Канал: MLOps Learners

[Book club] Designing Machine Learning Systems: Chapter 11 (Final Chapter)

[Book club] Designing Machine Learning Systems: Chapter 11 (Final Chapter)

Future of DataFrames and Data Systems with Wes McKinney (creator of pandas and Apache Arrow)

Future of DataFrames and Data Systems with Wes McKinney (creator of pandas and Apache Arrow)

[Book club] Designing Machine Learning Systems: Chapter 10

[Book club] Designing Machine Learning Systems: Chapter 10

[Book club] Designing Machine Learning Systems: Chapter 9

[Book club] Designing Machine Learning Systems: Chapter 9

[Book club] Designing Machine Learning Systems: Chapter 8

[Book club] Designing Machine Learning Systems: Chapter 8

[Book club] Designing Machine Learning Systems: Chapter 7

[Book club] Designing Machine Learning Systems: Chapter 7

GPU optimization workshop with OpenAI, NVIDIA, PyTorch, and Voltron Data

GPU optimization workshop with OpenAI, NVIDIA, PyTorch, and Voltron Data

[Book club] Designing Machine Learning Systems: Chapter 6

[Book club] Designing Machine Learning Systems: Chapter 6

[Book club] Designing Machine Learning Systems: Chapter 5

[Book club] Designing Machine Learning Systems: Chapter 5

[Book club] Designing Machine Learning Systems: Chapter 4

[Book club] Designing Machine Learning Systems: Chapter 4

Lessons learned from building cool products (winners of MLOps Discord demos)

Lessons learned from building cool products (winners of MLOps Discord demos)

[Book club] Designing Machine Learning Systems: Chapter 3

[Book club] Designing Machine Learning Systems: Chapter 3

State and memory management for LLMs (with creator of MemGPT )

State and memory management for LLMs (with creator of MemGPT )

[Book club] Designing Machine Learning Systems: Chapter 2

[Book club] Designing Machine Learning Systems: Chapter 2

RAG Workshop with Langchain and LlamaIndex

RAG Workshop with Langchain and LlamaIndex

[Book club] Designing Machine Learning Systems: Chapter 1 (@ChipHuyen , O'Reilly 2022)

[Book club] Designing Machine Learning Systems: Chapter 1 (@ChipHuyen , O'Reilly 2022)

Machine Learning Interviews - Kickstart Your Machine Learning and Data Career

Machine Learning Interviews - Kickstart Your Machine Learning and Data Career

DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines

DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines

Understanding LLaMa 2 with Thomas Scialom (Llama 2 creator)

Understanding LLaMa 2 with Thomas Scialom (Llama 2 creator)

MLOps with the Hugging Face Ecosystem (Merve Noyan)

MLOps with the Hugging Face Ecosystem (Merve Noyan)

QLoRA: Efficient Finetuning of Quantized Large Language Models (Tim Dettmers)

QLoRA: Efficient Finetuning of Quantized Large Language Models (Tim Dettmers)

Scaling an Anti-Fraud Platform: What Didn't Work and What Did (Lyubomira Dimitrova)

Scaling an Anti-Fraud Platform: What Didn't Work and What Did (Lyubomira Dimitrova)

Vector Database for Large Language Models in Production

Vector Database for Large Language Models in Production

The Evolution of Robinhood Markets' Feature Store - Beast

The Evolution of Robinhood Markets' Feature Store - Beast

StarCoder: Advancing Large Language Models for Code (Loubna Ben Allal - HuggingFace)

StarCoder: Advancing Large Language Models for Code (Loubna Ben Allal - HuggingFace)

An Introduction to Language Model Safety ( Thu Vu)

An Introduction to Language Model Safety ( Thu Vu)

18 months of building a ML Platform at a Startup (Denys Linkov - Voiceflow)

18 months of building a ML Platform at a Startup (Denys Linkov - Voiceflow)

SRE and ML: Why It Matters (Todd Underwood)

SRE and ML: Why It Matters (Todd Underwood)

Chronon - Airbnb's Feature Engineering Framework (Nikhil Simha)

Chronon - Airbnb's Feature Engineering Framework (Nikhil Simha)

Resume critique session

Resume critique session

How WhatsApp catches and fights abuse (Ritesh Bajaj)

How WhatsApp catches and fights abuse (Ritesh Bajaj)

Reinforcement Learning in Industry (Susan Shu Chang)

Reinforcement Learning in Industry (Susan Shu Chang)

Graph Neural Networks: Theory, Problem, and Approaches (Kyle Kranen & Ekaterina Sirazitdinova)

Graph Neural Networks: Theory, Problem, and Approaches (Kyle Kranen & Ekaterina Sirazitdinova)

Machine Learning in Cybersecurity: Lessons from the Field (Jeremy Jordan)

Machine Learning in Cybersecurity: Lessons from the Field (Jeremy Jordan)

Towards Observability for Production Machine Learning Pipelines [Shreya Shankar]

Towards Observability for Production Machine Learning Pipelines [Shreya Shankar]

Testing Recommender Systems (Jacopo Tagliabue)

Testing Recommender Systems (Jacopo Tagliabue)

ML System Design Jam: Session Based Recommender System

ML System Design Jam: Session Based Recommender System

ML System Design Jam: Recsys Session 2 - Wide and Deep Learning by Jin Yun Soo and Han-chung Lee

ML System Design Jam: Recsys Session 2 - Wide and Deep Learning by Jin Yun Soo and Han-chung Lee

ML System Design Jam: Recsys Session 1 (Google’s intro to RecSys ) by Chloe He

ML System Design Jam: Recsys Session 1 (Google’s intro to RecSys ) by Chloe He

MLOps Learner Live Stream

MLOps Learner Live Stream