Telegram Group & Telegram Channel
🧠 RL Journal Club: This Week's Session

🤝 We invite you to join us for this week's RL Journal Club session, where we will explore the intriguing synergies between Reinforcement Learning (RL) and Large Language Models (LLMs). This session will delve into how these two powerful fields intersect, offering new perspectives and opportunities for advancement in AI research.

This Week's Presentation:

🔹 Title: Synergies Between RL and LLMs
🔸 Presenter: Moein Salimi
🌀 Abstract: In this presentation, we will review research studies that combine Reinforcement Learning (RL) and Large Language Models (LLMs), two domains that have been significantly propelled by deep neural networks. The discussion will center around a novel taxonomy proposed in the paper, categorizing the interaction between RL and LLMs into three main classes: RL4LLM, where RL enhances LLM performance in NLP tasks; LLM4RL, where LLMs assist in training RL models for non-NLP tasks; and RL+LLM, where both models work together within a shared planning framework. The presentation will explore the motivations behind these synergies, their successes, potential challenges, and avenues for future research.

The presentation will be based on the following paper:

▪️ The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models (https://arxiv.org/abs/2402.01874)

Session Details:

📅 Date: Tuesday
🕒 Time: 3:30 - 5:00 PM
🌐 Location: Online at https://vc.sharif.edu/ch/rohban
📍 For in-person attendance, please message me on Telegram at @alirezanobakht78

☝️ Note: The discussion is open to everyone, but we can only host students of Sharif University of Technology in person.

💯 This session promises to be an enlightening exploration of how RL and LLMs can work together to push the boundaries of AI research. Don’t miss this opportunity to deepen your understanding and engage in thought-provoking discussions!

✌️ We look forward to your participation!

#RLJClub #JClub #RIML #SUT #AI #RL #LLM



tg-me.com/RIMLLab/132
Create:
Last Update:

🧠 RL Journal Club: This Week's Session

🤝 We invite you to join us for this week's RL Journal Club session, where we will explore the intriguing synergies between Reinforcement Learning (RL) and Large Language Models (LLMs). This session will delve into how these two powerful fields intersect, offering new perspectives and opportunities for advancement in AI research.

This Week's Presentation:

🔹 Title: Synergies Between RL and LLMs
🔸 Presenter: Moein Salimi
🌀 Abstract: In this presentation, we will review research studies that combine Reinforcement Learning (RL) and Large Language Models (LLMs), two domains that have been significantly propelled by deep neural networks. The discussion will center around a novel taxonomy proposed in the paper, categorizing the interaction between RL and LLMs into three main classes: RL4LLM, where RL enhances LLM performance in NLP tasks; LLM4RL, where LLMs assist in training RL models for non-NLP tasks; and RL+LLM, where both models work together within a shared planning framework. The presentation will explore the motivations behind these synergies, their successes, potential challenges, and avenues for future research.

The presentation will be based on the following paper:

▪️ The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models (https://arxiv.org/abs/2402.01874)

Session Details:

📅 Date: Tuesday
🕒 Time: 3:30 - 5:00 PM
🌐 Location: Online at https://vc.sharif.edu/ch/rohban
📍 For in-person attendance, please message me on Telegram at @alirezanobakht78

☝️ Note: The discussion is open to everyone, but we can only host students of Sharif University of Technology in person.

💯 This session promises to be an enlightening exploration of how RL and LLMs can work together to push the boundaries of AI research. Don’t miss this opportunity to deepen your understanding and engage in thought-provoking discussions!

✌️ We look forward to your participation!

#RLJClub #JClub #RIML #SUT #AI #RL #LLM

BY RIML Lab




Share with your friend now:
tg-me.com/RIMLLab/132

View MORE
Open in Telegram


telegram Telegram | DID YOU KNOW?

Date: |

Spiking bond yields driving sharp losses in tech stocks

A spike in interest rates since the start of the year has accelerated a rotation out of high-growth technology stocks and into value stocks poised to benefit from a reopening of the economy. The Nasdaq has fallen more than 10% over the past month as the Dow has soared to record highs, with a spike in the 10-year US Treasury yield acting as the main catalyst. It recently surged to a cycle high of more than 1.60% after starting the year below 1%. But according to Jim Paulsen, the Leuthold Group's chief investment strategist, rising interest rates do not represent a long-term threat to the stock market. Paulsen expects the 10-year yield to cross 2% by the end of the year. A spike in interest rates and its impact on the stock market depends on the economic backdrop, according to Paulsen. Rising interest rates amid a strengthening economy "may prove no challenge at all for stocks," Paulsen said.

How To Find Channels On Telegram?

There are multiple ways you can search for Telegram channels. One of the methods is really logical and you should all know it by now. We’re talking about using Telegram’s native search option. Make sure to download Telegram from the official website or update it to the latest version, using this link. Once you’ve installed Telegram, you can simply open the app and use the search bar. Tap on the magnifier icon and search for a channel that might interest you (e.g. Marvel comics). Even though this is the easiest method for searching Telegram channels, it isn’t the best one. This method is limited because it shows you only a couple of results per search.

telegram from us


Telegram RIML Lab
FROM USA