- https://github.com/ObrienlabsDev/blog/wiki The repository 01234567890123456789012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 is too long (maximum is 100 characters).
- https://www.linkedin.com/in/michaelobrien-developer
- https://youtube.com/@obrienlabs?si=Aec73pKFgd8vfDNc
- https://obrienlabs.medium.com/running-the-larger-google-gemma-7b-35gb-llm-for-7x-inference-performance-gain-8b63019523bb
- https://obrienlabs.medium.com/google-gemma-7b-and-2b-llm-models-are-now-available-to-developers-as-oss-on-hugging-face-737f65688f0d
- https://obrienlabs.medium.com/running-the-70b-llama-2-llm-locally-on-metal-via-llama-cpp-on-mac-studio-m2-ultra-32b3179e9cbe
- https://github.com/eclipse-ee4j/eclipselink/blob/master/jpa/org.eclipse.persistence.jpa/src/main/java/org/eclipse/persistence/jpa/PersistenceProvider.java#L17
- https://bugs.eclipse.org/bugs/show_bug.cgi?id=266912
- wiki Extraction)
- CUDA based - High Performance Computing - LLM Training - Ground to GCP Cloud Hybrid
- Biometric Heart Rate Streaming from Mobile Devices
- Drone Streaming Extraction
- Coding Languages
- Serverless Reference Architecture
- Google Maps API based Javascript Web Application
- Google Cloud Landing Zone Comparisons
- Google Cloud Earth Engine (formerly Keyhole) - HPC Integration
- Calling Google Cloud APIs privately from on prem using Private Service Connect
- Google Gemini LLM
- Duet AI for LLM based Acceleration in GCP
- Machine Learning on Local or Cloud based NVidia or Apple GPUs
- LLM and Machine Learning Custom Hardware
- 70B LLaMA 2 LLM local inference on metal via llama.cpp on Mac Studio M2 Ultra - LinkedIn - 70B LLaMA 2 LLM local inference on metal via llama.cpp on Mac Studio M2 Ultra - Medium
- Google Workspace - https://www.credly.com/badges/eadd68c6-ae8b-4527-94ba-78b06d03308e
- Google ACE - https://www.credly.com/badges/7b314aaa-2ff4-41bc-a5f3-bc172280ea58
- Google Architect - https://www.credly.com/badges/65f83c1c-94ad-47c3-97b8-3899571b2893
- Google Developer - https://www.credly.com/badges/e160d82f-9765-40ae-99f2-3c53c7fd68b2
- Google Network - https://www.credly.com/badges/c9f0e726-1536-4549-bfe9-080da3e28c0c
- Google Security - https://www.credly.com/badges/c63222e4-ae76-4871-b8c7-14150d3a413c
- Google Database - https://www.credly.com/badges/7437b99b-6c69-4d08-b155-21be874f0de8
- Google Data - https://www.credly.com/badges/b067a100-03b0-45b1-b363-ca3fcbdc3bf8
- Google DevOps - https://www.credly.com/badges/61099b91-c794-4f63-947f-8e89b24896b0
- Google Machine Learning - https://www.credly.com/badges/829da75d-8964-48d3-83a4-01212f358e1c
- Google GenAI - https://www.credly.com/badges/1524ec69-c83a-49aa-a67a-2ee5d0b75d0e
- Google Digital Leader - https://www.credly.com/badges/582fbd6e-3ea0-496f-85a2-4c32eb421ef5
- AWS Architect Prof - https://www.credly.com/badges/4aa1c878-bd30-45d6-b822-44ee4df4301f
- AWS Architect Associate - https://www.credly.com/badges/3e9dfcb6-cee3-455d-a0e0-ecddc2ae7380
- Azure Fundamentals - https://learn.microsoft.com/en-us/users/michaelobrien-0902/credentials/a8fabbad85bc6e2
- Google Project Gemini - https://blog.google/technology/ai/google-io-2023-keynote-sundar-pichai/#ai-products is multimodal https://www.techopedia.com/definition/multimodal-ai-multimodal-artificial-intelligence - https://medium.com/@bedros-p/gemini-is-coming-to-makersuite-so-are-stubbs-32248f3924aa - https://developers.googleblog.com/2023/09/make-with-makersuite-part1-introduction.html
- https://blog.google/technology/ai/google-gemini-ai/#performance
It is important to work in detail and deep dive technologies that are dangerous and potentially catastrophic to the Human Race. Expanding on this - I think those of us who are empathetic (Most humans) must understand and maintain control of technologies that are generally feared and powerful. These technologies include Nanotechnology, Genetics, Machine Learning, Physics, Mathematics and Artificial Intelligence (both the statistical engine kind and the SSI/AGI kind). As in there are no black boxes. 20251229