How to Pick the Best-Performing Time-Series AI Model for Your Data 1. Time-series models forecast the future using historical data, making them essential for applications in finance, weather forecasting, and more. 2. Different AI frameworks perform differently on various data types, so experimentation is key to finding the best model for your data. 3. Platforms like MindsDB allow you to experiment with models from Nixtla, such as StatsForecast, NeuralForecast, and TimeGPT. By experimenting, you can see how each model performs with your specific data, helping you understand which model fits best. 4. Benchmarking these models to evaluate their performance and accuracy is crucial for ensuring reliable predictions. 5. Last but not least, regularly retrain models with new data to maintain accuracy and adapt to changing patterns. 6. Finding the right AI model is a journey of experimentation and discovery. With the right tools, you can unlock the full potential of your data! 7. To learn more, check out the article below: https://lnkd.in/g6viXh6K
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Congrats to the Arize team for hosting an incredible conference! Proud to be a sponsor and part of such a fantastic event ✨
Huge thanks to everyone who came out for Observe — we were thrilled to host you today. 🫶 We were incredibly lucky to hear from cutting-edge teams working on generative and researchers pushing the boundaries of what’s possible in improving AI-powered systems. Hat tip to all of our speakers who gave so many thoughtful presentations on all things LLM observability and evaluation. Last but not least, huge thanks to our sponsors for making this day possible: Microsoft Cerebral Valley Battery Ventures Swift Ventures Vectara Modelbit MindsDB PromptLayer Innodata Inc. + Pinecone And also!!! As many of you noted to us, the venue was pretty great. (Cc: SHACK15)
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🌟📢 We're hiring 📢🌟 Join the MindsDB team as a Group Product Manager in San Francisco 🌉 If you're an experienced PM with a passion for AI/ML, we want you! Check out the job description here 👇 https://s.mdb.ai/4eZZrAS
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We’re thrilled to announce the second beta release of Database Mind. Database Mind answers questions in plain language directly from a database. In this release, Database Mind delivers faster responses to the easy to ask, hard to answer questions over your database, boasting a 78% improvement in latency. Specifically, we have successfully reduced latency from 1 minute to 13 seconds for the average request. Learn more here: https://lnkd.in/gR9HU_3a We believe that app developers will appreciate a comprehensive API that can support a full conversation, taking questions and returning answers based on data contained in databases and data warehouses. Key Benefits We remove the complexity of: - Building and connecting a reasoning and execution loop - Managing and optimizing an AI app infrastructure stack - Maintaining context across a multi-step or complex conversation - New! Optimizing the logic and reasoning loops required to answer questions that span multiple data sources / dimensions Coming Soon - Even faster responses - Support for streaming responses - More complex database schemas - Rich Logging - More Secure access and authorization options We're thrilled to continue improving Database Mind, that can take a question and return plain language answers based on data contained in databases. Explore its capabilities, share your feedback, and help shape our platform's future. Try it now!
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🚀 New MindsDB release v24.7.2.0 is here! 🔹 Wrapped list into Tuple for proper rendering 🔹 Columns list for agent 🔹 Check for provided file path in SQLite handler 🔹 Improved error handling and messaging in dependencies installation 🔹 Fix case sensitive drop database 🔹 Removed MICROSERVICE_MODE in tests 🔹 API handler tests and fixes 🔹 Fixed link to Minds endpoint handler 🔹 Increased reliability of all agents using SQL tools 🔹 and more… Shout out to all the contributors for their hard work! Check out the full changelog here: https://lnkd.in/gwqypc2X
Release v24.7.2.0 · mindsdb/mindsdb
github.com
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Check out our latest tutorial on Database Mind! Chris S. teaches us how to leverage our Completions API to answer questions in plain language directly from your database. Check it out now: https://lnkd.in/gvhNhEnn
Database Mind Tutorial
https://www.youtube.com/
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🧠 Building AI solutions? Discover the 12 key aspects to consider when choosing a large language model in this comprehensive blog post! From model performance to cost and ease of integration, this article covers it all. 🌟 🔗 Read more here: https://s.mdb.ai/3L9cPF7
Which LLM to Choose: 12 key aspects to consider building AI solutions
mindsdb.com
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The time is here! 🚀 Join us on our Month-End Community Call where we'll be showcasing our beta release of Database Minds! Get a sneak peek at our latest features and meet our talented team during the live Q&A session. Register now to secure your spot: https://s.mdb.ai/3W22Zvh
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🚀 New MindsDB release is here! 🔹 Fix for duplicate column names 🔹 Migrated OpenAI’s json_struct mode 🔹 Improved Agent logging 🔹 Updated docs for overriding prompt templates 🔹 Requirements fixes 🔹 Updated Postgres handler with schema in table query 🔹 REST API docs 🔹 Python SDK docs for agents 🔹 Fixed LangChain Circular Import Shout out to all the contributors for their hard work! Check out the full changelog here: https://lnkd.in/gaPDu7nu
Release v24.6.4.0 · mindsdb/mindsdb
github.com
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Exciting news from MindsDB! We’re thrilled to announce the second beta release of Database Mind. Database Mind answers questions in plain language directly from a database. It supports popular databases such as: MySQL, PostgreSQL, Snowflake, Google BigQuery, MariaDB, and ClickHouse. Learn more here: https://lnkd.in/gR9HU_3a In this release, Database Mind: - Adds support for more complex, multi-step conversations using the OpenAI Assistants API We believe that app developers will appreciate a comprehensive API that can support a full conversation, taking questions and returning answers based on data contained in databases and data warehouses. Key Benefits We remove the complexity of: - Building and connecting a reasoning and execution loop - Managing and optimizing an AI app infrastructure stack - New! Maintaining context across a multi-step or complex conversation Coming Soon - Faster responses - Support for streaming responses - More complex database schemas - Rich Logging - More Secure access and authorization options Next Steps We're thrilled to continue improving Database Mind, that can take a question and return plain language answers based on data contained in databases. Explore its capabilities, share your feedback, and help shape our platform's future. Try it now! https://lnkd.in/gR9HU_3a
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