Kaggle

𝐁𝐮𝐢𝐥𝐝 𝐚𝐧𝐝 𝐝𝐞𝐩𝐥𝐨𝐲 𝐨𝐧 𝐆𝐂𝐏 𝐰𝐢𝐭𝐡 𝐀𝐩𝐩 𝐄𝐧𝐠𝐢𝐧𝐞 𝐲𝐨𝐮𝐫 𝐜𝐡𝐚𝐭𝐛𝐨𝐭 𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐛𝐲 𝐆𝐞𝐦𝐢𝐧𝐢 A couple of weeks ago I published an article about how you can create your own chatbot powered by a Gemma 2 model running locally on your computer. Now, in a new Medium article, I am showing how you can develop and deploy on GCP (using App Engine) a Streamlit chatbot powered by Gemini. In the article I explain how to get your Gemini API key, how to create and cache the connection function in and how to create the simple conversational experience in Streamlit. Then I show how to add and configure your Dockerfile and app.yaml file and perform the deployment using Google Cloud SDK. Full article link: https://lnkd.in/dUHCqujf GitHub project link: https://lnkd.in/dZyYpUsW #Gemini #Chatbot #GCP #GoogleCloudSDK #AppEngine #Streamlit #GDE

🤖 Cohere For AI's Aya Expanse is now available on #KaggleModels! Mark your calendars for October 31st at 11 am Eastern when we’ll bring your questions to Marzieh Fadaee and Ahmet Üstün in an “Ask Me Anything” about the new model, hosted by Kaggle. 👉 Learn more about Aya: https://lnkd.in/ekppvWjA ❓Ask your questions: https://lnkd.in/eGMEAkFe 

Today, we introduce ✨Aya Expanse ✨ – an open-weights state-of-art family of models to help close the language gap with AI. Many communities have been left unsupported due to the language limitations of current models. For the last few years, our fundamental research has sought to change this. Today, we release both the 8B and 32B models as open weights. These models advance the boundaries of multilingual performance. At a larger scale, Aya Expanse 32B outperforms Gemma 2 27B, Mistral 8x22B, and Llama 3.1 70B, a model more than 2x its size. Aya Expanse 8B outperforms the leading open-weights models in its parameter class, such as Gemma 2 9B, Llama 3.1 8B, and the recently released Ministral 8B. We hope this release helps researchers around the world further progress, ask deeper questions about multilingual AI, and develop tools that support global communities. Thank you to all our collaborators, and the Cohere For AI and Cohere team. An idea never becomes a breakthrough unless there is a shared belief we can do something different. Find our open weights on Kaggle and Hugging Face. Read more about Aya Expanse here: https://lnkd.in/enNw3w3h

Have a brilliant idea for a machine learning challenge? Now's the perfect time to bring it to life. Our community competition platform is available at no cost and used by thousands of organizations every year to host hands-on machine learning competitions. With several newly launched features, creating your own Kaggle community competition has never been easier. Here’s a summary of what’s new: Feature #1: ✨Create an AI generated Kaggle competition in 5 minutes This feature lets you pick a ML task and instantly create a new synthetic dataset based off of a source dataset. The new data will mimic the original's patterns without any identifiable info, ensuring a fun, rigorous competition with no risk of participants finding the original data. Learn More: https://lnkd.in/dyFZzWYv Feature: #2: 💸Offer Prizes Up to $10,000 USD Community competition hosts can offer prizes up to $10,000 USD. With this change, we hope community competitions will be more rewarding and that cutting-edge research will reach even more minds.  Learn More: https://lnkd.in/dGjMUwaG Feature #3: 🎯 Write your own Python competition evaluation metric in a Kaggle Notebook Customize your competition to your learning goal. Now you can write your own Python evaluation metric and share it with participants. We've also released 63 new open-source metrics for you to use.  Learn More: https://lnkd.in/du_fGVWq Whether you're an educator, researcher, startup, or simply a passionate data enthusiast, we hope you'll consider hosting a community competition on Kaggle! 👉Get started at https://lnkd.in/dkK2NAC9

We’re hosting a Gen AI intensive course with Google on November 11 - 15th and would love for you to join! This no-cost course was created by a team of Google ML researchers and engineers and designed to help you better understand some of the fundamental technologies and techniques behind Generative AI. Everyday, participants will receive the following in their inbox: 📚 Daily Assignments This includes newly published white papers, a companion podcast (generated by NotebookLM), and companion code labs in AI Studio. 💬 Discord Discussion Threads Kaggle’s Discord server will have a dedicated channel for focused discussion on the reading. It's an excellent place to find further clarification, surface any questions, and connect with other learners. 🎥 Daily Livestream Seminars and AMAs We're going live everyday on Kaggle's YouTube channel, where the authors and course contributors will dive deeper into the topics and answer your burning questions. Plus, we've got fun surprises in store to keep the learning engaging. For more information and to register visit: https://lnkd.in/drwDBhes  Hope to see you there!

Competition Launch Alert! AI Mathematical Olympiad hosted by AIMO Help advance AI models’ mathematical reasoning skills & compete for $2+ million in prizes. With updated rules, fresh datasets, and more resources, this latest AIMO Progress Prize competition offers an exciting opportunity to drive innovation in AI for Math while fostering healthy competition & supporting open science. 🎯 Create algorithms and models that can solve tricky math problems written in LaTeX format. Your participation will help to advance AI models’ mathematical reasoning skills and drive frontier knowledge. 💰 $2M+ Prize Pool ⏰ Entry Deadline: 3/25/25 Learn more at https://lnkd.in/eAnwqGnV

We're hiring! Our competitions team is growing and looking for Research Scientists who have expertise/experience with LLMs. Check out the full role details 👉 https://lnkd.in/eTVRaNSP

Competition Launch Alert! Gemini Long Context hosted by Google. 🎯 Challenge: stress test Gemini 1.5’s long context window by building public Kaggle Notebooks that demonstrate creative use cases. 💰 Prize Pool: $100,000 ⏰ Entry Deadline: 12/01/2024 Google’s Gemini 1.5 model introduced a major breakthrough in AI with its notably large context window. It can process up to 2 million tokens at once vs. the typical 32k - 128k tokens. This is equivalent to being able to remember roughly 100k lines of code, 10 years of text messages, or 16 English novels. In this competition, you’re challenged to stress test Gemini 1.5’s long context window by building public Kaggle Notebooks that demonstrate creative use cases – we’re eager to see what you build! Learn more at https://lnkd.in/e4urPruS

👀 Check out the winning solutions from our recent LLM 20 Questions competition! Participants trained LLMs to guess the secret word in this cooperative game of question asking and answering https://lnkd.in/dds9W67U

Competition Launch Alert! Real-Time Market Data Forecasting hosted by Jane Street 🎯 Challenge: Develop an ML forecasting model using real-world data derived from production systems 💰 Prize Pool: $120,000 ⏰ Entry Deadline: 12/30/2024 This challenge highlights the difficulties in modeling financial markets, including fat-tailed distributions, non-stationary time series, and sudden shifts in market behavior. It's a chance to engage with problems similar to those faced by Jane Street's quantitative teams, who have spent decades innovating in this field. Learn more at https://lnkd.in/dg3MyruS