Physicists and Machine Learning Researcher. Postdoctoral Scholar at the University of Southern California. Researcher at Information Sciences Institute.
During the meeting, I will describe the common pitfalls and best practices for working with Large Language Models (LLMs). After completing the webinar, you will be able to design a conversational search application and deploy a simple Retrieval-Augmented Generation (RAG) system.
Join my upcoming webinar on Tuesday, October 8, at 11 am BST / 12 pm (noon) CETS. We'll explore how to leverage the newest machine-learning advances to organize and transform unstructured data, bringing order to your data chaos. Registering today at https://t.co/vBKPpImLMw
@GermanCryptoInv@jonathan6620 No, you can not. However, to be frank, you can predict signals that can indicate that a quantum jump is about to occur, cf. recent paper by Minev 2019, https://t.co/Z3NG1LS9dg - but it only works in small time scales. Those jumps are completely unpredictable in the long term.
@jonathan6620@crypto_hal Fully agree. Besides, you don't have to even go into quantum mechanics. There exist classical (Newtonian) systems where non-deterministic behavior is present, e.g., see the "Norton's dome" by J. D. Norton in 2006: https://t.co/6Bx7PWMTA2
@rperezmarco @CGrunspan I was really impressed by your work. Clever approach and beautiful analytic results. You both presented it in reality interesting way. What can I say more? Thank you for your hard work and for advancing science.
An interesting twist to the BFT protocol presented by Dr D. Malkhi. By accepting a small liveness tradeoff, the protocol can accept a larger proportion of alive-but-corrupt (a-b-c) adversaries. More in https://t.co/n9VlJGQIDS #blockchain#research#security#BFT#tokenimics
Literature recommendation by Prof. A. Canidio from his lecture "Financial Incentives for Open Source Development: The Case of Blockchain". #blockchain#research#tokenomics
Prof. C. Grunspan and Prof. R. Pรฉrez-Marco presented an anaclitic formula describing selfish mining strategy. Previously selfish mining was simulated using Markov Chains. More on https://t.co/3gsDxT5RHx #blockchain#research#security#SelfishMining#tokenomics
Together with my colleague Daniel Honerkamp we presented in Paris a minimal agency consensus protocol developed by @fetch_ai that reduces the monopolistic power of the blockchain round-leader. #tokenomics#tokenomics2019