Google Maps' AI Update & Databricks New AI Model Better than Llama 2, Grok, and Mixtral
TLDRGoogle Maps is set to enhance user experience this summer with AI-driven updates. The AI will analyze photos and reviews to offer insights into what makes a place special, such as identifying dishes and their details. New features will also help users discover and organize recommendations, including curated lists from trusted sources and the Google Maps community. Databricks, a data-focused company, has acquired Lilac, a Boston-based firm specializing in data research, to improve data handling for AI applications. Databricks continues to invest in generative AI and has developed a new AI tool, dbrx, which is showing promising results in language understanding and problem-solving. The acquisition of Lilac will aid in refining unstructured data for better AI model training and reduce biases, contributing to safer and more effective AI applications.
Takeaways
- 🚀 Google Maps is introducing AI-powered updates this summer to enhance travel planning with personalized recommendations.
- 📸 The AI can analyze photos and reviews to identify special features of a place, such as dishes at a restaurant, including their names, prices, and dietary preferences.
- 📍 In select US and Canada cities, users can access curated lists of hot new spots and hidden gems, sourced from trusted sites and the Google Maps community.
- 🔖 Users can save and share these curated lists, as well as create personalized lists of places to visit, enhancing their travel experiences.
- 🎨 Google Maps is also updating its interface with a cleaner home screen and new PIN colors for better navigation and planning.
- 💡 Databricks, a big data company, has acquired Lilac, a Boston-based research company to improve data understanding and usage.
- 🌐 Databricks is positioning itself as a hub for generative AI, having previously invested in AI company Mistoli.
- 🛠️ Lilac specializes in working with unstructured data, helping teams prepare their data for AI applications and avoiding biases or errors.
- 🔍 Databricks has developed a new AI tool, dbrx, which is outperforming similar tools and is close to matching OpenAI's GPT-4 in capabilities.
- 🔒 Databricks ensures the safety of their AI tools by having them evaluated, addressing concerns about the risks of sharing powerful AI with the public.
- 🔄 Lilac's technology will be integrated into Databricks' Mosaic AI tools, simplifying data preparation for custom AI systems.
- 📈 The acquisition of Lilac signifies Databricks' commitment to making generative AI more accessible to developers and businesses.
Q & A
What is the focus of the Google Maps updates this summer?
-The focus of the Google Maps updates this summer is on integrating artificial intelligence to make travel planning smarter and more personalized.
How does the AI in Google Maps analyze a place to understand what makes it special?
-The AI in Google Maps analyzes photos and reviews from the Maps community to understand what makes a place special, such as identifying dishes in restaurant photos and providing key information like the dish's name, price, popularity, and dietary preferences.
What new features is Google Maps introducing to help users find and organize recommendations?
-Google Maps is introducing features that allow users to access curated lists of places to visit, like the hottest new restaurants or hidden gems, in select cities in the US and Canada. Users can save these lists for later or share them with friends, and customize the lists by changing the order of places or linking to their social media reviews.
What does the new AI tool created by Databricks, dbrx, do?
-Dbrx is a new AI tool created by Databricks that is designed to improve the handling of data, making it easier for users to prepare their data for creating apps that use big language models and AI applications.
How does the acquisition of Lilac by Databricks enhance the company's offerings?
-The acquisition of Lilac enhances Databricks' offerings by incorporating their technology and team, which specializes in working with unstructured data, making it better and ready for AI use. This helps developers have an easier time making their data ready for custom AI systems.
What is the significance of Databricks' push to be the go-to place for everything related to generative AI?
-Databricks' push to be the go-to place for generative AI signifies their commitment to innovation in the field and their aim to offer comprehensive solutions for businesses looking to leverage AI for data management and application development.
What safety measures did Databricks take to ensure the new AI tool is safe to use?
-Databricks had the new AI tool evaluated by people to check its safety, which is important due to growing concerns about the risks of sharing powerful AI tools with everyone.
How does the partnership with Lilac help Databricks in their focus on AI?
-The partnership with Lilac allows Databricks to enhance their focus on AI by providing tools that help teams work with unstructured data, ensuring that the data used for training and testing AI models is of high quality and free from biases or errors.
What was the purpose behind Databricks' previous acquisition of Mosaic AI?
-The acquisition of Mosaic AI was aimed at shifting Databricks' focus more towards AI and using the data they have to help people make AI applications safely.
How does the addition of Lilac's technology to Mosaic AI tools benefit developers?
-By adding Lilac's technology to Mosaic AI tools, developers will have an easier time making their data ready for custom AI systems, which simplifies the process of checking and preparing data for AI use.
What is the ultimate goal for Databricks with the acquisition of Lilac and their AI efforts?
-The ultimate goal for Databricks is to make it simpler for teams to check and prepare their data for AI use, and to offer better AI products for users, ultimately allowing more developers to use generative AI easily.
Outlines
🗺️ Google Maps AI Updates for Enhanced Travel Experience
Google Maps is introducing new updates this summer that leverage artificial intelligence to improve travel planning. The AI can analyze photos and reviews to identify what makes a place special. For instance, when viewing a restaurant, the AI can recognize dishes in photos and provide information such as the dish's name, price, popularity, and dietary considerations. In select cities in the US and Canada, Google Maps will offer curated lists of places to visit, including new hot spots and hidden gems, sourced from trusted sites and the Google Maps community. Users can save and share these lists, as well as create personalized lists of places to visit. The update also includes tools to customize these lists, such as reordering places or linking to social media reviews. These enhancements, combined with AI-powered insights, aim to make Google Maps more useful than ever. The new design features a cleaner home screen and new PIN colors to facilitate navigation and summer adventure planning.
🤖 Databricks Acquires Lilac to Advance Generative AI Capabilities
Databricks, a company specializing in data management and analysis, has recently acquired Lilac, a Boston-based research company focused on improving data understanding and handling. Although the acquisition price was not disclosed, Lilac's technology and team will integrate with Databricks' platform, formerly known as a data lakehouse, to enhance the ease of preparing data for applications using large language models. Databricks is positioning itself as a hub for all things related to generative AI and has also invested in another AI company, Mistol, which is making significant strides in the field. Databricks has developed a new AI tool called DBRx, which is outperforming similar tools from companies like Latu Gro and Mixol, and is nearly on par with OpenAI's GPT-4 in language understanding, math problem-solving, and coding data. Databricks has conducted safety evaluations on their AI tools to address concerns about the risks of sharing powerful AI with the public. Prior to this, Databricks had acquired another AI company, Mosaic AI, and shifted focus towards AI development, aiming to use their data to create safe AI applications. They have shared AI models for various business needs, emphasizing the importance of high-quality data for training and testing AI models, including avoiding biases and errors. Lilac specializes in working with unstructured data, helping teams organize and refine it for AI use. Founded by former Google employees Daniel Smoak and Nikil Thorat, Lilac's 2023 tool uses AI to simplify understanding and altering unstructured text. By integrating Lilac into their Mosaic AI tools, Databricks aims to make it easier for developers to prepare their data for custom AI systems. The acquisition is expected to give businesses more control and insight into their unstructured data, leading to better AI products for users and making generative AI more accessible to developers.
Mindmap
Keywords
💡Google Maps
💡Artificial Intelligence (AI)
💡Travel Planning
💡Personalization
💡Databricks
💡Lilac
💡Generative AI
💡dbrx
💡Safety Evaluation
💡Mosaic AI
💡Unstructured Data
💡Data Preparation
Highlights
Google Maps is rolling out updates this summer with a focus on artificial intelligence for smarter and more personalized travel planning.
The AI in Google Maps can analyze photos and reviews to identify special aspects of a place, such as dishes at a restaurant and their popularity.
AI can provide key information about dishes like their names, prices, and whether they are vegetarian or vegan.
Google Maps introduces features to organize recommendations easily, with curated lists of places to visit in select US and Canada cities.
Users can access lists of the hottest new restaurants or hidden gems sourced from trusted sites and the Google Maps community.
Google Maps allows users to create and customize their own lists of places to visit, linking to social media reviews and more.
The new updates include a fresh design with a cleaner home screen and new PIN colors for easier navigation and planning.
Databricks, a big data company, acquired Lilac, a Boston-based research company specializing in data understanding and handling.
Lilac's technology will join Databricks' platform, enhancing data preparation for creating apps that use big language models.
Databricks is pushing to be the go-to place for everything related to generative AI, investing in AI companies like Mistol.
Databricks created a new AI tool called DBRx, which is outperforming similar tools and close to matching OpenAI's GPT-4 in capabilities.
Safety evaluations of the new AI tools are conducted to address concerns about the risks of sharing powerful AI tools widely.
Databricks previously bought Mosaic AI and shifted focus towards AI, aiming to help people make AI applications safely.
Lilac, founded by former Google employees, helps teams work with unstructured data, making it better for AI use.
Lilac's tools allow data scientists and AI researchers to organize data, find and remove personal info or duplicates, and prepare it for AI models.
Lilac technology will be added to Databricks' Mosaic AI tools, simplifying data preparation for custom AI systems.
Joining Databricks means businesses will have more control and insight into their unstructured data, aiding in the creation of better AI products.
By acquiring Lilac, Databricks moves closer to offering a comprehensive suite for generative AI use.
