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The RAG-ing success of LLMs

I have always said that the space between a human and an LLM is made up of prompt engineering. Through this article today, let me admit that the space is actually made up of prompt. ....

Large Language Models , Independence Day , Parameter Efficient Fine Tuning , Retrieval Augmented Generation , Tech Blog , Alaya Rout Blog , Atasciencevibes Blog ,

Why renting your brain with AI is the next big thing

Imagine a future using artificial intelligence to share what you know with more people, saving them money while earning more income yourself. ....

Sankt Peterburg , Stephanie Hayes , Petersburg Conference On World Affairs , Petersburg Student Center , University Of South Florida St , Petersburg Conference , World Affairs , South Florida , Retrieval Augmented Generation , Parameter Efficient Fine Tuning , Augmented Generation , Efficient Fine Tuning ,

10 Noteworthy AI Research Papers of 2023

This article is a compilation of 10 noteworthy AI research papers of 2023. ....

Sophia Yang , Mistral Mo , Google Bard , Rohan Paul , Top Ai Research Papers , Large Scale Training , Analyzing Large Language Models Across Training , Open Foundation , Fine Tuned Chat , Fine Tuned Chat Models , Efficient Finetuning , Scaling Down , Parameter Efficient Fine Tuning , Large Language Model , Direct Preference Optimization , Language Model , Reward Model , Reinforcement Learning , Human Feedback , Direct Distillation , Mistral Mixture , Mistral Moe , Open Source , Switch Transformers , Switch Transformer , Teaching Small Language Models How ,

Getting Started with Large Language Models: Key Things to Know

As a machine learning engineer who has witnessed the rise of Large Language Models (LLMs), I find it daunting to comprehend how the ecosystem surrounding LLMs is developing. ....

Brandon Rohrer , Jay Alammar , Sebastian Raschka , Niels Bantilan , Google Bard , Engineering Large Language Models On Union , Large Language Models , Large Language Model , Hugging Face , Model Evaluation Harness , Zero Shot Reasoners , Retrieval Augmented Generation , Augmented Generation , Parameter Efficient Fine Tuning , Transformer Reinforcement Learning , Engineering Large Language , Bing Chat , Machine Learning Compilation , Pytorch Elastic Trainer ,

Platypus 2 70B AI open source LLM tops the leaderboard

In the ever-evolving world of artificial intelligence, the Platypus 2 70B AI open source large language model (LLM) has emerged as a leader, currently ....

Low Rank Approximation , Parameter Efficient Fine Tuning ,