdfb4d63d3dd99dc683c891be
Note - I'm a Google employee but this video only includes my personal observations, not the official Google position.
Thanks to Codence for the intro music.
Related article: towardsdatascience.com/codex-a-bridge-between-clouds-835250399fe9
Keras MNIST solution used as a starting point for Codex translation to fastai: github.com/PacktPublishing/Deep-Learning-with-fastai-Cookbook/blob/main/ch1/keras_sequential_api_hello_world.py
fastai MNIST solution used as a starting point for Codex translation to Keras: github.com/PacktPublishing/Deep-Learning-with-fastai-Cookbook/blob/main/ch1/mnist_hello_world.ipynb
Article on Keras to fastai translation by Codex: towardsdatascience.com/using-codex-to-translate-keras-to-fastai-8471a4596755
Deep Learning with fastai cookbook: amazon.com/Deep-Learning-fastai-Cookbook-easy/dp/1800208103/ref=sr_1_1?crid=2DW26B3XW0UC8&keywords=deep+learning+with+fastai+cookbook&qid=1636313497&qsid=130-4637480-5001025&s=books&sprefix=deep+learning+with+fastai+cookbook%2Cstripbooks-intl-ship%2C120&sr=1-1&sres=1800208103%2CB08KG9HZ85%2C1492078190&srpt=ABIS_BOOK
Other Codex experiments:
- COBOL to JavaScript: youtu.be/2dYSMvlwFjg
- COBOL to Python: youtu.be/uTIk2fifO50
- generating JavaScript from English descriptions: youtu.be/d9sbsSA8xS4
Thanks to Codence for the intro music.
Article containing the source COBOL: medium.com/@yvanscher/7-cobol-examples-with-explanations-ae1784b4d576
Article with additional examples of COBOL to JavaScript via Codex: markryan-69718.medium.com/codex-translates-cobol-into-javascript-266205d606c0
Intro to COBOL and Codex: youtu.be/uTIk2fifO50
Thanks to Codence for the intro music.
Related article: towardsdatascience.com/back-to-the-future-with-codex-and-cobol-766782f5ae8f
Repo with code from this video: github.com/ryanmark1867/codex_experiment
Original COBOL sum program: codepoc.io/blog/cobol/4039/program-to-add-two-numbers
Related video on Codex: youtu.be/d9sbsSA8xS4
Thanks to Codence for the music.
- English to git: youtu.be/MoLfVG-8Z5A
- movie trivia: youtu.be/ECeRjLkT01U
- navigating the London Underground: youtu.be/790PiTSqi4Y
- navigating the NYC subway: youtu.be/Xzb1Vc8dYAY
Article on a related Codex experiment: towardsdatascience.com/a-first-taste-of-codex-71385ee8aaa4
deploying a fastai model trained on a tabular dataset: youtu.be/lLCeOPc82DI
deploying a fastai model trained on an image dataset: youtu.be/se4D7vX-n7I
Repo containing the code described in this video: github.com/PacktPublishing/Deep-Learning-with-fastai-Cookbook
Deep Learning with fastai Cookbook: amazon.com/Deep-Learning-fastai-Cookbook-easy/dp/1800208103/ref=sr_1_1?crid=3TW3MMYC1J1U9&dchild=1&keywords=deep+learning+with+fastai+cookbook&qid=1629662388&s=books&sprefix=deep+learning+with+fastai%2Cstripbooks-intl-ship%2C170&sr=1-1
Deep Learning with fastai Cookbook: amazon.com/Deep-Learning-fastai-Cookbook-easy/dp/1800208103/ref=sr_1_1?dchild=1&keywords=deep+learning+with+fastai+cookbook&qid=1627878512&sr=8-1
fastai code shown in this video: github.com/PacktPublishing/Deep-Learning-with-fastai-Cookbook/blob/main/ch8/training_with_tabular_datasets_callbacks.ipynb
Keras code shown in this video: github.com/ryanmark1867/deep_learning_for_structured_data/blob/master/notebooks/streetcar_model_training.ipynb
Article on this topic: markryan-69718.medium.com/using-fastai-callbacks-for-efficient-model-training-cb03160a5f17?sk=6f6e171c0486d258cc66df3b31bc766a
Deep Learning with fastai cookbook: amazon.com/Deep-Learning-fastai-Cookbook-easy/dp/1800208103/ref=sr_1_1?dchild=1&keywords=deep+learning+with+fastai+cookbook&qid=1627266118&s=books&sr=1-1
Code described in this video: github.com/PacktPublishing/Deep-Learning-with-fastai-Cookbook/blob/main/ch3/training_with_tabular_datasets.ipynb
Upcoming book, Deep Learning with fastai Cookbook, containing this example: https://t.co/4Cm8Dw8nVV?amp=1
Video on the book Deep Learning with fastai Cookbook: youtu.be/hszjCrPn7jk
Book site: https://t.co/4Cm8Dw8nVV?amp=1
Book repo: github.com/PacktPublishing/Deep-Learning-with-fastai-Cookbook
Video with details on fastai tabular data models: youtu.be/SN9ZdsPC4gk
Code described in this video: github.com/ryanmark1867/fastai_image_deployment
Related article: towardsdatascience.com/deploying-a-fastai-model-on-windows-with-flask-c8846e6b9800
Related videos: youtu.be/3d6rGGyPR5c, youtu.be/wCMuQD2QBMk
Git repo with the code for the web deployment described in this video: github.com/ryanmark1867/fastai_deployment
More on fastai vs Keras: youtu.be/3d6rGGyPR5c
More on fastai curated datasets: medium.com/swlh/getting-the-most-out-of-fastai-curated-datasets-47ebe69ea3fc
Repo containing MNIST examples for fastai and Keras: github.com/ryanmark1867/fastai_vs_keras
Thanks to Codence for the excellent musical track.
Links to the liveProjects: manning.com/bundles/end-to-end-deep-learning-for-price-prediction
Prepare Tabular Data: manning.com/liveproject/prepare-tabular-data
Train a DL Model: manning.com/liveproject/train-a-dl-model
Deploy a DL Model: manning.com/liveproject/deploy-a-dl-model
My gratitude to Codence for the awesome music.
Deep Learning with Structure Data from Manning: manning.com/books/deep-learning-with-structured-data
Check out my book Deep Learning with Structured Data: manning.com/books/deep-learning-with-structured-data
code repo: github.com/ryanmark1867/tube_assistant
article describing the code: link.medium.com/1ZkadYDLfeb
MTA dynamic subway map: map.mta.info
GPT-3 navigates the London Underground: youtu.be/790PiTSqi4Y
repo containing the MNIST examples shown in this video: github.com/ryanmark1867/fastai_vs_keras
fastai curated dataset documentation show in this video: course.fast.ai/datasets
repo containing the MNIST examples shown in this video: github.com/ryanmark1867/fastai_vs_keras
fastai book mentioned in the video: amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527/ref=sr_1_1?crid=JC4GZ8HYVA8Y&dchild=1&keywords=fastai+book&qid=1610224205&sprefix=fastai%2Caps%2C265&sr=8-1
Article with more details: towardsdatascience.com/on-the-tube-with-gpt-3-6f9572e88292
Repo with code from the video: github.com/ryanmark1867/tube_assistant
Stock images: shutterstock.com
Book site: manning.com/books/deep-learning-with-structured-data?query=deep%20learning%20with%20stru
Repo for accompanying code: github.com/ryanmark1867/deep_learning_for_structured_data
Book site: manning.com/books/deep-learning-with-structured-data?query=deep%20learning%20with%20stru
Repo for accompanying code: github.com/ryanmark1867/deep_learning_for_structured_data
Article that describes the comparison in more detail: towardsdatascience.com/gpt-3-vs-rasa-chatbots-8b3041daf91d
Repo with the code for the Rasa chatbot: github.com/ryanmark1867/chatbot_production
Article with details: towardsdatascience.com/replacing-my-git-cheat-sheet-with-gpt-3-69223e58626f
repo: github.com/ryanmark1867/git_assistant