Deepchecks

Previous Events

End-2-End Evaluation of RAG-Based Applications | LLM Evaluation
End-2-End Evaluation of RAG-Based Applications | LLM Evaluation
LLM Application Observability | Deepchecks Evaluation
LLM Application Observability | Deepchecks Evaluation
Config-Driven Development for LLMs: Versioning, Routing, & Evaluating LLMs
Config-Driven Development for LLMs: Versioning, Routing, & Evaluating LLMs
Fine-tuning LLMs with Hugging Face SFT πŸ€—
Fine-tuning LLMs with Hugging Face SFT πŸ€—
The Science of LLM Benchmarks: Methods, Metrics, and Meanings
The Science of LLM Benchmarks: Methods, Metrics, and Meanings πŸš€
Orchestrating RAG: Retrieval, Canopy, & Pinecone πŸš€
Orchestrating RAG: Retrieval, Canopy, & Pinecone πŸš€
Evaluating LLM-Based Apps: New Product Release πŸš€
Evaluating LLM-Based Apps: New Product Release πŸš€
Securing AI & LLM based Applications: Best Practices
Securing AI & LLM based Applications: Best Practices πŸš€
Advanced RAG: Chunking, Embeddings, and Vector Databases
Advanced RAG: Chunking, Embeddings, and Vector Databases
Building Large Language Model Powered Apps: Best Practices
Building Large Language Model Powered Apps: Best Practices πŸš€
Leveraging Open-Source Large Language Models (LLMs) for Production
Leveraging Open-Source Large Language Models (LLMs) for Production πŸš€
Building an LLMOps Stack for Large Language Models
Building an LLMOps Stack for Large Language Models
Explainable Data Drift for NLP: Noam Bressler's Talk at Databricks' Data+AI Summit
Explainable Data Drift for NLP
Testing your NLP Models: Hands-On Tutorial
Testing your NLP Models:
Hands-On Tutorial
Event - Testing your NLP Models: Hands on tutorial
Testing your NLP Models:
Hands-On Tutorial
Evaluation, Testing and Tooling: Talks by ML & NLP Practitioners
Identifying and Preventing Key ML Pitfalls
How to Validate your Model & Data and Easily Avoid Common ML Pitfalls
Testing & Trusting Machine Learning Models
Testing and Evaluating ML Models
Why MLOps? The vast use of ML created a need for new solutions
Deep Learning Meetup: Advances in Computer Vision
Testing throughout the ML lifecycle (with Toloka.ai)
ML Validation Bootcamp for Creators/Writers
ML Validation Bootcamp
Test & Validate Your ML Models and Data – using Deepchecks x W&B
Deepchecks for Computer Vision: Community Feedback Before Release
February 7th 2022 – Community Call Summary

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