software engineering – Page 5 – Andrew Fairless, Ph.D.

What I Read: GPU Computing

By Andrew Fairless on January 15, 2024November 7, 2023

https://codeconfessions.substack.com/p/gpu-computing What Every Developer Should Know About GPU ComputingAbhinav UpadhyayOct 18, 2023 “GPUs have become incredibly important because of their pervasive use in deep learning. Today, it is essential forContinue readingWhat I Read: GPU Computing

What I Read: LLM Apps, Data Pipelines

By Andrew Fairless on December 7, 2023November 20, 2023

https://meltano.com/blog/llm-apps-are-mostly-data-pipelines/ LLM Apps Are Mostly Data PipelinesPat NadolnyAugust 22 2023 “While the existing LLM app tools like LangChain and LlamaIndex are useful for building LLM apps… you should heavily considerContinue readingWhat I Read: LLM Apps, Data Pipelines

What I Read: What we don’t talk about

By Andrew Fairless on August 28, 2023July 30, 2023

https://veekaybee.github.io/2023/07/18/what-we-dont-talk-about-when-we-talk-about-building-ai-apps/ What we don’t talk about when we talk about building AI appsVicki Boykis7/17/23 8:00 PM “From the technical perspective, here’s what we don’t discuss when we talk about deepContinue readingWhat I Read: What we don’t talk about

What I Read: When NumPy slow

By Andrew Fairless on August 15, 2023July 9, 2023

https://pythonspeed.com/articles/numpy-is-slow/ When NumPy is too slowby Itamar Turner-TrauringLast updated 27 Jun 2023, originally created 27 Jun 2023 “What should you do when your NumPy-based code is too slow?”

What I Read: speed up Numba and NumPy

By Andrew Fairless on August 1, 2023June 15, 2023

https://pythonspeed.com/articles/speeding-up-numba/ Understanding CPUs can help speed up Numba and NumPy codeby Itamar Turner-TrauringLast updated 08 Jun 2023, originally created 07 Jun 2023 “In practice, your initial Numba code may beContinue readingWhat I Read: speed up Numba and NumPy

What I Read: Kubernetes, Batch

By Andrew Fairless on July 25, 2023June 15, 2023

https://betterprogramming.pub/kubernetes-was-never-designed-for-batch-jobs-f59be376a338 Kubernetes Was Never Designed for Batch JobsAnd what it would look like if it had beenMeadowrunSep 1, 2022 “…Kubernetes is philosophically biased towards microservices over batch jobs. This resultsContinue readingWhat I Read: Kubernetes, Batch

What I Read: Scaling Up

By Andrew Fairless on July 6, 2023May 31, 2023

https://motherduck.com/blog/the-simple-joys-of-scaling-up/ The Simple Joys of Scaling UpJordan Tigani2023/05/11 “If you can do the job on a single machine, isn’t that going to be a better alternative?”

What I Read: Against LLM

By Andrew Fairless on June 29, 2023May 31, 2023

https://explosion.ai/blog/against-llm-maximalism Against LLM maximalismby Matthew HonnibalMay 18, 2023 “However, LLMs are not a direct solution to most of the NLP use-cases companies have been working on… if you want toContinue readingWhat I Read: Against LLM

What I Read: MLOps, Data Engineering

By Andrew Fairless on May 18, 2023May 1, 2023

https://www.cpard.xyz/posts/mlops_is_mostly_data_engineering/ MLOps is Mostly Data Engineering.22 March 2023Kostas Pardalis “The question here is… why do we need a whole new category of products?… The true need here is developer toolingContinue readingWhat I Read: MLOps, Data Engineering

Tag: software engineering