Sander Timmer, PhD

Today the most important article in chatgpt and "Exploring the capacities of ChatGPT: A comprehensive evaluation of its accuracy and repeatability in addressing helicobacter pylori-related queries" - ChatGPT can provide correct answers to the majority of H. pylori-related queries. - It exhibited good reproducibility and delivered responses that were easily comprehensible to patients. - Further enhancement of real-time information updates and correction of inaccurate information will make ChatGPT an essential auxiliary tool for providing accurate H. pylori-related health information to patients. #chatgpt #helicobacterpylori #healthinformation #accuracy

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Building AI Agent Systems with LangGraph The article discusses how LangGraph, a tool within the LangChain ecosystem, simplifies the development of advanced AI applications. Key Takeaways: LangGraph Components: LangGraph uses states, nodes, and edges to manage AI agent workflows. States store context, nodes perform tasks, and edges control the flow of operations. Simplified Development: LangGraph provides a clear structure for building intelligent, context-aware agents capable of handling complex interactions. Practical Example: The article includes a step-by-step guide to creating a customer support agent using OpenAI’s GPT-3.5-Turbo model, demonstrating LangGraph's practical application. Environment Setup: Instructions for setting up the development environment, including installing necessary packages and configuring the OpenAI API key, are provided. #AI #GenAI #AIAgents #LangGraph #Takeda https://lnkd.in/dF4nXVAn

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It is going to be interesting.... The goal is for Meta AI to be “the most intelligent AI assistant that people can freely use across the world”. What I find as more interesting is where Meta gathers the data from ? (https://lnkd.in/dSpXJuzr) https://lnkd.in/djR9grnn #llm #chatbot #ai #artificialinteligence

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👉🏼 How do large language models answer breast cancer quiz questions? A comparative study of GPT-3.5, GPT-4 and Google Gemini 🤓 Giovanni Irmici 👇🏻 https://lnkd.in/eUj2RKjX 🔍 Focus on data insights: - 📊 The study assessed the performance of three LLMs in answering breast cancer-related questions, revealing significant differences in accuracy among them. - 🧠 GPT-4 outperformed the other models, achieving a 95% correct answer rate, indicating its superior capability in processing complex medical information. - 🔄 No significant difference was found in the accuracy of responses to questions from public databases versus newly formulated questions, suggesting consistent performance across different types of queries. 💡 Main outcomes and implications: - 🌟 The results underscore the potential of LLMs like GPT-4 to enhance decision-making in breast cancer care through accurate information retrieval and summarization. - 🔍 The findings advocate for further refinement of LLMs through in-context training to improve their applicability in clinical settings. - 🏥 This study highlights the importance of integrating advanced AI tools into healthcare, potentially leading to better patient outcomes and more informed clinical decisions. 📚 Field significance: - 💡 The research contributes to the growing body of evidence supporting the use of AI in healthcare, particularly in oncology, where timely and accurate information is crucial. - 📈 It opens avenues for future studies to explore the integration of LLMs in various medical domains beyond breast cancer, enhancing overall healthcare delivery. - 🤖 The study emphasizes the need for ongoing evaluation and development of AI technologies to ensure they meet the rigorous demands of medical practice. 🗄️: [#largeLanguageModels #breastCancer #AIinHealthcare #GPT4 #medicalAI #oncology #dataInsights #clinicalDecisionMaking]

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A very interesting talk by François Chollet who discusses the limitations of Large Language Models (LLMs). Chollet introduces the Abstraction and Reasoning Corpus (ARC) as a benchmark for measuring AI progress towards human-like intelligence.

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Multi token prediction from AI at Meta - a significant advancement in #LLM. Rather than the traditional approach of predicting the next word in the sequence, the recently published paper and the corresponding model on Hugging Face forecasts multiple future words simultaneously, promising enhanced performance and drastically reduced training times. The novel approach from AI at Meta could have profound positive implications - lowers the cost and environmental impact of LLMs - Significant improvement in tasks from code generation to creative writing And also the downside of increasing the potential for misuse particularly with the AI at Meta strategy of open licensing through Hugging Face Check out the research paper here: https://lnkd.in/eAP2RufM

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The Verge writes about OpenAI changing the way user input is handled by its latest large language model - using a prompting hierarchy to block using a loophole like "ignore all previous instructions" https://lnkd.in/edE_K9eC. #openai #gpt4o #jailbreak #generativeai #largelanguagemodel #artificialintelligence #theverge

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Review of the Paper on Capabilities of Gemini Models in Medicine https://lnkd.in/dGexeQJ5

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How to test AI in medicine? A tricky question, as a recent article (linked below) shows. In 2018, WHO and ITU created a Focus Group for AI in health, which I was happy to vice chair initially. It had exactly one goal: to develop benchmarks for AI. The group's mission in the original white paper (https://lnkd.in/eyvnrzmt) read: "It will establish a standardized assessment framework with open benchmarks for the evaluation of AI-based methods for health, such as AI-based diagnosis, triage or treatment decisions." The initiative was probably ahead of its time, and let's just say the speed of the Focus Group and myself were incompatible 😅, so I left after about a year. I'm still rooting for it to succeed. Six years later, we have many other powerful initiatives. While that initial window of opportunity may have closed, others have opened. I'm particularly excited about what the #Meditron folks around Annie Hartley are trying to achieve with their MOOVE platform! https://lnkd.in/eWzPbB4y

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OpenAI is set to release an autonomous AI agent called “Operator” in January as a research preview and developer tool.  Unlike standard AI models, the Operator will be able to independently control computers and perform tasks on its own.  OpenAI has kept the release date for a consumer version under wraps, but its move signals a major shift toward AI that can actively engage with digital interfaces. #ai #genai #generativeai #openai https://lnkd.in/g8-zy2y8

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Always wanted to know more about the underlying framework of ChatGPT? Join our newest data science course "State-of-the-art deep learning for AI: Transformers", organised by UAntwerp, where we are explaining the underlying framework of BERT and GPT3. #deeplearning #GPT Register here: https://lnkd.in/eG4hybPZ

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