Tech
Google Introduces Gemma: Open-Source Lightweight AI Models for Developers
Google Introduces Gemma: Open-Source Lightweight AI Models for Developers
On Wednesday, February 21, Google announced the introduction of Gemma, a new family of open-source, lightweight artificial intelligence (AI) models. Researchers and developers now have access to two different versions of Gemma: Gemma 2B and Gemma 7B. According to the tech behemoth, Gemma was developed using the same tools and research as the Gemini AI models. The Gemini 1.5 model was interestingly revealed last week. With these reduced language models, task-specific AI solutions can be created, and the company permits distribution and responsible commercial use.
Google CEO Sundar Pichai made the announcement in a post on X, formerly known as Twitter. “Gemma is available worldwide starting today in two sizes (2B and 7B), supports a wide range of tools and systems, and runs on a developer laptop, workstation, or @GoogleCloud,” he stated. “Demonstrating strong performance across benchmarks for language understanding and reasoning.” A developer-focused landing page for the AI model has also been created by the company. On this page, users can access code samples and quickstart links for Kaggle Models, quickly deploy AI tools using Vertex AI (Google’s platform for developers to build AI/ML tools), or experiment with the model and connect it to a different domain using Collab (Keras 3.0).
Google stated that both versions of the Gemma AI models are instruction-tuned and pre-trained, highlighting some of its features. Popular data repositories like Hugging Face, MaxText, NVIDIA NeMo, and TensorRT-LLM are integrated with it.
The language models can be used with Vertex AI and Google Kubernetes Engine (GKE) on laptops, workstations, or Google Clouds. In order to assist developers in creating safe and ethical AI tools, the tech giant has also published a new ethical Generative AI Toolkit.
Also Read: YouTube Unveils Enhanced Channel Pages for Creators on TV App
According to findings made public by Google, Gemma has surpassed Meta’s Llama-2 language model on several significant benchmarks, including BIG-Bench Hard (BBH), HumanEval, HellaSwag, and Massive Multitask Language Understanding (MMLU). Notably, according to a number of rumors, Meta has already started working on Llama-3.
Tech
Telegram Users Face ‘Connecting’ Error: Reports of Message Sending Issues in App
Telegram Users Face ‘Connecting’ Error: Reports of Message Sending Issues in App
Telegram users overall are confronting a disappointing “Connecting” error, flagging a boundless issue with the application’s usefulness. This issue shows while endeavoring to get to messages, gatherings, or channels, leaving clients unfit to successfully draw in with their substance.
The “Connecting” error, ordinarily connected with slow internet connections, has turned into a huge hindrance for Telegram users, impeding their capacity to remain associated and convey consistently. This disturbance isn’t restricted to the application alone; reports demonstrate that even the Telegram desktop client is impacted, intensifying the bother for clients across stages.
The rise of this blunder has started conversations and worries among the Telegram community, with various reports pouring in from different stages like X and Reddit. These reports reverberation a typical subject of clients experiencing the “Connecting” error and wrestling with its suggestions on their informing experience.
Telegram Blackout: Impact and Uncertainty
The timing of this blackout is outstanding, with reports showing that it started surfacing inside the beyond 20 minutes. The effect is felt especially in locales across Asia and portions of Europe, where clients are encountering disturbances in their Message use because of this network issue.
At this point, the reason behind this blackout stays hazy. Hypothesis goes from potential arranged support exercises to server-related issues or even the chance of organization assaults. Notwithstanding, conclusive data in regards to the main driver and goal of this issue is anticipated, leaving clients in a condition of vulnerability and bother.
Telegram’s team is reasonable working tirelessly to resolve this issue and reestablish typical usefulness for its clients. Meanwhile, impacted clients are encouraged to remain refreshed through true channels for any declarations or updates in regards to the continuous network difficulties tormenting the application.
Tech
WhatsApp warns it would shut down in India if forced to break chat encryption
Tech
Elon Musk’s X Set to Challenge YouTube with Dedicated TV App Launch
Elon Musk’s X Set to Challenge YouTube with Dedicated TV App Launch
According to CEO Linda Yaccarino, the social networking platform X, which is owned by Google, is set to create a TV app that will allow users to upload films of a high caliber. The user interface of the X TV app resembles YouTube quite a bit. Yaccarino claimed in a post on the social media site that “X is changing everything,” referring to the shift from the small to the big screen.
“You’ll soon be able to access thrilling, real-time programs on your smart TVs with the X TV App. According to the CEO of X, this will be your go-to partner for immersive, high-caliber entertainment on a bigger screen. Expect AI-powered themes, a trending video algorithm, a seamless cross-device experience, improved video search, easy casting, and broad availability (coming soon to most smart TVs).
We’ll keep you informed. Naturally, please share your thoughts as well. Yaccarino stated, “We build X for our community.” The purpose of the trending video algorithm is to provide consumers with personalized, viral material to keep them informed. Additionally, the app will feature enhanced video search, and the themes enabled by AI will group movies by topic.
Also Read: Meta Unveils Highly Capable Llama 3 AI Model
A video playlist or index for creators would be great, according to a comment made by user X, “so we can create our playlists.” “A lot of people share a wide range of videos, and they would like to distinguish between the 30-second news pieces they are commenting on and their unique content. The ability for users to see only the videos they have carefully selected would be beneficial.
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