Events Archive

October 2023
October 11, 2023 @ 10:15 am – 11:00 am PDT

Community Paper Reading: RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models

Virtual , United States
October 12, 2023 @ 5:30 pm – 8:30 pm PDT

Deploying, Evaluating, and Tracing LLM Apps with Arize Phoenix and BentoML

San Francisco, CA San Francisco, CA, United States
October 16, 2023 @ 10:00 am – 11:00 am PDT

LLM Evaluation Essentials: Statistical Analysis of Hallucination LLM Evaluations

Virtual , United States
October 17, 2023 @ 9:00 am – 9:30 am PDT

Spans and Traces for LLM Observability: Part One

Virtual , United States
October 24, 2023 @ 9:00 am – 9:30 am PDT

Spans and Traces for LLM Observability: Part Two

Virtual , United States
October 25, 2023 @ 11:00 am – 11:25 am PDT

AI DevWorld: Approaches for Measuring Embedding/Vector Drift for Language Models with Aman Khan

Santa Clara, CA
October 25, 2023 @ 11:00 am – 12:00 pm PDT

Panel: Building Responsible and Compliant Generative AI

Virtual , United States
October 30, 2023 @ 5:30 pm – 9:00 pm PDT

Global AI Dev Day – Seattle | Towards Effective LLM Observability

Seattle, WA
November 2023
November 1, 2023 @ 11:00 am – 11:45 am PDT

ODSC West | Troubleshooting LLMs in Production with Embeddings and Evals

Burlingame, CA
November 7, 2023 @ 9:00 am – 9:30 am PST

LLM Observability: Evaluations – Part 1

Virtual , United States
November 8, 2023 @ 10:15 am – 11:00 am PST

Community Paper Reading [ft. LLM Researcher Samuel Marks]: The Geometry of Truth: Emergent Linear Structure in LLM Representation of True/False Datasets

Virtual , United States
November 14, 2023 @ 9:00 am – 9:30 am PST

LLM Observability: Evaluations – Part 2

Virtual , United States

Arize AX

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Insights

Company

Arize AX

Learn

Insights

Company

October 2023

Community Paper Reading: RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models

Deploying, Evaluating, and Tracing LLM Apps with Arize Phoenix and BentoML

LLM Evaluation Essentials: Statistical Analysis of Hallucination LLM Evaluations

Spans and Traces for LLM Observability: Part One

Spans and Traces for LLM Observability: Part Two

AI DevWorld: Approaches for Measuring Embedding/Vector Drift for Language Models with Aman Khan

Panel: Building Responsible and Compliant Generative AI

Global AI Dev Day – Seattle | Towards Effective LLM Observability

November 2023

ODSC West | Troubleshooting LLMs in Production with Embeddings and Evals

LLM Observability: Evaluations – Part 1

Community Paper Reading [ft. LLM Researcher Samuel Marks]: The Geometry of Truth: Emergent Linear Structure in LLM Representation of True/False Datasets

LLM Observability: Evaluations – Part 2

Arize AX

Learn

Insights

Company

October 2023

November 2023

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