Courtesy of Nico Baum - Unsplash
Jeff Barr Twit on AWS Service Deprecation
https://x.com/jeffbarr/status/1818488419347317217
Deliver Amazon CloudWatch logs to Amazon OpenSearch Serverless
awsipranges
https://github.com/cmlccie/awsipranges
Taskfile
Task is a task runner and build tool designed to be simple and easy to use, comparable to GNU Make. It is implemented in Go, making it a single, dependency-free binary. Users define tasks in a Taskfile.yml
using a YAML schema. Features include easy installation, cross-platform support (including Windows), and integration with CI pipelines. Task supports efficient code generation by preventing tasks from running if source files haven't changed.
Meta just launched the largest ‘open’ AI model in history
Meta recently unveiled Llama 3.1 405B, the largest open-source AI model in history, boasting 405 billion parameters. This model is a significant advancement in the realm of open-source AI, marking a substantial contrast to closed-source models like OpenAI's ChatGPT and Google's Gemini. Unlike these proprietary systems, which keep datasets and source codes confidential, Llama 3.1 is designed to be accessible, promoting transparency and collaboration in AI development.
Despite its openness, the model does not include the dataset used for training, raising concerns about the completeness of its "open-source" nature. However, it still provides an essential tool for researchers and smaller organizations who lack the resources to develop such large models from scratch. The model excels in tasks such as reasoning and coding, making it a competitive player in the AI landscape​ (Singularity Hub)​​ (The Pioneer)​​ (Republic World)​.
This move by Meta emphasizes the importance of openness, accessibility, and ethical governance in the future of AI, encouraging a more inclusive and transparent approach to AI technology​ (The Pioneer)​​ (Republic World)​.
https://www.innovationaus.com/meta-just-launched-the-largest-open-ai-model-in-history/
Delivering Faster Analytics at Pinterest
https://medium.com/pinterest-engineering/delivering-faster-analytics-at-pinterest-a639cdfad374