Over the past year, ChatGPT, an AI chatbot developed by OpenAI, has gained significant attention in scientific research and AI advancements. The chatbot's impact on various fields, including healthcare diagnostics and autonomous driving, has been a subject of discussion. While some studies have highlighted the capabilities of ChatGPT, others have raised concerns about its efficiency and potential privacy issues. Additionally, the emergence of new open-source language models, such as Mistral and LLaMA, has brought diversity to AI research and applications, challenging the performance of existing models like GPT-3.5. Overall, the evolving role of large language models (LLMs) in problem-solving and decision-making tasks has been a central theme in recent research.
Intriguing study shows how GPT-4, a generalist AI model, uses advanced prompt engineering to excel in medical tasks. It questions the need for domain-specific tuning and urges careful real-world application: https://t.co/56cxJca4xW
Beyond Human Data for LLMs Proposes an approach for self-training with feedback that can substantially reduce dependence on human-generated data. The model-generated data combined with a reward function improves the performance of LLMs on problem-solving tasks. Very cool work.… https://t.co/dYFqdTFaJV
Beyond Human Data for LLMs Proposes an approach for self-training with feedback that can substantially reduce dependence on human-generated data. The model-generated data combined with a reward function improves the performance of LLMs on problem-solving tasks. Very cool work.… https://t.co/G9VnvH0ptS
Groundbreaking study unveils that production language models, including ChatGPT, may leak private training data, pressing the need for robust privacy solutions: https://t.co/VMO9Q84PMH
#FPTech: ‘#Mental health’ issues in #AI? #OpenAI's #ChatGPT is suffering from seasonal depression, maybe getting lazier https://t.co/XbZ2s8zCaD
This AI Research Shares a Comprehensive Overview of Large Language Models (LLMs) on Graphs Quick read: https://t.co/jdwQ96wVPr Paper: https://t.co/K6RZCr6Dc5 #ArtificialInteligence #DataScience #LLMs https://t.co/02m635WKnq
#ChatGPT has seen a decrease in response accuracy, according to recent evaluations. OpenAI's language model could be the solution #AI #InfTech https://t.co/LqkGggGgkJ
Mistral AI Picks ‘Mixture of Experts’ Model to Challenge GPT 3.5 ► https://t.co/gFeIWhw1v0 https://t.co/gFeIWhw1v0
[LG] Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models A Singh, J D. Co-Reyes, R Agarwal, A Anand, P Patil... [Google DeepMind] (2023) https://t.co/8BrK7cEoab - The paper proposes a self-training method called ReSTEM to improve LLMs using… https://t.co/86eamyA0sq
#OpenAl is making breakthroughs in its research on #ChatGPT inefficiency, in order to create more efficient AI driven responses in natural language! #AI #Tech https://t.co/mp2omjBkH1
This year has seen advances with the implementation of ChatGPT, the open-source chatbot language model. It has served in both amazing and debatable ways, bringing a whole year of discussion! #ChatGPT #AIAdvancement https://t.co/Z3oXAtyfoh
New French AI model makes waves by matching GPT-3.5 on benchmarks https://t.co/tniwOMtGzQ
GPT-4 demonstrates a 57% success rate in diagnosing complex medical cases, surpassing 99.98% of human readers, highlighting AI's evolving role in healthcare diagnostics https://t.co/5CVFRoyV2Z #AIHealthcare #ClinicalAI #MedTwitter
GPT-4 demonstrates a 57% success rate in diagnosing complex medical cases, surpassing 99.98% of human readers, highlighting AI's evolving role in healthcare diagnostics https://t.co/5CVFRoyV2Z #AIHealthcare #ClinicalAI #MedTwitter
GPT-4 demonstrates a 57% success rate in diagnosing complex medical cases, surpassing 99.98% of human readers, highlighting AI's evolving role in healthcare diagnostics https://t.co/5CVFRoyV2Z #AIHealthcare #ClinicalAI #MedTwitter
ChatGPT seems to be “lazier” in December, and users are wondering if that’s because it learned that humans are lazier then too. https://t.co/sMkiUtvdnq
New paper marks ChatGPT's anniversary by revealing that open-source Large Language Models are quickly catching up, enhancing AI research and application diversity: https://t.co/8p2DIl1MON
New research shows that GPT-4 can almost perfectly handle heavily scrambled text, prompting discussions on language model processing and future implications in model training and design: https://t.co/HHRoTTqrBM
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models paper page: https://t.co/og7bZDIr5a Fine-tuning language models~(LMs) on human-generated data remains a prevalent practice. However, the performance of such models is often limited by the quantity… https://t.co/s1X5eZojdv
LLM360: Towards Fully Transparent Open-Source LLMs paper page: https://t.co/hVP26Ko0rw The recent surge in open-source Large Language Models (LLMs), such as LLaMA, Falcon, and Mistral, provides diverse options for AI practitioners and researchers. However, most LLMs have only… https://t.co/Hxn03VybpL
Evaluation of Large Language Models for Decision Making in Autonomous Driving paper page: https://t.co/TKo9CccbPs Various methods have been proposed for utilizing Large Language Models (LLMs) in autonomous driving. One strategy of using LLMs for autonomous driving involves… https://t.co/iBvJS8tWOa
Mistral shocks AI community as latest open source model eclipses GPT-3.5 performance https://t.co/ZYq8cBYbnL
ChatGPT is a new chatbot developed by OpenAI that is capable of generating responses to questions in English. #Chatbots #OpenAI https://t.co/oH3sb4STzv
OpenAI investigating user claims that ChatGPT has become ‘lazy’: ‘This certainly isn’t intentional’ https://t.co/dBFLrriWK5 https://t.co/RJmxg6AKMp
Great read on how #ChatGPT and #AI as a whole has changed our world this year. What are your thoughts? 💭 https://t.co/2CVoEySACQ
In just a year, ChatGPT has permeated scientific research. Seven scientists reveal what they have learnt about how the chatbot should — and shouldn’t — be used https://t.co/Yo0n7sYdsK