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This Tuesday (14), the Google I/O 2024 was the stage for the latest innovations in the field of artificial intelligence by the company Google, introducing the world to new versions of the acclaimed language model Gemini and the expansion of the family of LLMs Gem, an open source platform for AI development. 4c5v6z
Let's find out about the news announced as the new Gemini 1.5 Flash, promising more agility and savings, in addition to the upgrades that arrive with the Gemini 1.5 Pro. Check out the latest news from this wave of artificial intelligence that has transformed the way we relate to technology and the world around us!
Gemini 1.5 Flash, optimized for agility 3s3i5h
O Google I/O 2024 shook the world of technology with the launch of Gemini 1.5 Flash, a turbocharged version of the language model Gemini. Get ready for an explosion of speed, efficiency and power that redefines the possibilities of artificial intelligence!
With processing 20 times faster than its predecessor, the Gemini 1.5 Flash impresses by generating instant responses and carrying out complex tasks in record time. From immediate translations to interactions with chatbots responsive, the speed of this model redefines the concept of efficiency. According to the company itself, the model is capable of analyzing a 1500-page document or code with more than 30.000 lines.
Furthermore, its energy efficiency is unparalleled, with up to 80% less energy consumption. This feature makes the Gemini 1.5 Flash ideal for mobile devices, guaranteeing unprecedented performance without compromising battery life. And despite its extraordinary speed, the Gemini 1.5 Flash maintains the precision and fluency of the original model. This means that the quality of responses and results remains unchanged, ensuring a flawless experience across multiple applications.
From automatic translations to the creation of creative texts, Gemini 1.5 Flash offers a unique combination of power and efficiency, opening doors to a variety of tasks with exceptional results, revolutionizing the mobile experience. The new model promises instant virtual assistants, real-time translations, and unprecedented natural language processing, all without draining your battery.
For the Internet of Things (IoT), this technology offers smart devices capable of responding to commands quickly and with energy efficiency, opening the way to a world of possibilities for these small devices integrated into everyday life.
More than just a fast language model, the Gemini 1.5 Flash presents yet another tool for the future of artificial intelligence. With its combination of speed, efficiency and power, it has the potential to transform the way we interact with technology and the world around us. As Gemini 1.5 Flash is introduced into new products, we can expect even more innovative applications and their practical impacts.
Updates to Gemini 1.5 Pro 406q2g
In addition to fast Gemini 1.5 Flash, Google presented more details of Gemini 1.5 Pro, an upgrade powered by incredible features for s looking for absolute performance. With a context window of 2 million tokens, the model is capable of interpreting a text of 1500 pages or summarizing up to 100 emails. This ability allows for much more contextualized processing and understanding of information, resulting in accurate, creative and relevant responses in any task, from translations to creative writing.
In addition to extending its context window to 2 million tokens, a number of improvements have been made in key areas, including code generation, logical reasoning and planning, multi-turn conversation, and audio and image understanding, thanks to advances in both data and algorithms. These enhancements translate into robust improvements in benchmarks public and internal for each of these tasks.
One of the achievements highlighted during the event is the capacity of 1.5 Pro of following increasingly complex and subtle instructions, including those that specify a person's behavior or a product's characteristic. Additionally, control over model responses has been improved for specific use cases, such as creating a chat agent's persona and response style, or automating workflows through multiple function calls. s can now direct model behavior by defining system instructions.
Another notable advancement is the addition of audio understanding to the Gemini API and Google AI Studio, allowing 1.5 Pro to reason about both images and audio for videos loaded into the Google AI Studio. 1.5 Pro is being integrated into Google, including the Gemini Advanced and the applications of workspace, making it possible to use it today.
New Gemma models, Google's family of AIs 2g2f3
During the Google I/O, the company also announced a powerful addition to its artificial intelligence arsenal: the PaliGemma, a VLM model inspired by PaLI-3. Built including the view model SigLIP and the language model Gem, PaliGemma is designed to deliver high-level performance across a wide range of vision and language tasks.
Among the capabilities of PaliGemma are captioning images and short videos, answering visual questions, understanding text in images, object detection, and object segmentation. Additionally, to facilitate exploration and research, the PaliGemma is available on different platforms and resources. Academic researchers interested in expanding the boundaries of vision and language research can apply for credits from the Google Cloud to your work.
O PaliGemma can be found on multiple platforms, including GitHub, Kaggle and Vertex AI Model Garden, with easy integration through JAX e Hugging Face Transformers. Additionally, integration with the library Hard is coming soon and s can interact with the model through Hugging Face Space.
The other new feature arriving among the family resources Gem is Gemma 2, promising unprecedented performance and efficiency for artificial intelligence developers. Available in new sizes to suit different projects, the Gemma 2 brings a completely new architecture, designed to offer advantages such as:
With 27 billion parameters, the Gemma 2 presents performance comparable to the llama 3 of 70 billion, taking up less than half the space. This revolutionary efficiency sets a new standard in the open model landscape.
The efficient design of the Gemma 2 allows it to operate at less than half the computational capacity required by similar models. The 27 billion model is optimized to run on the company's GPUs. NVIDIA or on a single TPU host in the Vertex A.I, making implementation more accessible and cost-effective for a wider range of s.
O Gemma 2 it will also offer developers a wide range of tuning tools across a diverse ecosystem of platforms. From cloud-based solutions like Google Cloud, to popular community tools like Axolotls, the configuration of the Gemma 2 it's never been so easy.
Did you like the new versions and applications of Gemini AI? Tell us in the comments!
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Text proofread by: Pedro Bomfim
