Fly Ventures’ Post

🚀 Exciting Update! Check out this new research on "GOLF: Goal-Oriented Long-term liFe tasks supported by human-AI collaboration" just published on arXiv (2403.17089v1). The study explores the potential of large language models like ChatGPT in revolutionizing human-AI interaction and redefining information access paradigms. Dive into the comprehensive framework developed to enhance LLMs' ability in navigating long-term and significant life tasks, ultimately transforming human decision-making processes and task management. Don't miss out on this groundbreaking research! Read the full post here: https://bit.ly/3IXiCN7

https://lnkd.in/gSFz6uS3 "A Paradigm Shift in Computer Science?" at TU Wein next week. I'm one of the primary speakers, a real honor alongside prominent figures such as philosopher Tim Crane, computer scientist Moshe Vardi and communication scholar Noshir Contractor. I'll be starting the conference out with a talk on the history of AI, but my real question is: if computer science is getting a new paradigm then what was the old one? That brings us to the alliance between computer science and AI, which emerged around the same time and grew up together, and also to the narrowing of the AI brand to include only symbolic approaches as the field matured within computer science during the late-1960s and 1970s.

❗ A top priority topic in the conversational AI industry: quality assurance for AI applications. We create AI agents that continuously test conversational AI products, such as chatbots. Let's improve and redefine your AI quality assurance. Read more below 👇 🤓

😵 The demand for scalable, efficient, and manageable workflows has never been greater. As ML workflows grow in complexity and scale, data teams face the challenge of managing vast amounts of data and computational tasks across distributed environments. 🤝 To address the challenges of complex and scalable workflows, we have joined forces with Anyscale to offer complete solutions in the form of the Ray and Anyscale Providers by Astronomer. 🔋 Together, Astronomer and Anyscale offer a comprehensive solution for orchestrating and scaling ML and AI, seamlessly combining Airflow’s powerful workflow management with Ray’s distributed computing capabilities - whether through open-source flexibility or managed scalability. 📖 Read today's blog post for an overview and key features of the integration: https://bit.ly/40nPmZV

🌟 DICTA24 Challenge: Subtle Differences Recognition (Among Visually Similar Objects)🌟 We are excited to invite you to participate in the DICTA24 Challenge, where the focus is on recognizing subtle differences among visually similar objects. This is a golden opportunity for researchers, data scientists, and AI enthusiasts to showcase their skills and contribute to advancing the field of computer vision. ⭐ Challenge Tasks: 1) Difference Image Selection Task: - Objective: Given two images and a text describing the differences, identify which image contains the change. - Evaluation Metric: Accuracy (binary classification). 2) Conditional Difference Captioning Task: - Objective: Describe the subtle differences in shape, color, or texture between two images. - Evaluation Metrics: BLEU-4, CIDEr (comparing generated and reference captions).   📌 Important Dates: 📅 Challenge Launch: July 9, 2024 📅 Challenge Ends: August 5, 2024 🏆 Winners Announcement: August 7, 2024 🎓 Challenge Chairs: Mariia Khan (ECU Australia) YUE QIU (AIST Japan) Yanjun Sun (AIST Japan) 🖐 How to Participate: All submissions should be done via EvalAI platform: [https://lnkd.in/ecP3KmnF]. Visit our DICTA24 Challenge Website (https://lnkd.in/ejK-TTU8) to find more information about the challenge. Don't miss this chance to be part of a transformative research experience!

As we approach #PRW2024, we're looking back at our webinar from last year's Peer Review Week, where Mads Rydahl—an AI innovator behind Siri, UNSILO, and paperflow.аi—challenged the prevailing approaches to peer review and preprints. 🗣️ "The publishers today are speaking in tongues," he pointed out, highlighting the contradictory messages about preprints and peer-reviewed research. Mads advocated for a faster, more collaborative model that matches the pace of discovery in fields like computer science. Now, a year later, have we moved closer to the open and agile research communication he envisioned? 🎥 Watch the full webinar here: https://lnkd.in/dMKxKcvE

📢 GeoSoftware is excited to announce the release of 𝐇𝐚𝐦𝐩𝐬𝐨𝐧𝐑𝐮𝐬𝐬𝐞𝐥𝐥 𝟐𝟎𝟐𝟒.𝟑 and 𝐉𝐚𝐬𝐨𝐧 𝟐𝟎𝟐𝟒.𝟑, featuring advanced AI capabilities, improved usability, and faster data handling. Key updates in HampsonRussell include a new GeoAI CNN classification workflow, automated multi-well correlation, and scientific color maps for clearer reservoir insights. Jason users benefit from faster RockRank calculations that boost workflow efficiency, new functionality in RockQC to visualize multiple realizations in one window, and more! These innovations empower geoscientists to achieve greater accuracy, efficiency, and reliability in their reservoir characterization results. Discover more about these powerful new features from the 2024.3 release here ➡️ https://lnkd.in/gQnC5XMS

🚀 How can LLMs Code? 🚀 I Fine-Tuned Mistral 7B v0.1 and Made it Generate Code! Curious about using large language models (LLMs) for code? I took Mistral 7B v0.1, a powerful 7 billion parameter pretrained generative text LLM, loaded it with quantized configuration, and fine-tuned it specifically to generate code using text inputs ! I performed Parameter-Efficient Fine-Tuning with LoRA configs and supervised SFTTrainer. The weights of fine tuned model were finally merged with original model and pushed to hugging face. Don't worry if these terms are new, the script makes using the model easy! 🔗 Check it out on Hugging Face: https://lnkd.in/ecVcjPJ3 📄Script to generate output from model: LLM_Generate_Code_Pushed_LLM.ipynb #LargeLanguageModels #LLMs #GenerativeAI #CodeGeneration #AIforCode #MistralAI #HuggingFace #Quantization #OpenSource #FineTuning #AIResearch

Valletta, Malta. July 17-19, 2024 The 2nd World Conference on eXplainable Artificial Intelligence The World Conference on Explainable Artificial Intelligence is an annual event that aims to bring together researchers, academics, and professionals, promoting the sharing and discussing of knowledge, new perspectives, experiences, and innovations in eXplainable Artificial Intelligence (XAI). This event is multidisciplinary and interdisciplinary, bringing together academics and scholars of different disciplines, including Computer Science, Psychology, Philosophy, and Social Science, to mention a few, and industry practitioners interested in the practical, social and ethical aspects of the explanation of the models emerging from the discipline of Artificial intelligence (AI).

#100daysofcode "Embarking on Day 15: of 100daysofcode The Pursuit of Factorials! 🚀 Today's quest is to unlock the secrets of factorial computation, a journey where numbers reveal their intricate patterns and mathematical elegance. As we delve deeper into the realm of factorials, we embrace the beauty of iterative and recursive algorithms, unlocking the essence of multiplication's symphony. Let us unravel the factorial mystery, where each digit holds the power of multiplication, and each iteration unveils the marvels of mathematical harmony. Join me as we navigate through the algorithmic labyrinth, paving our way to unravel the factorial magic! ✨🔢 #MathematicsJourney"