Apr. 2023 |
Intro to AI Observability: Monitoring ML Models & Data in Production |
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Apr. 2023 |
ML Model Performance Monitoring with WhyLabs |
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Apr. 2023 |
Making Big Data Problems Small - Kevin Kho, Engineer at Fugue |
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Apr. 2023 |
Model Serving & Monitoring with BentoML + WhyLabs |
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Apr. 2023 |
What is Data Centric AI - Magdalena Konkiewicz, Data Evangelist at Toloka |
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May. 2023 |
Intro to AI Observability: Monitoring ML Models & Data in Production |
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May. 2023 |
How to Strategize for DataOps and MLOps - Ketan Umare, CEO at Union AI |
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May. 2023 |
WhyLabs and Databricks: Simplifying ML Monitoring in Complex Environments |
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May. 2023 |
Applications of Edge AI - Dickson Neoh, Ph D, Developer Advocate at ZenML |
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May. 2023 |
Build and Monitor Computer Vision Models with TensorFlow/Keras + WhyLabs |
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May. 2023 |
MLOps and DataOps - Stephen Bailey, Data Engineer at Whatnot |
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May. 2023 |
Intro to ML Monitoring: Data Drift, Quality, Bias and Explainability |
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Jun. 2023 |
Intro to AI Observability: Monitoring ML Models & Data in Production |
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Jun. 2023 |
Monitoring Large Language Models in Production using OpenAI & WhyLabs |
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Jun. 2023 |
Solving LLM Data Hurdles: Strategies for Success - Yujian Tang, Zilliz |
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Jun. 2023 |
Why Graph Query Language Matters - Jason Koo, Developer Advocate at Neo4j |
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Jul. 2023 |
Intro to LLM Monitoring in Production with LangKit & WhyLabs |
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Jul. 2023 |
LLMs in Production: Lessons Learned - Joe Heitzeberg, CEO Blueprint AI |
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Aug. 2023 |
Intro to ML Monitoring: Data Drift, Quality, Bias and Explainability |
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Aug. 2023 |
Combining the Power of LLMs with Computer Vision - Jacob Marks, Voxel51 |
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Aug. 2023 |
Harpreet Sahota | Building Better Computer Vision Models - The Robust & Responsible AI Podcast |
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Aug. 2023 |
Build and Monitor Computer Vision Models with TensorFlow/Keras + WhyLabs |
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Sep. 2023 |
Monitoring LLMs in Production with Hugging Face & WhyLabs |
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Sep. 2023 |
Intro to AI Observability: Monitoring ML Models & Data in Production |
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Sep. 2023 |
Monitoring LLMs in Production using OpenAI, LangChain & WhyLabs |
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Sep. 2023 |
Monitoring AI Models for Bias & Fairness with Segmentation |
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Oct. 2023 |
Intro to LLM Monitoring in Production with LangKit & WhyLabs |
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Oct. 2023 |
Intro to ML Monitoring: Data Drift, Quality, Bias and Explainability |
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Oct. 2023 |
Create and Monitor LLM Summarization Apps using OpenAI and WhyLabs |
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Oct. 2023 |
Intro to LLM Security - OWASP Top 10 for Large Language Models (LLMs) |
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Nov. 2023 |
New course with WhyLabs and DeepLearning.AI: Quality and Safety for LLM Applications |
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Nov. 2023 |
Intro to LLM Security - OWASP Top 10 for Large Language Models (LLMs) |
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Dec. 2023 |
Monitoring LLMs in Production with Hugging Face and WhyLabs |
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Dec. 2023 |
From Eyeballing to Excellence: 7 Ways to Evaluate & Monitor LLM Performance |
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Jan. 2024 |
Monitoring LLMs in Production using LangChain and WhyLabs |
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Feb. 2024 |
Decode, Detect, Diagnose Your LLM: Troubleshooting User Behavior Changes & Performance Drift |
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Feb. 2024 |
Preventing Threats to LLMs: Detecting Prompt Injections & Jailbreak Attacks |
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Mar. 2024 |
Mitigating LLM Risk in Insurance: Chatbots and Data Collection |
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Apr. 2024 |
Monitoring LLMs in Production using LangChain and WhyLabs |
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Apr. 2024 |
Reacting in Real-Time: Guardrails and Active Monitoring for LLMs |
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May. 2024 |
WhyLabs AI Control Center: Demo and Q&A |
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May. 2024 |
WhyLabs AI Control Center |
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May. 2024 |
Securing and Controlling LLM Applications With LangChain and WhyLabs |
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May. 2024 |
LLM Security and Control With Hugging Face and WhyLabs |
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May. 2024 |
Safety in LLMs Using Chain-of-Thought: Lessons From Constitutional AI |
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Jun. 2024 |
Monitoring Distributed ML Systems at Massive Scale with Spark & Databricks |
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Jul. 2024 |
Finding the Right Datasets and Metrics for Evaluating LLM Performance |
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Jul. 2024 |
Current state-of-the-art on LLM Prompt Injections and Jailbreaks |
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