🚀🔍 AI papers deep dive: LLM understanding, RAG, CoT

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🌐 RA-DIT Retrieval-Augmented Dual Instruction Tuning: Enhancing RAG systems by fine-tuning both the LM & retriever. Implementation in LlamaIndex.
📆 FreshLLM: Leveraging search engines to keep LLMs updated with the latest info.
🧠 Analogical Reasoners: Automatically guides the reasoning of LLMs for a better chain-of-thought.
✨ On AI transparency & interpretability, two pivotal papers:
- Representation Engineering: A Top-Down Approach to AI Transparency
- Decomposing Language Models Into Understandable Components
#ArtificialIntelligence #AIpapers

Links:

00:00 intro
01:04 RA-DIT Retrieval-Augmented Dual Instruction Tuning
04:17 FreshLLMs
07:02 Analogical Reasoners
10:07 Representation Engineering
14:18 Decomposing Language Models Into Understandable Components

⭐ Stay in touch ⭐
💚 #ai

Sophia Yang

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We're flattered to be the first paper featured in your first paper reading session. Continue the great work! 👩🏻‍💻📖✨

VictoriaLin

Thanks Sophia. What I like the most about your videos is that they are concise.

FREELEARNING

Representation engineering was a mind blower. Thank you for sharing!

dimastorres

I think its a good idea. We all need some 'bridging' between the most important new papers, and all of us that are a bit swamped by the speed of this field. Also, by discussing the details of the paper, the audience gets a referential framework to relate concepts to. Keep digging for papers that reveal the inner workings of 'cognitive networks'..

sgramstrup

This is excellent, Please continue to make this type of videos.Thanks for sharing the knowledge

santhoshsthanikam

Great work and love the paper reviews! Keep em coming!🥳😎🦾

klammer

Great stuff, Sophia! Have a good one.

snsa_kscc

Sophia. This session is amazing and a very good idea! Please continue to do it as often as possible!! Great work !

kostastsaousis

Great Video and very intresting papers you found! Thank you for showcasing them!

ark

Thank you Sophia, so good! How did you go and find quality paper to read? (I mean there are so many new ones each week LOL)

AIJasonZ

Thank you very much for this video. I watch your summarize video before bed.

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🚀🔍 AI papers deep dive: LLM understanding, RAG, CoT

🚀🔍 AI papers deep dive: LLM understanding, RAG, CoT

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