Live Event: Infer Summer ⛱️ | The engineering behind AI and ML. ➡
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June 26, 2024 | 11AM EST
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Events & Webinars
Learn from our AI and ML experts how Qwak can your help your AI journey
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From Idea to Production: AI Infra for Scaling LLM Apps
Building LLM applications that smoothly scale in a fast-paced world
On Demand
From Idea to Production: AI Infra for Scaling LLM Apps
Guy Eshet
,
,
,
Tackling Model FOMO - Building Adaptive LLM Applications
Staying ahead in AI: strategies for adaptive LLM applications
On Demand
Tackling Model FOMO - Building Adaptive LLM Applications
Guy Eshet
,
,
,
The Life of a Feature - a Journey Through Space and Time
Enhancing ML accuracy by aligning time and features to avoid label leakage
On Demand
The Life of a Feature - a Journey Through Space and Time
Ron Tal
,
,
,
Dealing with Hallucinations
Balancing cost and quality in Generative AI models to reduce Hallucinations
On Demand
Dealing with Hallucinations
Jonathan Yarkoni
,
,
,
All You Need to Know About LLM Gateways
LLMOps and LLM Gateways: Enhancing AI with DevOps Integration
On Demand
All You Need to Know About LLM Gateways
Gad Benram
,
,
,
Key Principles for Running LLMs in Production
How to maximizing LLM Impact with tailored Generative AI solutions for diverse sectors
On Demand
Key Principles for Running LLMs in Production
Shaked Zychlinski
,
,
,
Mastering MLOps and ML Engineering: Key Strategies for 2024 with Yuval Fernbach
Infuse your plans for 2024 with valuable insights on ML
On Demand
Mastering MLOps and ML Engineering: Key Strategies for 2024 with Yuval Fernbach
Yuval Fernbach
,
,
,
Demo: How to use RAG with Langchain and Llama 2
Delivering context-aware interactions with Qwak
On Demand
Demo: How to use RAG with Langchain and Llama 2
Hudson Buzby
,
,
,
Notion's ML Engineering: Search & Ranking Models Using Snowflake & Qwak
Search and ranking models using Snowflake & Qwak
On Demand
Notion's ML Engineering: Search & Ranking Models Using Snowflake & Qwak
Hudson Buzby
,
Edward Zhou
,
Mike Klaczynski
,
Harness the power of Snowflake to build your ML applications
Building feature pipelines with your Snowflake data
On Demand
Harness the power of Snowflake to build your ML applications
Hudson Buzby
,
,
,
Building an Optimized ML Pipeline
The builders behind Superbet’s profanity detection model
On Demand
Building an Optimized ML Pipeline
Pavel Klushin
,
Filip Gvardijan
,
Zvonimir Cikojevic'
,
Mateja Iveta
Building AI Agents and Vector Search
Moving beyond OpenAI
On Demand
Building AI Agents and Vector Search
Guy Eshet
,
Gad Benram
,
,
Transforming the Future of AI and ML
Latest Trends and Innovations in MLOps 2.0
On Demand
Transforming the Future of AI and ML
Ran Romano
,
Sakib Dadi
,
,
MLOps 2.0
From research centric to production first
On Demand
MLOps 2.0
Yuval Fernbach
,
,
,
MLOps best practices for Generative AI
MLOps best practices for Generative AI
On Demand
MLOps best practices for Generative AI
Guy Eshet
,
,
,
Are Your MLOps Foundations ready to Scale in 2023
Get ahead of the curve with all your production MLOps needs
On Demand
Are Your MLOps Foundations ready to Scale in 2023
Yuval Fernbach
,
,
,
Streaming Aggregation - The Spark Behind Real Time ML
Efficient handling of multiple small and long time windows.
On Demand
Streaming Aggregation - The Spark Behind Real Time ML
Gal Lushi
,
,
,
A/B Testing ML Models In Production: Why, When, & How
ML models deployment strategies and planning effective your model rollout
On Demand
A/B Testing ML Models In Production: Why, When, & How
Yuval Fernbach
,
,
,
Lightricks Customer Story: Building A Recommendation Engine From Scratch
The hurdles of productionizing a recommendation engine
On Demand
Lightricks Customer Story: Building A Recommendation Engine From Scratch
Pavel Klushin
,
Shaked Zychlinski
,
,
Building vs. Buying Your ML Platform
What to consider before building or buying an ML platform
On Demand
Building vs. Buying Your ML Platform
Ran Romano
,
,
,
No items found.
From Idea to Production: AI Infra for Scaling LLM Apps
Building LLM applications that smoothly scale in a fast-paced world
On Demand
From Idea to Production: AI Infra for Scaling LLM Apps
Guy Eshet
,
,
,
Mastering MLOps and ML Engineering: Key Strategies for 2024 with Yuval Fernbach
Infuse your plans for 2024 with valuable insights on ML
On Demand
Mastering MLOps and ML Engineering: Key Strategies for 2024 with Yuval Fernbach
Yuval Fernbach
,
,
,
Demo: How to use RAG with Langchain and Llama 2
Delivering context-aware interactions with Qwak
On Demand
Demo: How to use RAG with Langchain and Llama 2
Hudson Buzby
,
,
,
Notion's ML Engineering: Search & Ranking Models Using Snowflake & Qwak
Search and ranking models using Snowflake & Qwak
On Demand
Notion's ML Engineering: Search & Ranking Models Using Snowflake & Qwak
Hudson Buzby
,
Edward Zhou
,
Mike Klaczynski
,
Harness the power of Snowflake to build your ML applications
Building feature pipelines with your Snowflake data
On Demand
Harness the power of Snowflake to build your ML applications
Hudson Buzby
,
,
,
Building an Optimized ML Pipeline
The builders behind Superbet’s profanity detection model
On Demand
Building an Optimized ML Pipeline
Pavel Klushin
,
Filip Gvardijan
,
Zvonimir Cikojevic'
,
Mateja Iveta
Building AI Agents and Vector Search
Moving beyond OpenAI
On Demand
Building AI Agents and Vector Search
Guy Eshet
,
Gad Benram
,
,
Transforming the Future of AI and ML
Latest Trends and Innovations in MLOps 2.0
On Demand
Transforming the Future of AI and ML
Ran Romano
,
Sakib Dadi
,
,
MLOps 2.0
From research centric to production first
On Demand
MLOps 2.0
Yuval Fernbach
,
,
,
MLOps best practices for Generative AI
MLOps best practices for Generative AI
On Demand
MLOps best practices for Generative AI
Guy Eshet
,
,
,
Are Your MLOps Foundations ready to Scale in 2023
Get ahead of the curve with all your production MLOps needs
On Demand
Are Your MLOps Foundations ready to Scale in 2023
Yuval Fernbach
,
,
,
Streaming Aggregation - The Spark Behind Real Time ML
Efficient handling of multiple small and long time windows.
On Demand
Streaming Aggregation - The Spark Behind Real Time ML
Gal Lushi
,
,
,
A/B Testing ML Models In Production: Why, When, & How
ML models deployment strategies and planning effective your model rollout
On Demand
A/B Testing ML Models In Production: Why, When, & How
Yuval Fernbach
,
,
,
Lightricks Customer Story: Building A Recommendation Engine From Scratch
The hurdles of productionizing a recommendation engine
On Demand
Lightricks Customer Story: Building A Recommendation Engine From Scratch
Pavel Klushin
,
Shaked Zychlinski
,
,
Building vs. Buying Your ML Platform
What to consider before building or buying an ML platform
On Demand
Building vs. Buying Your ML Platform
Ran Romano
,
,
,
On Demand
Tackling Model FOMO - Building Adaptive LLM Applications
On Demand
The Life of a Feature - a Journey Through Space and Time
On Demand
Dealing with Hallucinations
On Demand
All You Need to Know About LLM Gateways
On Demand
Key Principles for Running LLMs in Production
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