What's New in Generative AI in 2023
PaLM API & MakerSuite:
• MUM to search — https://blog.google/products/search/introducing-mum/
• LaMDA in the AI Test Kitchen — https://blog.google/technology/ai/join-us-in-the-ai-test-kitchen/
• Tune a model in Makersuite — http://proceedings.mlr.press/v97/houlsby19a/houlsby19a.pdf
• Generate embeddings through the PaLM API that can be used with downstream applications built with TensorFlow, Keras, JAX, and other open-source libraries.
• Scale your generative AI application with Google Cloud Vertex AI — https://cloud.google.com/blog/products/ai-machine-learning/generative-ai-for-businesses-and-governments
Google Cloud + AI & ML
• Build generative AI applications quickly and responsibly — powered by Google’s most advanced technology
○ Generative AI example — Generate text, images, code, and more with Google Cloud AI - https://cloud.google.com/use-cases/generative-ai
• Improve customer service with Contact Center AI’s virtual agents and conversational AI products like Speech-to-Text
○ Virtual Agent Tailored with Dialogflow — https://cloud.google.com/solutions/contact-center
○ Speech to Text — https://cloud.google.com/speech-to-text
• Build, deploy, and scale more effective AI models with our unified machine learning platform, Vertex AI
○ Vertex AI — https://cloud.google.com/vertex-ai
What generative AI offerings does Google Cloud have?
• Vertex AI — https://cloud.google.com/vertex-ai
• Model Garden on Vertex AI — https://cloud.google.com/model-garden
A. First-party models — Foundation models.
B. First-party models — Pre-trained APIs:
○ Speech-to-Text — https://cloud.google.com/speech-to-text
○ Natural Language processing — https://cloud.google.com/natural-language
○ Translation — https://cloud.google.com/translate
○ Vision — https://cloud.google.com/vision
C. Open source models:
○ BERT
○ T5-FLAN
○ ViT
○ EfficientNet
• AI Studio — Customize and deploy generative models — https://cloud.google.com/generative-ai-studio
First-party models — Foundation models:
○ PaLM 2: Google’s next-gen LLM — https://blog.google/technology/ai/google-palm-2-ai-large-language-model/
○ Codey: Code completion and generation:
- Med-PaLM 2 for healthcare and life sciences: https://cloud.google.com/blog/topics/healthcare-life-sciences/sharing-google-med-palm-2-medical-large-language-model
- Sec-PaLM for security: https://cloud.google.com/blog/products/identity-security/rsa-google-cloud-security-ai-workbench-generative-ai
○ Imagen: Generate and customize images
○ Chirp: universal speech model
• Generative AI App Builder — https://cloud.google.com/generative-ai-app-builder
• Introducing Duet AI for Google Cloud — https://www.youtube.com/watch?v=g5TwQx60NXs
○ Duet AI for AppSheet — Create business applications with Duet AI for AppSheet using natural language.
○ Duet for Google Cloud — https://cloud.google.com/blog/products/application-modernization/introducing-duet-ai-for-google-cloud
○ Duet AI for Google Workspace — https://workspace.google.com/blog/product-announcements/duet-ai
- Code assistance: Code assistance auto-generates code for creating a Google Cloud Storage bucket. Across Google Cloud, such as in Cloud Workstations, Google Cloud Console, Cloud Shell Editor, or via our Cloud Code IDE extensions for VSCode and JetBrains IDEs. It supports multiple languages, including Go, Java, Javascript, Python, and SQL.
- Chat assistance (cloud services or functions): Provide architectural or coding best practices, helping reduce the need to search for relevant documents.
•Reinforcement learning from human feedback (RLHF).
https://ai.googleblog.com/2023/05/using-reinforcement-learning-for.html
https://www.deepmind.com/research?tag=Reinforcement+learning
•Larger language models do in-context learning differently
https://ai.googleblog.com/2023/05/larger-language-models-do-in-context.html
•The Prompt: Debunking five generative AI misconceptions
https://cloud.google.com/blog/transform/prompt-debunking-five-generative-ai-misconceptions
Top Google AI Tools for Everyone
For Developers
• TensorFlow — https://blog.tensorflow.org/
• ML Kit Firebase for mobile-only SDK — Repository for Dart and Flutter: https://pub.dev/
- Language Identification
- Text Recognition
- Image Scanning and Labelling
- Face Recognition
- Smart Replies
- Custom Model Integration with TensorFlow Lite
• Google Open Source: https://opensource.googleblog.com/
• Tensorflow Fairness: https://github.com/tensorflow/fairness-indicators
• Google Colab — https://colab.research.google.com/
For Researchers
• Google Datasets — https://cloud.google.com/public-datasets
• Google Dataset Search — https://datasetsearch.research.google.com/
For Companies/Business:
- Showcase customers with GenAI: https://cloud.google.com/blog/products/ai-machine-learning/google-cloud-at-io-2023
•Showcase popular workplace apps — https://cloud.google.com/blog/products/ai-machine-learning/google-cloud-generative-ai-partners-at-io-2023
•Ulta Case Study — https://cloud.google.com/blog/transform/ulta-beauty-cosmetics-experiences-anywhere-with-cloud
•Developing an aging clock using deep learning on retinal images — https://ai.googleblog.com/2023/04/developing-aging-clock-using-deep.html
•Directing ML toward natural hazard mitigation through collaboration — https://ai.googleblog.com/2023/04/directing-ml-toward-natural-hazard.html
•Paper entitled “Generative Agents: Interactive Simulacra of Human Behavior.” — https://reverie.herokuapp.com/arXiv_Demo/
•Supercharging security with generative AI — https://cloud.google.com/blog/products/identity-security/rsa-google-cloud-security-ai-workbench-generative-ai
