Francisco Javier Arceo
@franciscojarceo.bsky.social
Open source AI @ Red Hat | Maintainer of Feast (the open source feature store) | Ex Affirm,
Fast, Goldman Sachs | Columbia alum | My silly opinions
Fast, Goldman Sachs | Columbia alum | My silly opinions
Reposted by Francisco Javier Arceo
🚀 Exciting news from the Kubeflow community!
Welcome Francisco Javier Arceo & Julius von Kohout to the Kubeflow Steering Committee! 🎉 Huge thanks to Mathew Wicks, Josh Bottum, & James Wu for their leadership & dedication. More information: groups.google.com/g/kubeflow-d...
#Kubeflow #OpenSource #AI
Welcome Francisco Javier Arceo & Julius von Kohout to the Kubeflow Steering Committee! 🎉 Huge thanks to Mathew Wicks, Josh Bottum, & James Wu for their leadership & dedication. More information: groups.google.com/g/kubeflow-d...
#Kubeflow #OpenSource #AI
Welcome to Our New Kubeflow Steering Committee Members
groups.google.com
January 13, 2025 at 5:39 PM
🚀 Exciting news from the Kubeflow community!
Welcome Francisco Javier Arceo & Julius von Kohout to the Kubeflow Steering Committee! 🎉 Huge thanks to Mathew Wicks, Josh Bottum, & James Wu for their leadership & dedication. More information: groups.google.com/g/kubeflow-d...
#Kubeflow #OpenSource #AI
Welcome Francisco Javier Arceo & Julius von Kohout to the Kubeflow Steering Committee! 🎉 Huge thanks to Mathew Wicks, Josh Bottum, & James Wu for their leadership & dedication. More information: groups.google.com/g/kubeflow-d...
#Kubeflow #OpenSource #AI
Reposted by Francisco Javier Arceo
🚀 Feast + Kubeflow? The Feast maintainers are proposing to donate Feast to Kubeflow!
Join the discussion & share your thoughts! 👇 github.com/kubeflow/com...
Link to original post: groups.google.com/g/kubeflow-d...
#Kubeflow #Feast #MLOps #AI #MachineLearning #GenerativeAI #FeatureStore
Join the discussion & share your thoughts! 👇 github.com/kubeflow/com...
Link to original post: groups.google.com/g/kubeflow-d...
#Kubeflow #Feast #MLOps #AI #MachineLearning #GenerativeAI #FeatureStore
Proposal: Adoption of Feast to Kubeflow · Issue #804 · kubeflow/community
History with Kubeflow Feast has a long history with Kubeflow, as an add-on and previously included in the manifest dating back to March of 2021. After discussing with the @feast-dev maintainers and...
github.com
February 4, 2025 at 12:49 PM
🚀 Feast + Kubeflow? The Feast maintainers are proposing to donate Feast to Kubeflow!
Join the discussion & share your thoughts! 👇 github.com/kubeflow/com...
Link to original post: groups.google.com/g/kubeflow-d...
#Kubeflow #Feast #MLOps #AI #MachineLearning #GenerativeAI #FeatureStore
Join the discussion & share your thoughts! 👇 github.com/kubeflow/com...
Link to original post: groups.google.com/g/kubeflow-d...
#Kubeflow #Feast #MLOps #AI #MachineLearning #GenerativeAI #FeatureStore
I’ve been elected to the @kubefloworg.bsky.social Steering Committee! 🎉
Kubeflow is the open-source AI platform that makes AI/ML simple, portable, and scalable that was originally introduced by @googlesearch.bsky.social.
If you're building in AI, let’s connect! 💪
Kubeflow is the open-source AI platform that makes AI/ML simple, portable, and scalable that was originally introduced by @googlesearch.bsky.social.
If you're building in AI, let’s connect! 💪
January 19, 2025 at 5:59 PM
I’ve been elected to the @kubefloworg.bsky.social Steering Committee! 🎉
Kubeflow is the open-source AI platform that makes AI/ML simple, portable, and scalable that was originally introduced by @googlesearch.bsky.social.
If you're building in AI, let’s connect! 💪
Kubeflow is the open-source AI platform that makes AI/ML simple, portable, and scalable that was originally introduced by @googlesearch.bsky.social.
If you're building in AI, let’s connect! 💪
basically my life right now
January 10, 2025 at 5:44 PM
basically my life right now
Reposted by Francisco Javier Arceo
The reason I think it's important to spread the message that using modern AI tools is difficult is that I don't want people being embarrassed to ask questions about how to use them - or quietly assuming they "aren't smart enough" and giving up
General consensus in the replies and quotes of this seems to be that the entire concept of "AI skills" is a joke - how hard is typing text into a chatbot, really?
I will continue to argue that it's genuinely difficult, and that the challenge in using these tools is widely underestimated
I will continue to argue that it's genuinely difficult, and that the challenge in using these tools is widely underestimated
No, they're not caught between anything. Stop it. The fact that AI may be used or useful in future jobs does not create a single dilemma at all for college students in how to actually complete their coursework. This is all nonsense & excuses for not doing the reading & learning how to think & write.
January 7, 2025 at 6:30 PM
The reason I think it's important to spread the message that using modern AI tools is difficult is that I don't want people being embarrassed to ask questions about how to use them - or quietly assuming they "aren't smart enough" and giving up
With all of the talks of AI Agents, I decided to outline what needs to happen for AI Agents to be successful.
And I condensed it into this silly diagram.
If you want to learn more read my latest article: www.chaos-engineering.dev/p/the-end-of...
And I condensed it into this silly diagram.
If you want to learn more read my latest article: www.chaos-engineering.dev/p/the-end-of...
December 4, 2024 at 12:01 PM
With all of the talks of AI Agents, I decided to outline what needs to happen for AI Agents to be successful.
And I condensed it into this silly diagram.
If you want to learn more read my latest article: www.chaos-engineering.dev/p/the-end-of...
And I condensed it into this silly diagram.
If you want to learn more read my latest article: www.chaos-engineering.dev/p/the-end-of...
Reposted by Francisco Javier Arceo
The rise of foundation models has incentivized a diversification of skillsets in both software engineering and AI research itself.
For most software engineers, being well rounded is more important than pure technical mastery. 1/3
For most software engineers, being well rounded is more important than pure technical mastery. 1/3
December 2, 2024 at 12:14 PM
The rise of foundation models has incentivized a diversification of skillsets in both software engineering and AI research itself.
For most software engineers, being well rounded is more important than pure technical mastery. 1/3
For most software engineers, being well rounded is more important than pure technical mastery. 1/3
Reposted by Francisco Javier Arceo
For anyone interested in fine-tuning or aligning LLMs, I’m running this free and open course called smol course. It’s not a big deal, it’s just smol.
🧵>>
🧵>>
December 3, 2024 at 9:21 AM
For anyone interested in fine-tuning or aligning LLMs, I’m running this free and open course called smol course. It’s not a big deal, it’s just smol.
🧵>>
🧵>>
Reposted by Francisco Javier Arceo
A special LLM course focusing on Smol models, the <2B parameters generic models which can run on-device/in-browser
For anyone interested in fine-tuning or aligning LLMs, I’m running this free and open course called smol course. It’s not a big deal, it’s just smol.
🧵>>
🧵>>
December 3, 2024 at 11:51 AM
A special LLM course focusing on Smol models, the <2B parameters generic models which can run on-device/in-browser
What's a feature in the context of AI/ML?
Anything that is input to a matrix used to generate a prediction.
That means:
- prompts
- context
- numbers in a matrix
And all of that can be used by a Feature Store
Anything that is input to a matrix used to generate a prediction.
That means:
- prompts
- context
- numbers in a matrix
And all of that can be used by a Feature Store
December 3, 2024 at 4:12 PM
What's a feature in the context of AI/ML?
Anything that is input to a matrix used to generate a prediction.
That means:
- prompts
- context
- numbers in a matrix
And all of that can be used by a Feature Store
Anything that is input to a matrix used to generate a prediction.
That means:
- prompts
- context
- numbers in a matrix
And all of that can be used by a Feature Store
prompt engineering = vibes engineering
November 27, 2024 at 4:47 PM
prompt engineering = vibes engineering
Reject Vibes based AI!
anytime someone asks me how they should get started developing with LLMs
November 27, 2024 at 4:46 PM
Reject Vibes based AI!
Evals are all you need.
anytime someone asks me how they should get started developing with LLMs
November 27, 2024 at 4:46 PM
Evals are all you need.
Reposted by Francisco Javier Arceo
anytime someone asks me how they should get started developing with LLMs
November 27, 2024 at 4:43 PM
anytime someone asks me how they should get started developing with LLMs
Reposted by Francisco Javier Arceo
Merkle Trees are such a powerful data structure for distributed systems. They can allow you save a lot of bandwidth for the small cost of re-computing hashes of data. They also are what allow you to trust data retrieved from untrusted sources www.baeldung.com/cs/merkle-tr...
How Do Merkle Trees Work? | Baeldung on Computer Science
A quick and practical guide to Merkle trees.
www.baeldung.com
November 25, 2024 at 8:00 PM
Merkle Trees are such a powerful data structure for distributed systems. They can allow you save a lot of bandwidth for the small cost of re-computing hashes of data. They also are what allow you to trust data retrieved from untrusted sources www.baeldung.com/cs/merkle-tr...
The best part about working on open source is that you really do get to code for fun and for something that’s useful.
November 21, 2024 at 7:58 PM
The best part about working on open source is that you really do get to code for fun and for something that’s useful.
Reposted by Francisco Javier Arceo
Feature stores are the right foundation for serving data used for LLMs and GenAI.
A lot of different aspects of production AIbenefit from it.
It's what my entire goal is with Feast. I wrote more about in this article.
www.chaos-engineering.dev/p/production...
#machinelearning #ai #tech
A lot of different aspects of production AIbenefit from it.
It's what my entire goal is with Feast. I wrote more about in this article.
www.chaos-engineering.dev/p/production...
#machinelearning #ai #tech
Production Artificial Intelligence
On the future of Software and AI
www.chaos-engineering.dev
November 15, 2024 at 8:00 PM
Feature stores are the right foundation for serving data used for LLMs and GenAI.
A lot of different aspects of production AIbenefit from it.
It's what my entire goal is with Feast. I wrote more about in this article.
www.chaos-engineering.dev/p/production...
#machinelearning #ai #tech
A lot of different aspects of production AIbenefit from it.
It's what my entire goal is with Feast. I wrote more about in this article.
www.chaos-engineering.dev/p/production...
#machinelearning #ai #tech
Who is building with Milvus? Making some progress for plugging it into Feast so that embedding and features can join the party.
November 20, 2024 at 9:54 AM
Who is building with Milvus? Making some progress for plugging it into Feast so that embedding and features can join the party.
I am going to be running to be a Kubeflow Steering Committee member and am very excited about the opportunity to make an impact.
November 18, 2024 at 7:57 PM
I am going to be running to be a Kubeflow Steering Committee member and am very excited about the opportunity to make an impact.
Reposted by Francisco Javier Arceo
From an email:
"Do you know of any teams that have had positive experiences with offshore teams - where directors and eng managers were in the US, and devs in another country? Why and how did these teams work so well together?"
My take: this (almost always) will not work. Everyone learns...
"Do you know of any teams that have had positive experiences with offshore teams - where directors and eng managers were in the US, and devs in another country? Why and how did these teams work so well together?"
My take: this (almost always) will not work. Everyone learns...
November 17, 2024 at 10:54 AM
From an email:
"Do you know of any teams that have had positive experiences with offshore teams - where directors and eng managers were in the US, and devs in another country? Why and how did these teams work so well together?"
My take: this (almost always) will not work. Everyone learns...
"Do you know of any teams that have had positive experiences with offshore teams - where directors and eng managers were in the US, and devs in another country? Why and how did these teams work so well together?"
My take: this (almost always) will not work. Everyone learns...
I take an extraordinary amount of joy in seeing my incremental progress.
Building open source is best a little bit at a time and then sometimes a lot of bits.
Building open source is best a little bit at a time and then sometimes a lot of bits.
November 16, 2024 at 7:31 PM
I take an extraordinary amount of joy in seeing my incremental progress.
Building open source is best a little bit at a time and then sometimes a lot of bits.
Building open source is best a little bit at a time and then sometimes a lot of bits.
Feature stores are the right foundation for serving data used for LLMs and GenAI.
A lot of different aspects of production AIbenefit from it.
It's what my entire goal is with Feast. I wrote more about in this article.
www.chaos-engineering.dev/p/production...
#machinelearning #ai #tech
A lot of different aspects of production AIbenefit from it.
It's what my entire goal is with Feast. I wrote more about in this article.
www.chaos-engineering.dev/p/production...
#machinelearning #ai #tech
Production Artificial Intelligence
On the future of Software and AI
www.chaos-engineering.dev
November 15, 2024 at 8:00 PM
Feature stores are the right foundation for serving data used for LLMs and GenAI.
A lot of different aspects of production AIbenefit from it.
It's what my entire goal is with Feast. I wrote more about in this article.
www.chaos-engineering.dev/p/production...
#machinelearning #ai #tech
A lot of different aspects of production AIbenefit from it.
It's what my entire goal is with Feast. I wrote more about in this article.
www.chaos-engineering.dev/p/production...
#machinelearning #ai #tech
Reposted by Francisco Javier Arceo
Excited to finally release the python bindings for our embeddable stream processing engine 🎉
`pip install denormalized`
Check out the API docs at probably-nothing-labs.github.io/denormalized...
And the Code over at github.com/probably-not...
`pip install denormalized`
Check out the API docs at probably-nothing-labs.github.io/denormalized...
And the Code over at github.com/probably-not...
denormalized/py-denormalized at main · probably-nothing-labs/denormalized
Embeddable stream processing engine based on Apache DataFusion - probably-nothing-labs/denormalized
github.com
November 15, 2024 at 6:40 PM
Excited to finally release the python bindings for our embeddable stream processing engine 🎉
`pip install denormalized`
Check out the API docs at probably-nothing-labs.github.io/denormalized...
And the Code over at github.com/probably-not...
`pip install denormalized`
Check out the API docs at probably-nothing-labs.github.io/denormalized...
And the Code over at github.com/probably-not...