[twitter][algorithm]
https://tweethunter.io/blog/twitter-algorithm-full-analysis
https://tweethunter.io/blog/twitter-algorithm-full-analysis
[platform engineering]
https://medium.com/hashicorp-engineering/platform-engineering-on-the-hashicorp-ecosystem-part-1-84fb314e833e
https://medium.com/hashicorp-engineering/platform-engineering-on-the-hashicorp-ecosystem-part-1-84fb314e833e
Medium
Platform Engineering on the HashiCorp Ecosystem— Part 1
The goal of this series is to provide a practical guide on how to facilitate a multi-tenant developer PaaS using the HashiCorp ecosystem
[llm][document index demo]
https://gpt-index.readthedocs.io/en/latest/examples/index_structs/doc_summary/DocSummary.html
https://gpt-index.readthedocs.io/en/latest/examples/index_structs/doc_summary/DocSummary.html
[llm]
TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks
“While LLMs have shown great success in understanding and generating text in traditional conversational settings, their potential for performing ill-defined complex tasks is largely under-studied. Indeed, we are yet to conduct comprehensive benchmarking studies with multiple LLMs that are exclusively focused on a complex task. However, conducting such benchmarking studies is challenging because of the large variations in LLMs' performance when different prompt types/styles are used and different degrees of detail are provided in the prompts. To address this issue, the paper proposes a general taxonomy that can be used to design prompts with specific properties in order to perform a wide range of complex tasks.”
https://arxiv.org/abs/2305.11430
TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks
“While LLMs have shown great success in understanding and generating text in traditional conversational settings, their potential for performing ill-defined complex tasks is largely under-studied. Indeed, we are yet to conduct comprehensive benchmarking studies with multiple LLMs that are exclusively focused on a complex task. However, conducting such benchmarking studies is challenging because of the large variations in LLMs' performance when different prompt types/styles are used and different degrees of detail are provided in the prompts. To address this issue, the paper proposes a general taxonomy that can be used to design prompts with specific properties in order to perform a wide range of complex tasks.”
https://arxiv.org/abs/2305.11430
❤1
[architecture][uber clone]
Juraj Majerik dedicated about 7 months (a total of ~300 hours) to create a simulated version of a ride-sharing app (akin to Uber) as a side project. He described each step in his blog:
https://rides.jurajmajerik.com/system-design
Juraj Majerik dedicated about 7 months (a total of ~300 hours) to create a simulated version of a ride-sharing app (akin to Uber) as a side project. He described each step in his blog:
https://rides.jurajmajerik.com/system-design
🔥3
[leadership]
I found that quite crucial to leave here along with the technical articles.
https://youtu.be/ljqra3BcqWM
I found that quite crucial to leave here along with the technical articles.
https://youtu.be/ljqra3BcqWM
YouTube
Extreme Ownership | Jocko Willink | TEDxUniversityofNevada
NOTE FROM TED: This talk contains a discussion of violence and warfare. We've flagged this talk because it falls outside the content guidelines TED gives TEDx organizers. TEDx events are independently organized by volunteers. The guidelines we give TEDx organizers…
👍3
[lectures][data science]
CS109A Data Science course materials @Harvard are free and open to everyone!
1. Lecture notes
2. R code, Python notebooks
3. Lab material
4. Advanced sections
https://harvard-iacs.github.io/2019-CS109A/pages/materials.html
CS109A Data Science course materials @Harvard are free and open to everyone!
1. Lecture notes
2. R code, Python notebooks
3. Lab material
4. Advanced sections
https://harvard-iacs.github.io/2019-CS109A/pages/materials.html
👍1
[scaling][cadence]
https://www.uber.com/en-NL/blog/announcing-cadence/
https://www.uber.com/en-NL/blog/announcing-cadence/
👍2
[crdt][local-first]
Research around Collaborative applications and how they behave offline and with merge conflicts.
https://www.inkandswitch.com/local-first/
Research around Collaborative applications and how they behave offline and with merge conflicts.
https://www.inkandswitch.com/local-first/
Inkandswitch
Local-first software: You own your data, in spite of the cloud
A new generation of collaborative software that allows users to retain ownership of their data.
[crdt][dynamic documents]
The previous article is based on 2019 knowledge. Since that time some things have changed.
https://www.inkandswitch.com/potluck/
Here is an example you can play with:
https://www.inkandswitch.com/potluck/demo/?openDocument=aeropress
The previous article is based on 2019 knowledge. Since that time some things have changed.
https://www.inkandswitch.com/potluck/
Here is an example you can play with:
https://www.inkandswitch.com/potluck/demo/?openDocument=aeropress
Inkandswitch
Potluck: Dynamic documents as personal software
Gradually enriching text documents into interactive applications
[microservice][monolith]
These days there are blog posts appear from the major players in tech how they migrate back to monolith. Here is the short video about the current state as well as it covers a way to go with deploying distributed apps.
https://www.youtube.com/watch?v=tkLSqHiTXHk
These days there are blog posts appear from the major players in tech how they migrate back to monolith. Here is the short video about the current state as well as it covers a way to go with deploying distributed apps.
https://www.youtube.com/watch?v=tkLSqHiTXHk
YouTube
Service Weaver: A Framework for Writing Distributed Systems | Robert Grandl
Service Weaver (serviceweaver.dev) is a programming framework that makes it easy to write, deploy, and manage cloud applications in Go. It allows you to postpone some of the hard decisions about how to split your application into microservices until later…
👍1