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# GenAI Buy
# Build
# Commercial
# Open Source
# QuantumBlack

[Exclusive] Gen AI Buy vs Build, Commercial vs Open Source

Do you build or buy? Check the QuantumBlack team discussing the different sides of buying vs building your own GenAI solution. Let's look at the trade-offs companies need to make - including some of the considerations of using black box solutions that do not provide transparency on what data sources were used. Whether you are a business leader or a developer exploring the space of GenAI, this talk provides you with valuable insights to prepare you for how you can be more informed and prepared for navigating this fast-moving space.
Ilona Logvinova
Nayur Khan
Mohamed Abusaid
Ilona Logvinova, Nayur Khan, Mohamed Abusaid & 1 more speaker · Feb 2nd, 2024
Popular topics
# Machine Learning
# Interview
# LLMs
# Presentation
# Monitoring
# Case Study
# Open Source
# Cultural Side
# Responsible AI
# Databricks
# Observability
# Recommender Systems
# Brix
# Analytic Assets
# QuantumBlack
# Python
# Pandas
# Fugue
# Large Language Models
Darek Kłeczek
Michelle Marie Conway
Oliver Chipperfield
Darek Kłeczek, Michelle Marie Conway, Oliver Chipperfield & 2 more speakers · Dec 15th, 2023

Weights & Biases Round-table // Model Management in a Regulated Environment

Step into the fascinating world of Language Model Management (LLMs) in a Regulated Environment! Join us for an enlightening chat where we'll explore the intricacies of managing models within highly regulated settings, focusing on compliance and effective strategies. This is your opportunity to be part of a dynamic conversation that delves into the challenges and best practices of Model Management in Regulated Environments. Secure your spot today and stay tuned for an enriching dialogue on navigating the complexities of navigating the regulated terrain. Don't miss out on the chance to broaden your understanding and connect with peers in the field!
# Model Management
# Regulated Environment
# Weights & Biases
Kevin Stumpf
Derek Salama
Eddie Esquivel
Kevin Stumpf, Derek Salama, Eddie Esquivel & 2 more speakers · Sep 26th, 2023

Tecton Round-table // Get your ML Application Into Production

Getting an ML application into production is more difficult than most teams expect—but with the right preparation, it can be done efficiently! Join us for this exclusive roundtable, where 4 machine learning experts from Tecton will discuss some of the most common challenges and best practices to avoid them. With over 35 years of combined experience in MLOps at companies like AWS, Google, Lyft, and Uber, and 15 years of experience at Tecton spent helping customers like FanDuel, Plaid, and HelloFresh getting ML models into production, the presenters will share how factors like organizational structure, use cases, tech stack, and more, can create different types of bottlenecks. They’ll also share best practices and lessons learned throughout their careers on how to overcome these challenges.
# ML Application
# Production
# Tecton 0.6