Recommendation Systems Dev Summit

TensorFlow · Advanced ·🧬 Deep Learning ·3y ago

Key Takeaways

The video covers Recommendation Systems with a focus on Large Language Models (LLMs) and TensorFlow, featuring expert talks and resources on TensorFlow Recommenders, PaLM API, and more.

Original Description

Learn from the top experts in the industry about Recommendation Systems Resources: Recommendation Systems Developer Summit 2023 homepage → https://goo.gle/445dKOQ Recommendation systems landing page → https://goo.gle/3qXZl8m TensorFlow Recommenders → https://goo.gle/3itIV3A PaLM API → https://goo.gle/46teH4W Augmenting recommendation systems with LLMs (blog) → https://goo.gle/3ptwSHm Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction (paper) → https://goo.gle/3ppgCqD TensorFlow Agents→ https://goo.gle/3XAZv1W Recommendations with TF Agents blog post → https://goo.gle/46ohoF8 TF Agents Bandits end-to-end examples → https://goo.gle/430Nl3u TensorFlow Ranking → https://goo.gle/430Nl3u Google Rax → https://goo.gle/3PF6tRD Scaling deep retrieval with TensorFlow Recommenders and Vertex AI Matching Engine (blog) → https://goo.gle/431cOtt Recommender Systems with Generative Retrieval (paper) → https://goo.gle/3PBNfwc TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings (paper) → https://goo.gle/3NtFHZI Machine Learning for Snapchat Ad Ranking → https://goo.gle/46o2Fdl JAX TPU embedding → https://goo.gle/3r2USkW Dynamic embedding RFC → https://goo.gle/3JXWraD
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Playlist

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1 The TensorFlow YouTube Channel is Here!
The TensorFlow YouTube Channel is Here!
TensorFlow
 2 Answering Your TF Questions #AskTensorFlow
Answering Your TF Questions #AskTensorFlow
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 3 Chatting With the TensorFlow Community (TensorFlow Meets)
Chatting With the TensorFlow Community (TensorFlow Meets)
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 4 All About TensorFlow Code (Coding TensorFlow)
All About TensorFlow Code (Coding TensorFlow)
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 5 TensorFlow: an ML platform for solving impactful and challenging problems
TensorFlow: an ML platform for solving impactful and challenging problems
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 6 Keynote (TensorFlow Dev Summit 2018)
Keynote (TensorFlow Dev Summit 2018)
TensorFlow
 7 tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)
tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)
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 8 Eager Execution (TensorFlow Dev Summit 2018)
Eager Execution (TensorFlow Dev Summit 2018)
TensorFlow
 9 Machine Learning in JavaScript (TensorFlow Dev Summit 2018)
Machine Learning in JavaScript (TensorFlow Dev Summit 2018)
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 10 Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)
Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)
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 11 The Practitioner's Guide with TF High Level APIs (TensorFlow Dev Summit 2018)
The Practitioner's Guide with TF High Level APIs (TensorFlow Dev Summit 2018)
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 12 Distributed TensorFlow (TensorFlow Dev Summit 2018)
Distributed TensorFlow (TensorFlow Dev Summit 2018)
TensorFlow
 13 Debugging TensorFlow with TensorBoard plugins (TensorFlow Dev Summit 2018)
Debugging TensorFlow with TensorBoard plugins (TensorFlow Dev Summit 2018)
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 14 TensorFlow Lite (TensorFlow Dev Summit 2018)
TensorFlow Lite (TensorFlow Dev Summit 2018)
TensorFlow
 15 Searching Over Ideas (TensorFlow Dev Summit 2018)
Searching Over Ideas (TensorFlow Dev Summit 2018)
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 16 Reconstructing Fusion Plasmas (TensorFlow Dev Summit 2018)
Reconstructing Fusion Plasmas (TensorFlow Dev Summit 2018)
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 17 Nucleus: TensorFlow toolkit for Genomics (TensorFlow Dev Summit 2018)
Nucleus: TensorFlow toolkit for Genomics (TensorFlow Dev Summit 2018)
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 18 Open Source Collaboration (TensorFlow Dev Summit 2018)
Open Source Collaboration (TensorFlow Dev Summit 2018)
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 19 Swift for TensorFlow - TFiwS (TensorFlow Dev Summit 2018)
Swift for TensorFlow - TFiwS (TensorFlow Dev Summit 2018)
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 20 TensorFlow Hub (TensorFlow Dev Summit 2018)
TensorFlow Hub (TensorFlow Dev Summit 2018)
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 21 Applied AI at The Coca-Cola Company (TensorFlow Dev Summit 2018)
Applied AI at The Coca-Cola Company (TensorFlow Dev Summit 2018)
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 22 Real-World Robot Learning (TensorFlow Dev Summit 2018)
Real-World Robot Learning (TensorFlow Dev Summit 2018)
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 23 TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018)
TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018)
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 24 Project Magenta (TensorFlow Dev Summit 2018)
Project Magenta (TensorFlow Dev Summit 2018)
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 25 TensorFlow Dev Summit 2018 - Livestream
TensorFlow Dev Summit 2018 - Livestream
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 26 Introducing TensorFlow Lite (Coding TensorFlow)
Introducing TensorFlow Lite (Coding TensorFlow)
TensorFlow
 27 TensorFlow Dev Summit 2018 Highlights
TensorFlow Dev Summit 2018 Highlights
TensorFlow
 28 Jeff Dean, Head of AI at Google discusses the impact of ML (TensorFlow Meets)
Jeff Dean, Head of AI at Google discusses the impact of ML (TensorFlow Meets)
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 29 TensorFlow Mobile vs. TF Lite and More! #AskTensorFlow
TensorFlow Mobile vs. TF Lite and More! #AskTensorFlow
TensorFlow
 30 Using TensorFlow to enable research & production across many fields (TensorFlow Meets)
Using TensorFlow to enable research & production across many fields (TensorFlow Meets)
TensorFlow
 31 Teaching TensorFlow for Deep Learning at Stanford University (TensorFlow Meets)
Teaching TensorFlow for Deep Learning at Stanford University (TensorFlow Meets)
TensorFlow
 32 TensorFlow Lite for Android (Coding TensorFlow)
TensorFlow Lite for Android (Coding TensorFlow)
TensorFlow
 33 Using the tf.data API to build input pipelines (TensorFlow Meets)
Using the tf.data API to build input pipelines (TensorFlow Meets)
TensorFlow
 34 Training Models in the Cloud & the Benefits of AI Toolkits #AskTensorFlow
Training Models in the Cloud & the Benefits of AI Toolkits #AskTensorFlow
TensorFlow
 35 Execute operations immediately with TensorFlow's Eager Execution (TensorFlow Meets)
Execute operations immediately with TensorFlow's Eager Execution (TensorFlow Meets)
TensorFlow
 36 TensorFlow Lite for iOS (Coding TensorFlow)
TensorFlow Lite for iOS (Coding TensorFlow)
TensorFlow
 37 Get started with TensorFlow's High-Level APIs (Google I/O '18)
Get started with TensorFlow's High-Level APIs (Google I/O '18)
TensorFlow
 38 TensorFlow for JavaScript (Google I/O '18)
TensorFlow for JavaScript (Google I/O '18)
TensorFlow
 39 TensorFlow in production: TF Extended, TF Hub, and TF Serving (Google I/O '18)
TensorFlow in production: TF Extended, TF Hub, and TF Serving (Google I/O '18)
TensorFlow
 40 Get started with TensorFlow's High-Level APIs in 5 mins | Google I/O 2018
Get started with TensorFlow's High-Level APIs in 5 mins | Google I/O 2018
TensorFlow
 41 TensorFlow and deep reinforcement learning, without a PhD (Google I/O '18)
TensorFlow and deep reinforcement learning, without a PhD (Google I/O '18)
TensorFlow
 42 TensorFlow Lite for mobile developers (Google I/O '18)
TensorFlow Lite for mobile developers (Google I/O '18)
TensorFlow
 43 Advances in machine learning and TensorFlow (Google I/O '18)
Advances in machine learning and TensorFlow (Google I/O '18)
TensorFlow
 44 Distributed TensorFlow training (Google I/O '18)
Distributed TensorFlow training (Google I/O '18)
TensorFlow
 45 Classification using neural networks & ML regression models #AskTensorFlow
Classification using neural networks & ML regression models #AskTensorFlow
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 46 TensorFlow and Keras in R - Josh Gordon meets with J.J. Allaire (TensorFlow Meets)
TensorFlow and Keras in R - Josh Gordon meets with J.J. Allaire (TensorFlow Meets)
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 47 Focus on your experiment with TensorFlow Estimators (TensorFlow Meets)
Focus on your experiment with TensorFlow Estimators (TensorFlow Meets)
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 48 How to get started with AI/ML, retraining models, & more! #AskTensorFlow
How to get started with AI/ML, retraining models, & more! #AskTensorFlow
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 49 TensorFlow - the deep learning solution for mobile platforms (TensorFlow Meets)
TensorFlow - the deep learning solution for mobile platforms (TensorFlow Meets)
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 50 MiniGo: TensorFlow Meets Andrew Jackson (TensorFlow Meets)
MiniGo: TensorFlow Meets Andrew Jackson (TensorFlow Meets)
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 51 The growth of TensorFlow with added support for JS & Swift (TensorFlow Meets)
The growth of TensorFlow with added support for JS & Swift (TensorFlow Meets)
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 52 At the intersection of TensorFlow & nuclear physics (TensorFlow Meets)
At the intersection of TensorFlow & nuclear physics (TensorFlow Meets)
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 53 NVidia TensorRT: high-performance deep learning inference accelerator (TensorFlow Meets)
NVidia TensorRT: high-performance deep learning inference accelerator (TensorFlow Meets)
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 54 Try TensorFlow.js in your browser (Coding TensorFlow)
Try TensorFlow.js in your browser (Coding TensorFlow)
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 55 TensorFlow Hub: reusing machine learning modules (TensorFlow Meets)
TensorFlow Hub: reusing machine learning modules (TensorFlow Meets)
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 56 How to use TensorFlow in PyCharm (TensorFlow Tip of the Week)
How to use TensorFlow in PyCharm (TensorFlow Tip of the Week)
TensorFlow
 57 Training models faster with TensorFlow Hub (TensorFlow Meets)
Training models faster with TensorFlow Hub (TensorFlow Meets)
TensorFlow
 58 Prepare your dataset for machine learning (Coding TensorFlow)
Prepare your dataset for machine learning (Coding TensorFlow)
TensorFlow
 59 Using ML to predict insulin use for Type 1 Diabetes (TensorFlow Meets)
Using ML to predict insulin use for Type 1 Diabetes (TensorFlow Meets)
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 60 TFX: an end-to-end machine learning platform for TensorFlow (TensorFlow Meets)
TFX: an end-to-end machine learning platform for TensorFlow (TensorFlow Meets)
TensorFlow

This video provides an in-depth look at Recommendation Systems, focusing on the application of Large Language Models (LLMs) and TensorFlow. Experts share their knowledge on building, evaluating, and deploying LLM-based recommendation systems, highlighting key tools and techniques such as TensorFlow Recommenders and PaLM API.

Key Takeaways
  1. Explore TensorFlow Recommenders and its applications
  2. Evaluate LLMs on user rating prediction using the PaLM API
  3. Design and implement LLM-based recommendation systems with TensorFlow Agents
  4. Optimize LLMs for recommendation tasks using Vertex AI Matching Engine
  5. Deploy LLMs with TensorFlow Recommenders and Google Rax
💡 LLMs can be effectively used to improve recommendation systems, but require careful evaluation and optimization to achieve optimal results.

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