Sign in

PyData Boston

@pydatabos.bsky.social
39 followers 14 following 108 posts

The official account for PyData Boston on Bluesky!

PostsRepliesMedia
PyData Boston @pydatabos.bsky.social · 01/10/2026
AI may continue old patterns of redlining in new decisions #pydatabos
000
PyData Boston @pydatabos.bsky.social · 01/10/2026
Closing us out - bias detection and mitigation in AI #pydatabos
000
PyData Boston @pydatabos.bsky.social · 01/10/2026
What actually is a request when it comes to LLMs? #pydatabos
000
PyData Boston @pydatabos.bsky.social · 01/10/2026
Next up Sebastian Walkotter on the costs of hosting Llama #pydatabos
000
PyData Boston @pydatabos.bsky.social · 01/10/2026
Reliability and observability in agent design #pydatabos
000
PyData Boston @pydatabos.bsky.social · 01/10/2026
Pydata Boston is back in action with a special three-course meal of delicious talks! Starting with Krithika Murugesan on building AI systems #pydatabos
000
PyData Boston @pydatabos.bsky.social · 29/07/2026
Last but not least one of the best branded projects I've seen
000
PyData Boston @pydatabos.bsky.social · 29/07/2026
IBM has a coding agent! BOB! Looks pretty interesting
010
PyData Boston @pydatabos.bsky.social · 28/07/2026
Interesting view of how parallelization increases efficiency (in gpu compute processes)
000
PyData Boston @pydatabos.bsky.social · 28/07/2026
Key point - if you have low utilization on GPU the cost per token is very high but high utilization is cheaper per token. Balance that against the API cost from a provider
000
PyData Boston @pydatabos.bsky.social · 28/07/2026
Celebrity Pydata member Sebastian Wallkötter presenting on token costs!
020
PyData Boston @pydatabos.bsky.social · 28/07/2026
OpenRAG open source project for offloading the RAG pipeline building
000
PyData Boston @pydatabos.bsky.social · 28/07/2026
Rag vs direct context where it works best
000
PyData Boston @pydatabos.bsky.social · 28/07/2026
At IBMs hacking agents meetup. Some interesting talks coming up will post some of what I'm learning
000
PyData Boston @pydatabos.bsky.social · 14/05/2026
Back at it again! PyData Boston + Cursor hackathon
030
PyData Boston @pydatabos.bsky.social · 06/05/2026
Double feature by @fayshaw.bsky.social !
020
PyData Boston @pydatabos.bsky.social · 05/05/2026
Popping in to Boston Python meetup for @fayshaw.bsky.social's talk on LASER for learning analysis github.com/laser-instit...
020
PyData Boston @pydatabos.bsky.social · 30/04/2026
#odsc @allendowney.bsky.social difference in life expectancy over time between men and women
010
PyData Boston @pydatabos.bsky.social · 30/04/2026
#odsc Pydata frequent flyer and great dude @allendowney.bsky.social doing his Bayesian best at ODSC
020
PyData Boston @pydatabos.bsky.social · 30/04/2026
Using LLMs to better "model" how a piece of software works based on tests and contextual information #odsc
000
PyData Boston @pydatabos.bsky.social · 30/04/2026
Analysis bottleneck - coding tools mean more code to review, and there's only so many reviewers #odsc
000
PyData Boston @pydatabos.bsky.social · 30/04/2026
Briefly stopping by #ODSC - liked this statement that AGI isn't necessary for societal improvements
000
PyData Boston @pydatabos.bsky.social · 30/04/2026
Open source foundation model for time series - MOMENT github.com/moment-times...
000
PyData Boston @pydatabos.bsky.social · 30/04/2026
Just what is time series classification?
000
PyData Boston @pydatabos.bsky.social · 30/04/2026
#pydata our next speakers Abhishek Murthy and Evans Addo about time series analysis
000
PyData Boston @pydatabos.bsky.social · 30/04/2026
#pydatabos setting up an experiment to see how LLMs treat speaker transitions
000
PyData Boston @pydatabos.bsky.social · 30/04/2026
#pydatabos interesting diagram for explaining transformers poloclub.github.io/transformer-...
000
PyData Boston @pydatabos.bsky.social · 30/04/2026
#pydatabos LLMs vs humans as participants in studies
000
PyData Boston @pydatabos.bsky.social · 30/04/2026
#pydatabos first up is Julia Mertens on LLMs hallucinating speaker transitions
000
PyData Boston @pydatabos.bsky.social · 30/04/2026
#pydatabos back at it for April!
000
PyData Boston @pydatabos.bsky.social · 26/03/2026
#pydatabos different flavors of graphs
000
PyData Boston @pydatabos.bsky.social · 26/03/2026
#pydatabos our second speaker on sparql-tool how to have your agent use knowledge graphs
000
PyData Boston @pydatabos.bsky.social · 25/03/2026
#pydatabos interesting use of color to draw attention to specific parts of the visual
000
PyData Boston @pydatabos.bsky.social · 25/03/2026
#pydatabos two different ways to use the gofish syntax
000
PyData Boston @pydatabos.bsky.social · 25/03/2026
#pydatabos Grouping principles behind the gofish visualization library
000
PyData Boston @pydatabos.bsky.social · 25/03/2026
#pydatabos visualization of this "shrinking" trend is easy to miss depending on the choice of visual
000
PyData Boston @pydatabos.bsky.social · 25/03/2026
#pydatabos welcome back! Pydata Boston March meetup (madness)!
000
PyData Boston @pydatabos.bsky.social · 26/02/2026
#pydatabos recommended approach to building with AI agents
000
PyData Boston @pydatabos.bsky.social · 26/02/2026
#pydatabos Part 2 of our cursor tutorial with Sebastian!
000
PyData Boston @pydatabos.bsky.social · 26/02/2026
#pydatabos our February event! Focused on an introduction to building with Cursor
000
PyData Boston @pydatabos.bsky.social · 29/01/2026
#pydatabos architecture of the Informed Consent Form workflow at Vertex
000
PyData Boston @pydatabos.bsky.social · 29/01/2026
#pydatabos the Vertex journey for incorporating data science into clinical trial operations
000
PyData Boston @pydatabos.bsky.social · 29/01/2026
#pydatabos our second speaker Lily Xu on a combined traditional + Gen AI use case
000
PyData Boston @pydatabos.bsky.social · 29/01/2026
#pydatabos new RAG approaches focus more on knowledge graphs vs embeddings
000
PyData Boston @pydatabos.bsky.social · 29/01/2026
#pydatabos expecting your user to frame the question correctly is ambitious - embeddings just take the query at its word
000
PyData Boston @pydatabos.bsky.social · 29/01/2026
#pydatabos - I like this terminology - indexing vs query phase it's more specific for capturing this
000
PyData Boston @pydatabos.bsky.social · 29/01/2026
#pydatabos Context rot - more irrelevant context worse quality
000
PyData Boston @pydatabos.bsky.social · 29/01/2026
#pydatabos Back in action for 2026 - starting with Griffin Bishop on embeddings for RAG
001
PyData Boston @pydatabos.bsky.social · 10/12/2025
#pydatabos Jupyter extension popularity per category
030
PyData Boston @pydatabos.bsky.social · 10/12/2025
#pydatabos closing us out! Talking about the Jupyter extension ecosystem
020