On Being a Senior Engineer A classic on the expectations and traits of a "senior engineer" across both technical and non-technical areas: Some of the key traits of a senior role include seeking constructive criticism, understanding the importance of collaboration and communication, being comfortable with making estimates, and recognizing the trade-offs in engineering decisions. It's also clear on the importance of soft strengths such as empathy, mentorship, and the ability to navigate the complexities of team dynamics. |
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Postgres as a Search Engine Postgres as the solution for everything - this time, on postgres as a Search Engine (yes, even for your shiny RAG application): Quite an insightful deep dive into PostgreSQL latest extensions to build a versatile search engines integrating full-text search, semantic search, and fuzzy matching. The architecture involves a single PostgreSQL instance for advanced strategies like result re-ranking with cross-encoders and boosting for enhanced user experience, making PostgreSQL a surprisingly powerful tool for search. |
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What's Going on in ML A fantastic practical and philosophical article from Stephen Wolfram on foundational machine learning: Great insights from Wolfram arguing that the current success of ML lies in leveraging computational irreducibility, where complex behaviors emerge from simple rules. This article introduces examples with minimal models that show how ML doesn't create structured mechanisms but instead exploits complexity to drive value, introducing newer trade-offs such as model interpretability and performance/accuracy. |
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How Google Search Works A set of leaked court documents gives us an in-depth insight into how Google Search Ranking really works: This is a great deep dive into Google's complex search ranking system which focuses on how internal components impact how search results are determined. It's also interesting to see the increasing complexity of ranking algorithms driven by machine learning, which make it difficult even for Google engineers to fully explain rankings. The internal components also have traditionally creative names such as "Alexandria", which handles indexing, and "Mustang" + "Superroot", which refine and filter search results. What is also quite interesting is that these insights are also relevant to understanding these systems for SEO, which make it clear that traditional on-page and off-site optimization may be less effective than understanding and adapting to these dynamic ranking factors. |
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Good vs Bad Code Refactoring Good Refactoring vs Bad Refactoring, a great reminder that not all refactors are committed equal: We have to remind ourselves on common pitfalls on refactoring, such as overcomplicating code with unnecessary abstractions, introducing inconsistent coding styles, and failing to understand the code before making changes. This resource has some great reminders on best practices such as maintaining consistency with the existing codebase, avoiding drastic shifts in paradigms without team consensus, and prioritizing readability and maintainability over perceived "cleanliness." |
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Upcoming MLOps Events The MLOps ecosystem continues to grow at break-neck speeds, making it ever harder for us as practitioners to stay up to date with relevant developments. A fantsatic way to keep on-top of relevant resources is through the great community and events that the MLOps and Production ML ecosystem offers. This is the reason why we have started curating a list of upcoming events in the space, which are outlined below. Upcoming conferences where we're speaking:
Other upcoming MLOps conferences in 2024:
In case you missed our talks:
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Check out the fast-growing ecosystem of production ML tools & frameworks at the github repository which has reached over 10,000 ⭐ github stars. We are currently looking for more libraries to add - if you know of any that are not listed, please let us know or feel free to add a PR. Four featured libraries in the GPU acceleration space are outlined below. - Kompute - Blazing fast, lightweight and mobile phone-enabled GPU compute framework optimized for advanced data processing usecases.
- CuPy - An implementation of NumPy-compatible multi-dimensional array on CUDA. CuPy consists of the core multi-dimensional array class, cupy.ndarray, and many functions on it.
- Jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
- CuDF - Built based on the Apache Arrow columnar memory format, cuDF is a GPU DataFrame library for loading, joining, aggregating, filtering, and otherwise manipulating data.
If you know of any open source and open community events that are not listed do give us a heads up so we can add them! |
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As AI systems become more prevalent in society, we face bigger and tougher societal challenges. We have seen a large number of resources that aim to takle these challenges in the form of AI Guidelines, Principles, Ethics Frameworks, etc, however there are so many resources it is hard to navigate. Because of this we started an Open Source initiative that aims to map the ecosystem to make it simpler to navigate. You can find multiple principles in the repo - some examples include the following: - MLSecOps Top 10 Vulnerabilities - This is an initiative that aims to further the field of machine learning security by identifying the top 10 most common vulnerabiliites in the machine learning lifecycle as well as best practices.
- AI & Machine Learning 8 principles for Responsible ML - The Institute for Ethical AI & Machine Learning has put together 8 principles for responsible machine learning that are to be adopted by individuals and delivery teams designing, building and operating machine learning systems.
- An Evaluation of Guidelines - The Ethics of Ethics; A research paper that analyses multiple Ethics principles.
- ACM's Code of Ethics and Professional Conduct - This is the code of ethics that has been put together in 1992 by the Association for Computer Machinery and updated in 2018.
If you know of any guidelines that are not in the "Awesome AI Guidelines" list, please do give us a heads up or feel free to add a pull request!
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