Mathis Lucka: How to Feed Facts to Large Language Models and Reduce Hallucination. Published 2023-06-20 Download video MP4 360p Download video MP4 720p Recommendations 29:52 Nandana Sreeraj: Thou Shall Judge But With Fairness: Methods to Ensure an Unbiased Model 09:38 Why Large Language Models Hallucinate 59:56 Ties de Kok - Going beyond ChatGPT: introduction to prompt engineering & LLMs | PyData Seattle 2023 34:40 How to Leverage the Full Potential of LLMs for Your Business with Langchain - Leon Ruddat 08:51 LLM Limitations and Hallucinations 18:08 Deriving the Ultimate Neural Network Architecture from Scratch #SoME3 34:52 Grounding Medical Q&A using ChatGPT plugins and Knowledge Graphs 33:55 Beyond Toy Datasets: Timeseries Forecasting for Real Business Problems - Robert Haase 1:02:33 Peter Voss Reveals the Future of Artificial General Intelligence | Eye on AI #141 18:27 How to learn any language in six months | Chris Lonsdale | TEDxLingnanUniversity 09:19 Functional Programming & Haskell - Computerphile 2:39:06 PyData Heidelberg #11 - TimeSeries Forecasting & LLM Langchain 39:55 Ines Montani (spaCy) - Large Language Models from Prototype to Production [PyData Südwest] 3:31:03 A conversation between Nassim Nicholas Taleb and Stephen Wolfram at the Wolfram Summer School 2021 2:46:03 The 3 Year AI Reset: How To Get Ahead While Others Lose Their Jobs (Prepare Now) | Emad Mostaque 3:56:03 Kubernetes 101 workshop - complete hands-on 08:40 Reducing Hallucinations in LLMs | Retrieval QA w/ LangChain + Ray + Weights & Biases 3:28:36 Certified Scrum Master Full Course | Scrum Master Training | Scrum Master Course | Simplilearn 3:36:55 NOAM CHOMSKY - THE GHOST IN THE MACHINE 52:50 Tech talk: A practical introduction to Bayesian hierarchical modelling