Events & Webinars
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AI Infra for Scaling LLM Apps: MLOps World
The challenges in building Generative AI and LLM apps

From Idea to Production: AI Infra for Scaling LLM Apps
Building LLM applications that smoothly scale in a fast-paced world

Tackling Model FOMO - Building Adaptive LLM Applications
Staying ahead in AI: strategies for adaptive LLM applications

The Life of a Feature - a Journey Through Space and Time
Enhancing ML accuracy by aligning time and features to avoid label leakage

Dealing with Hallucinations
Balancing cost and quality in Generative AI models to reduce Hallucinations

All You Need to Know About LLM Gateways
LLMOps and LLM Gateways: Enhancing AI with DevOps Integration

Key Principles for Running LLMs in Production
How to maximizing LLM Impact with tailored Generative AI solutions for diverse sectors

Mastering MLOps and ML Engineering: Key Strategies for 2024 with Yuval Fernbach
Infuse your plans for 2024 with valuable insights on ML

Demo: How to use RAG with Langchain and Llama 2
Delivering context-aware interactions with Qwak

Notion's ML Engineering: Search & Ranking Models Using Snowflake & Qwak
Search and ranking models using Snowflake & Qwak

Harness the power of Snowflake to build your ML applications
Building feature pipelines with your Snowflake data

AI Infra for Scaling LLM Apps: MLOps World
The challenges in building Generative AI and LLM apps

From Idea to Production: AI Infra for Scaling LLM Apps
Building LLM applications that smoothly scale in a fast-paced world

Mastering MLOps and ML Engineering: Key Strategies for 2024 with Yuval Fernbach
Infuse your plans for 2024 with valuable insights on ML

Demo: How to use RAG with Langchain and Llama 2
Delivering context-aware interactions with Qwak

Notion's ML Engineering: Search & Ranking Models Using Snowflake & Qwak
Search and ranking models using Snowflake & Qwak

Harness the power of Snowflake to build your ML applications
Building feature pipelines with your Snowflake data

Are Your MLOps Foundations ready to Scale in 2023
Get ahead of the curve with all your production MLOps needs

Streaming Aggregation - The Spark Behind Real Time ML
Efficient handling of multiple small and long time windows.

A/B Testing ML Models In Production: Why, When, & How
ML models deployment strategies and planning effective your model rollout

Tackling Model FOMO - Building Adaptive LLM Applications
Staying ahead in AI: strategies for adaptive LLM applications

The Life of a Feature - a Journey Through Space and Time
Enhancing ML accuracy by aligning time and features to avoid label leakage

Dealing with Hallucinations
Balancing cost and quality in Generative AI models to reduce Hallucinations