Conf42 Large Language Models (LLMs) 2024 - Online

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2025

Schedule

28 talks in 10 tracks

Premiere

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How well do LLMs detect anomalies in your data?

Chloe Caron Architect Developer at Theodo

2024-04-11 17:15:00

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Self-hosted LLMs across all your devices and GPUs

Michael Yuan Co-founder at Second State & WasmEdge

2024-04-11 17:45:00

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Automated Evaluation for your RAG Chatbot or Other Generative Tool

Abigail Haddad Lead Data Scientist at Capital Technology Group

2024-04-11 17:15:00

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Adding Generative AI to Real-Time Streaming Pipelines

Tim Spann Principal Developer Advocate at Cloudera

2024-04-11 17:45:00

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Transforming Content Creation with Collaborative AI: A Groundbreaking Approach

Chris Lele Data Science and Machine Learning Fellow at ElevateAICoaching.com

2024-04-11 18:15:00

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Operational excellence for your LLMs using Amazon Bedrock

Suraj Muraleedharan Principal Architect - Platform Engineering, Global Financial Services at AWS

2024-04-11 17:15:00

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Measuring hallucinations in RAG

Ofer Mendelevitch Developer Relations at Vectara

2024-04-11 17:45:00

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The future of search

Ben Fistein Co-Founder at Semantee.ai

2024-04-11 17:15:00

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Future of LLM's and Machine learning Productionization

Deepak Karunanidhi Associate Director - Data Science & Machine Learning at Novartis

2024-04-11 17:45:00

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Hallway track

Attendees, speakers & organisers are all invited to a video chat. Come to meet others, ask questions and hang out between: 2024-04-11 16:00:00 and 2024-04-11 17:00:00.

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Track: ai

Track: apis

Track: chatbots

Track: culture

Track: deep dive

Track: generative ai

Track: observability

Track: security

Track: tools

Track: transformation

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