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FunctionalTVArchive

SF Scala: Holden Karau: Metaprogramming — making easy problems hard enough to get promoted ....

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FunctionalTV2023

SF Scala: Anatolii Kmetiuk, James Thompson and Guillaume Martres

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FunctionalTV2023

SF Scala: Lucas Kuczera Interview

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FunctionalTV2023

Scale By the Bay 2023 intro video by Tikhon Jelvis

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FunctionalTV2023

Scale By the Bay 2023 intro video by Jonas Mueller

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FunctionalTV2023

Scale By the Bay 2023 intro video by Ofer Mendelevitch

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FunctionalTV2023

Scale By the Bay 2023 intro video by Avi Press

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FunctionalTV2023

Scale By the Bay 2023 intro video by Shadaj Laddad

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FunctionalTV2023

Scale By the Bay 2023 intro video by Stewart Stewart

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FunctionalTV2023

Scale By the Bay 2023 intro video by Julien Le Dem

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FunctionalTV2023

LLM Avalanche: Alex Morrise: Graphistry

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FunctionalTV2023

LLM Avalanche: Charles Martin: AI is hard; LLMs can overfit

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FunctionalTV2023

LLM Avalanche: Nikunj Bajaj: The $360000 Question:Understanding the LLM Economics

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FunctionalTV2023

LLM Avalanche: Nick Vidal: Open Source AI

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FunctionalTV2023

LLM Avalanche: Mihail Eric: Storia

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FunctionalTV2023

LLM Avalanche: Drew Minkin: Dolly-LLaMa: Unlocking LLM on a Budget

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FunctionalTV2023

LLM Avalanche: Govind Gnanakumar: Firewall for LLMs

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FunctionalTV2023

LLM Avalanche: William A. Gaviria Rojas: LLMs in Production

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FunctionalTV2023

LLM Avalanche Beyang Liu: Building Cody, a context-awareAI coding tool

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FunctionalTV2023

Shreya Rajpal: Practical Guardrails for your AI applications

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FunctionalTV2023

LLM Avalanche: David Talby · Delivering Safe and Effective LLM Applications Using the Open-Source...

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FunctionalTV2023

LLM Avalanche: Xingyang Gang : Building Simple and Scalable Training Framework for LLMs

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FunctionalTV2023

LLM Avalanche: Aakrati Talati : Function Serving in the Lakehouse: Delivering Personalized Context..

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FunctionalTV2023

Chip Huyen · The LLM sandwich -- the data layer before and after LLMs

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FunctionalTV2023

LLM Avalanche: Jerry Liu · Data Considerations for building more Production-ready LLM Applications

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FunctionalTV2023

LLM Avalanche: Maria Vechtomova · Why is MLOps (and LLMOps) booming and how you can catch up?

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FunctionalTV2023

LLM Avalance: Anshul Ramachandran: The things we learned while building a successful LLM application

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FunctionalTV2023

LLM Avalanche: Stefan Krawczyk: Hamilton is a Python Micro-Framework for Describing Dataflows

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FunctionalTV2023

LLM Avalanche: Panel: Build & Risks

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FunctionalTV2023

LLM Avalanche: Panel: Trust

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FunctionalTV2023

LLM Avalanche: Panel: Performance

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FunctionalTV2023

LLM Avalanche: Panel: Enteprise & Deployment

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FunctionalTV2023

Scale By the Bay 2023 intro video by Evan Chan

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FunctionalTV2023

Scale By the Bay 2023 intro video by Sinan Pehlivanoglu

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FunctionalTV2023

Scale By the Bay 2023 intro video by Viktor Gamov

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FunctionalTV2023

Scale By the Bay 2023 intro video by Fabiana Clemente

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FunctionalTV2023

Scale By the Bay 2023 intro video by Annie Talvasto

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FunctionalTV2023

Scale By the Bay 2023 intro video by Denis Magda

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FunctionalTV2023

Scale By the Bay 2023 intro video by Dipankar Mazumdar

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FunctionalTV2023

Scale By the Bay 2023 intro video by Jim Dowling

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FunctionalTV2023

Highlights of our venue! Scale by the Bay.

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FunctionalTV2023

Scale By The Bay is back!

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FunctionalTVArchive

Bay.Area.AI: Lukas Biewald, Understanding the Landscape of the Latest Large Models

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FunctionalTVArchive

Bay.Area.AI: John Andersen, AI-Powered Personalization Drives Decision Intelligence

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FunctionalTVArchive

An Introduction to Transactions in Apache Pulsar by Jowanza Joseph

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FunctionalTV2022

SF Scala: Michael Pilquist, fs2.Chunk

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FunctionalTV2021

Scale By The Bay 2021 : Panel : Startups and the ML landscape

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FunctionalTV2021

Scale By The Bay 2021 : Adam Gibson, Deploying & serving optimized ML pipelines using graalvm

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