Building an EPL Insider app that keeps you up to date on everything in the English Premier League. It reads all the injury and transfer news and can query up-to-date match stats.
MVP is live.
๐ Try it: https://t.co/lNtaefmx7U
๐ How I built it so far: https://t.co/zGvsSrXi3n
Sharing everything as I build it. Feedback welcome ๐
What are you using for LLM evals and observability?
The more I talk to AI engineers, the more it seems like everyone is asking this question โ and it seems like there isn't a clear winner.
Over the weekend I set up Arize Phoenix to collect traces for my EPL Insider chatbot. I chose Phoenix because of how simple it was to set up and because Arize has been championing thought leadership in this space, such as creating OpenInference.
What tools are you using for evaluations? Drop it below ๐
@heyblake Building an EPL Insider app that keeps you up to date on everything in the English Premier League.
๐ Check it out: https://t.co/kYJZ7nCf7k
Building an EPL Insider app that helps you stay up to date on everything in the English Premier League. It reads all the injury and transfer news and can query for up-to-date match stats. And it answers like a proper fan.
MVP is live. Sharing everything as I build it.
๐ Try it: https://t.co/lNtaefmx7U
๐ How I built it so far: https://t.co/zGvsSrXi3n
Feedback welcome ๐
Members of Twitter's ethical AI team learned they had been laid off early this morning, according to tweets by those affected.
Twitter's ML Ethics, Transparency & Accountability team has been responsible for studying algo decisionmaking, building AI fairness tools & more. (1/6)
"85% of machine learning projects never get to production, according to @Gartner_inc," says @calypsoai CEO @neil_sere at @CogX_Festival. "The biggest reason for that is a fear around 'If I deploy my #ML into production, how do I know it will work as expected?'"
Wondering how the stock market did during the year of COVID-19? Check out my latest article which breaks down the performance of the S&P500 in 2020!
#stockmarket#stocks#investing#datascience#analytics
https://t.co/LoE1QFzOlF
Ursa Labs received a generous grant from @ChanZuckerberg to offer 1-year open source fellowships working on @ApacheArrow, with the goal of promoting diversity & inclusion among the project's contributors/maintainers. Read more: https://t.co/t4sYhMBiGC
I'm on the job market. I develop computational frameworks for analyzing conversations, building on NLP, computational social science, and more. Job materials and ideas on the "and more" at https://t.co/8WaGIeMSci. If you're hiring and think I'd be a good fit, please reach out!
Thinking about getting started in Data Science writing but feeling discouraged about how many hours you need to put in?
Check out my latest article where I argue that you don't need to spend hours every day to be successful!
#datascience#writingtips
https://t.co/LKaho6t7LU
Check out this amazing article on dealing with the quarantine by my friend and colleague @stonej_! The article highlights similar times In history and how we can be productive without putting too much pressure on ourselves.
Iโm trying something new during this quarantine period: writing.
My debut essay looks at our quarantined lives from a historical lens and the lessons we can glean from past pandemics.
Check it out here:
https://t.co/WF7BSvIzYK