Have a long flight so time to do a thread on a question I get in some form at least half dozen times a week

Where will value accrue in AI from here

Think: foundation models, apps, middleware, full-stack blah blah blah etc

“AI-Native companies” were Larry’s clear prediction back in May ‘22, before we had any inkling of the AI breakthroughs that lay around the corner.

But great entrepreneurs like Larry Augustin use their experience AND their imagination to see around corners, and into the future.

Take a minute to learn about LLMs in serious production applications from the co-founder of Firebase and CEO of Shortwave … incredibly practical.

The OpenTF Manifesto has been declared in response to HashiCorp’s move to renege on the community promise explicit in the MPL: github.com/opentffoundati…

Betrayal Source License

I'm psyched to share this timely interview with Daniel Lenton - I learned a lot from him. We touched on reproducibility, transpilers for ML frameworks, and a bit on Flash Attention as well.

Give it a listen!

If you haven't checked out Shortwave yet, you really should - especially if you liked Google Inbox!

Ben Galbraith Dion Almaer FYI

Pushed the first cut of my weekend hack project. Well like 3 weekends.

It’s called LLM-J a pure Java LLM inference engine. I wanted to learn how LLMs work and try out Java 20+ so here we are.

It supports GPT-2 and Llama 2 (well almost).

github.com/tjake/llm-j

If you’re a…

I jumped at the chance to interview Demetrios who has built an amazing community of ML and LLM practitioners with curiosity, empathy, and constancy.

Drop in to hear what he’s learned over the last few years and especially what it’s like now in the hyperspeed era in AI! #MLOps

I'm delighted to share a quick introduction to these three leaders in data, AI, and systems. Take two minutes to watch and enhance your brain!

I've been interested in the idea of memory, especially long-term memory, for LLMs.

Some thoughts on the latest research for those looking for a quick introduction to the topic:

tinyurl.com/5n8wfw5s

Vector Search is coming to Apache Cassandra and is now in beta for AstraDB. astra.datastax.com

LangChain and OpenAI integrations at cassio.org

Read the announcement here datastax.com/blog/introduci…

#llm #cassandra #ai #vectorsearch

A new episode is here! Sam Ramji 🇺🇦 and omoju discuss Web3, putting reputation on code with ML, and the fascinating story behind fimio.

Tune in: datastax.com/resources/podc…

#OpenSourceData #Web3 #FutureInternet #ML #Fimio

Just got to the Omni Interlocken and feeling that #GlueCon hype! Defrag Mike Maney

A short and sweet conversation on #datamesh and nextdata with the wonderfully observant and insightful Sam Ramji 🇺🇦 youtu.be/H4g9mSerftA

Part 2 of the AI-ecosystem discussion is here!
Sam Ramji 🇺🇦 sits down with @charnaparkey and Sam Bean to discuss the AI-native stack in practice.

Tune in: dtsx.io/charnapsambosd

#AInative #AIecosystem DataStax You.com

This conversation leveled me up in understanding the shape of the AI-Native Stack.

Come hang out with Mikiko, Zain, and Tuana to hear about how Embedding Providers, Neural Frameworks, Feature Stores, and Vector Search Engines come together like Voltron for AI-driven experiences.

I watched missionjoy.org last night. It's an extraordinary conversation between two people who have spent their lifetimes working to overcome hardship and create peace at national scales.

It's a 90-minute dive into kindness. Enjoy the journey.

Featureform is moving fast and fixing things. If you're interested in feature stores, take a look at the v0.6 release that went out today. There's a lot to like!

🧠 What does the #AINative Stack look like? 🤔

💬Awesome convo w/ Sam Ramji 🇺🇦 , Zain Hasan, Tuana about virtual #featurestores (@FeatureformML ), #vectorsearch (@weaviate_io ), & #nlp frameworks (@deepset_ai ).

👉A common theme was the importance of empathy-as-a-feature…