summarization

AppWizard
July 22, 2025
Google has announced the general availability of its Gemini 2.5 Flash-Lite model, which is described as the most cost-efficient and fastest version in the 2.5 series. The pricing for this model is set at [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: What you need to know Google has officially unveiled the "general availability" of its Gemini 2.5 Flash-Lite model, a significant addition to its suite of AI offerings. This latest variant is touted as the most cost-efficient and fastest in the 2.5 series, promising to enhance productivity for developers and businesses alike. The pricing structure for this model is particularly appealing, with costs set at [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: What you need to knowGoogle announced the "general availability" of its Gemini 2.5 Flash-Lite model, which is said to be its most cost-efficient and fastest version in the 2.5 series.While developers can find $0.10 per 1M token input and $0.40 for output, 2.5 Flash-Lite has already gone through some heavy real-world scenarios.Companies like Satlyt have used the model to help summarize telemetry data and process satellite data far quicker than before.Gemini 2.5 Flash-Lite entered its preview stage in June during the public availability of 2.5 Flash and 2.5 Pro in the Gemini app, Vertex AI, and AI Studio.The finale to Google's recent string of 2.5 models has arrived, as the company highlights a Gemini variant previously held in testing.This afternoon (July 22), in an email to Android Central, Google announced the "general availability" of Gemini 2.5 Flash-Lite, which has exited its preview stage. The company went into more in-depth detail in a Developers blog post, stating this Gemini variant is its "fastest" and most "cost-efficient" AI model. The post details developers will find costs at $0.10 per 1M token input and $0.40 for output.with Google's 2.5 Gemini models over the past month. In June, the company brought its 2.5 Pro and 2.5 Flash models into the public eye via the Gemini app, Google AI Studio, and Vertex AI spaces. The most important part of that announcement was revealing that 2.5 Flash-Lite was entering its preview stage. This iteration came only a few months after Google made the 2.0 version public earlier this year.At the time, Google pushed the cost-efficient and fast sides of 2.5 Flash-Lite for developers looking to quicken their workload. In the event that you require more thought power, there is Gemini 2.5 Pro." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].10 per 1 million tokens for input and [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: What you need to knowGoogle announced the "general availability" of its Gemini 2.5 Flash-Lite model, which is said to be its most cost-efficient and fastest version in the 2.5 series.While developers can find $0.10 per 1M token input and $0.40 for output, 2.5 Flash-Lite has already gone through some heavy real-world scenarios.Companies like Satlyt have used the model to help summarize telemetry data and process satellite data far quicker than before.Gemini 2.5 Flash-Lite entered its preview stage in June during the public availability of 2.5 Flash and 2.5 Pro in the Gemini app, Vertex AI, and AI Studio.The finale to Google's recent string of 2.5 models has arrived, as the company highlights a Gemini variant previously held in testing.This afternoon (July 22), in an email to Android Central, Google announced the "general availability" of Gemini 2.5 Flash-Lite, which has exited its preview stage. The company went into more in-depth detail in a Developers blog post, stating this Gemini variant is its "fastest" and most "cost-efficient" AI model. The post details developers will find costs at $0.10 per 1M token input and $0.40 for output.with Google's 2.5 Gemini models over the past month. In June, the company brought its 2.5 Pro and 2.5 Flash models into the public eye via the Gemini app, Google AI Studio, and Vertex AI spaces. The most important part of that announcement was revealing that 2.5 Flash-Lite was entering its preview stage. This iteration came only a few months after Google made the 2.0 version public earlier this year.At the time, Google pushed the cost-efficient and fast sides of 2.5 Flash-Lite for developers looking to quicken their workload. In the event that you require more thought power, there is Gemini 2.5 Pro." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].40 for output. This pricing strategy aims to make advanced AI capabilities accessible to a broader range of users. Notably, Gemini 2.5 Flash-Lite has already been put to the test in real-world scenarios. Companies such as Satlyt have leveraged this model to expedite the summarization of telemetry data and process satellite information with remarkable speed. This development follows the preview stage initiated in June, coinciding with the public release of the 2.5 Flash and 2.5 Pro models within the Gemini app, Vertex AI, and AI Studio platforms. The culmination of Google's recent advancements in the 2.5 model lineup has arrived, marking a pivotal moment for the tech giant. In a communication to Android Central, Google confirmed that Gemini 2.5 Flash-Lite has transitioned from its testing phase to general availability. The announcement was further elaborated in a blog post on the Developers platform, emphasizing the model's speed and cost-effectiveness. With the introduction of Gemini 2.5 Flash-Lite, Google continues to build on its legacy of innovation. The company previously showcased its 2.5 Pro and 2.5 Flash models, which were made publicly available in June. This strategic rollout underscores Google's commitment to providing powerful AI tools that cater to the diverse needs of developers. For those seeking enhanced computational capabilities, the Gemini 2.5 Pro remains an option, ensuring that users can choose the level of power that best suits their requirements. As the landscape of AI continues to evolve, Google's latest offerings are poised to play a crucial role in shaping the future of technology." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"].10 per 1 million tokens for input and [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: What you need to know Google has officially unveiled the "general availability" of its Gemini 2.5 Flash-Lite model, a significant addition to its suite of AI offerings. This latest variant is touted as the most cost-efficient and fastest in the 2.5 series, promising to enhance productivity for developers and businesses alike. The pricing structure for this model is particularly appealing, with costs set at [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: What you need to knowGoogle announced the "general availability" of its Gemini 2.5 Flash-Lite model, which is said to be its most cost-efficient and fastest version in the 2.5 series.While developers can find $0.10 per 1M token input and $0.40 for output, 2.5 Flash-Lite has already gone through some heavy real-world scenarios.Companies like Satlyt have used the model to help summarize telemetry data and process satellite data far quicker than before.Gemini 2.5 Flash-Lite entered its preview stage in June during the public availability of 2.5 Flash and 2.5 Pro in the Gemini app, Vertex AI, and AI Studio.The finale to Google's recent string of 2.5 models has arrived, as the company highlights a Gemini variant previously held in testing.This afternoon (July 22), in an email to Android Central, Google announced the "general availability" of Gemini 2.5 Flash-Lite, which has exited its preview stage. The company went into more in-depth detail in a Developers blog post, stating this Gemini variant is its "fastest" and most "cost-efficient" AI model. The post details developers will find costs at $0.10 per 1M token input and $0.40 for output.with Google's 2.5 Gemini models over the past month. In June, the company brought its 2.5 Pro and 2.5 Flash models into the public eye via the Gemini app, Google AI Studio, and Vertex AI spaces. The most important part of that announcement was revealing that 2.5 Flash-Lite was entering its preview stage. This iteration came only a few months after Google made the 2.0 version public earlier this year.At the time, Google pushed the cost-efficient and fast sides of 2.5 Flash-Lite for developers looking to quicken their workload. In the event that you require more thought power, there is Gemini 2.5 Pro." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].10 per 1 million tokens for input and [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: What you need to knowGoogle announced the "general availability" of its Gemini 2.5 Flash-Lite model, which is said to be its most cost-efficient and fastest version in the 2.5 series.While developers can find $0.10 per 1M token input and $0.40 for output, 2.5 Flash-Lite has already gone through some heavy real-world scenarios.Companies like Satlyt have used the model to help summarize telemetry data and process satellite data far quicker than before.Gemini 2.5 Flash-Lite entered its preview stage in June during the public availability of 2.5 Flash and 2.5 Pro in the Gemini app, Vertex AI, and AI Studio.The finale to Google's recent string of 2.5 models has arrived, as the company highlights a Gemini variant previously held in testing.This afternoon (July 22), in an email to Android Central, Google announced the "general availability" of Gemini 2.5 Flash-Lite, which has exited its preview stage. The company went into more in-depth detail in a Developers blog post, stating this Gemini variant is its "fastest" and most "cost-efficient" AI model. The post details developers will find costs at $0.10 per 1M token input and $0.40 for output.with Google's 2.5 Gemini models over the past month. In June, the company brought its 2.5 Pro and 2.5 Flash models into the public eye via the Gemini app, Google AI Studio, and Vertex AI spaces. The most important part of that announcement was revealing that 2.5 Flash-Lite was entering its preview stage. This iteration came only a few months after Google made the 2.0 version public earlier this year.At the time, Google pushed the cost-efficient and fast sides of 2.5 Flash-Lite for developers looking to quicken their workload. In the event that you require more thought power, there is Gemini 2.5 Pro." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].40 for output. This pricing strategy aims to make advanced AI capabilities accessible to a broader range of users. Notably, Gemini 2.5 Flash-Lite has already been put to the test in real-world scenarios. Companies such as Satlyt have leveraged this model to expedite the summarization of telemetry data and process satellite information with remarkable speed. This development follows the preview stage initiated in June, coinciding with the public release of the 2.5 Flash and 2.5 Pro models within the Gemini app, Vertex AI, and AI Studio platforms. The culmination of Google's recent advancements in the 2.5 model lineup has arrived, marking a pivotal moment for the tech giant. In a communication to Android Central, Google confirmed that Gemini 2.5 Flash-Lite has transitioned from its testing phase to general availability. The announcement was further elaborated in a blog post on the Developers platform, emphasizing the model's speed and cost-effectiveness. With the introduction of Gemini 2.5 Flash-Lite, Google continues to build on its legacy of innovation. The company previously showcased its 2.5 Pro and 2.5 Flash models, which were made publicly available in June. This strategic rollout underscores Google's commitment to providing powerful AI tools that cater to the diverse needs of developers. For those seeking enhanced computational capabilities, the Gemini 2.5 Pro remains an option, ensuring that users can choose the level of power that best suits their requirements. As the landscape of AI continues to evolve, Google's latest offerings are poised to play a crucial role in shaping the future of technology." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"].40 for output. Companies like Satlyt have utilized the model for summarizing telemetry data and processing satellite information more quickly. Gemini 2.5 Flash-Lite entered its preview stage in June, alongside the public release of the 2.5 Flash and 2.5 Pro models.
AppWizard
June 26, 2025
WhatsApp is introducing a "Message Summaries" feature to help users manage unread messages by providing concise overviews of conversations. This feature, powered by Meta AI, will display a banner in chats with many unread messages, allowing users to access key points in bullet form, including mentions of individuals. Currently, it is being rolled out to English-speaking users in the U.S., with plans for broader availability later. The feature is disabled by default to prioritize user privacy, and users can enable it in their settings. WhatsApp has also introduced "Ads in Status" for business growth, "Promoted Channels" for recommending channels, new video call effects, and improved emoji reaction sharing. Additionally, Meta AI has launched a dedicated app with features like Live Translation and AI discussions.
Winsage
June 16, 2025
The end of support for Windows 10 is set for October 14, 2025, after which users will not receive security updates, bug fixes, or technical support, exposing them to cyber threats. Many legacy PCs do not meet the system requirements for Windows 11, leading to potential compatibility issues and performance problems if upgraded. Investing in a new Windows 11-compatible PC ensures better performance, energy efficiency, and long-term support, with built-in security features like TPM 2.0 and Secure Boot. Transitioning to Windows 11 offers advantages such as an improved user interface, integrated AI tools, enhanced default apps, personalizable workspaces, and better visuals. Continuing to use an unsupported Windows platform after 2025 can result in compliance issues, data loss, and increased maintenance costs. Replacing hardware rather than upgrading can mitigate these risks and ensure access to ongoing security features.
AppWizard
June 4, 2025
Google has updated the Gemini Nano APIs through the ML Kit, introducing new GenAI APIs that allow developers to perform on-device inference for generative AI capabilities in Android applications. These APIs enhance user privacy by executing all operations locally, eliminating cloud processing costs. Features include summarization of articles up to 3,000 words, proofreading for grammatical accuracy, rewriting text in various tones, and generating image descriptions. The GenAI APIs are optimized for Android devices using MediaTek Dimensity, Qualcomm Snapdragon, and Google Tensor platforms, including the Pixel 9 series and Samsung Galaxy S25. They operate without internet connectivity, ensuring rapid response times and improved performance for tasks like summarization and proofreading. The local processing also enhances privacy and security, protecting sensitive user information with safety protocols.
Winsage
May 30, 2025
Microsoft has introduced text formatting capabilities in the Windows 11 Notepad application, allowing users to utilize Markdown-style input. This feature is part of the Windows 11 24H2 update for Insiders in the Release Preview Channel. Users can apply formatting options such as bold, italic, hyperlinks, lists, and headings, while also having the option to revert to plain text easily. The update is being rolled out to Windows Insiders in the Canary and Dev Channels with version 11.2504.50.0 of the app. This enhancement is part of a broader initiative to modernize Notepad, which has included features like multiple tabs, a built-in character counter, spell check, autocorrect, and AI-powered text summarization and generation. Users can disable new AI functionalities or uninstall the app to revert to the classic notepad.exe program.
Winsage
May 20, 2025
Microsoft is integrating AI shortcuts, called AI actions, into the File Explorer of Windows 11, allowing users to right-click on files for quick access to various AI features. Four image-related actions currently being tested include Bing visual search, background blurring, object erasure from the Photos app, and a remove background option in Paint. Microsoft plans to introduce AI actions for Office files, enabling document summarization and AI-driven list generation for Microsoft 365 commercial subscribers with a Copilot license. An "Ask Copilot" option will also be added to the right-click menu. Additionally, Microsoft is experimenting with visual updates to the widgets feature and has introduced a new power management feature that reduces energy consumption on laptops and tablets after periods of inactivity.
AppWizard
May 17, 2025
Google announced on May 14, 2025, the expansion of its ML Kit offerings with new GenAI APIs powered by the Gemini Nano model, aimed at providing Android developers with access to advanced AI features while ensuring user privacy through on-device processing. The ML Kit GenAI APIs include four key capabilities: summarization, proofreading, rewriting, and image description. These APIs process data locally, keeping user data on the device, ensuring consistent functionality without internet connectivity, and avoiding recurring server costs. This development enhances the accessibility of sophisticated AI capabilities for Android developers and aligns with consumer privacy concerns. The architecture allows for future expansion of capabilities as Gemini models evolve.
AppWizard
May 16, 2025
Google is preparing to unveil new mobile AI tools at the upcoming I/O event, including a suite of APIs that will enable developers to use Gemini Nano for on-device AI applications. The ML Kit SDK will be updated to support on-device generative AI functionalities through Gemini Nano, which integrates with existing models and offers predefined features for ease of implementation. The ML Kit’s GenAI APIs will allow applications to perform tasks such as summarization, proofreading, rewriting, and image description without cloud data transmission. However, Gemini Nano's capabilities are limited compared to cloud-based options, with summaries restricted to three bullet points and image descriptions available only in English. The standard version, Gemini Nano XS, requires about 100MB of storage, while the smaller Gemini Nano XXS is text-only and occupies a quarter of that size. ML Kit is compatible with devices beyond Google's Pixel lineup, including the OnePlus 13, Samsung Galaxy S25, and Xiaomi 15, providing developers opportunities to enhance applications with generative AI features.
AppWizard
May 16, 2025
Google is expanding its Gemini Nano AI model by introducing new ML Kit GenAI APIs, expected to be unveiled at the I/O 2025 event. These APIs will allow developers to integrate features such as text summarization, proofreading, rewriting, and image description generation into their applications. Gemini Nano operates on devices, enhancing privacy by processing data locally. The ML Kit GenAI APIs will support various languages and functionalities, including generating concise summaries, correcting grammar, transforming chat messages, and providing image descriptions. Unlike the experimental AI Edge SDK, the GenAI APIs will be in beta, allowing for broader device compatibility beyond the Pixel 9 series, including other Android devices. Public documentation for the ML Kit GenAI APIs is now available for developers.
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