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Google has launched Gemma 3, the latest version of its family of open AImodels that aim to set a new benchmark for AI accessibility. models, Gemma 3 is engineered to be lightweight, portable, and adaptableenabling developers to create AI applications across a wide range of devices.
Dr Swami Sivasubramanian, VP of AI and Data at AWS, said: “Amazon Bedrock continues to see rapid growth as customers flock to the service for its broad selection of leading models, tools to easily customise with their data, built-in responsibleAI features, and capabilities for developing sophisticated agents.
These contributions aim to strengthen the process and outcomes of red teaming, ultimately leading to safer and more responsibleAI implementations. As AI continues to evolve, understanding user experiences and identifying risks such as abuse and misuse are crucial for researchers and developers.
A report published today by the National Engineering Policy Centre (NEPC) highlights the urgent need for data centres to adopt greener practices, particularly as the government’s AI Opportunities Action Plan gains traction. Some of this will come from improvements to AImodels and hardware, making them less energy-intensive.
By ensuring that datasets are inclusive, diverse, and reflective of local languages and cultures, developers can create equitable AImodels that avoid bias and meet the needs of all communities. These safeguards are especially vital for promoting human-centred AI that benefits all of society.
Dr Jean Innes, CEO of the Alan Turing Institute , said: This plan offers an exciting route map, and we welcome its focus on adoption of safe and responsibleAI, AI skills, and an ambition to sustain the UKs global leadership, putting AI to work driving growth, and delivering benefits for society.
She is the co-founder of the Web Science Research Initiative, an AI Council Member and was named as one of the 100 Most Powerful Women in the UK by Woman’s Hour on BBC Radio 4. A key advocate for responsibleAI governance and diversity in tech, Wendy has played a crucial role in global discussions on the future of AI.
A robust framework for AI governance The combination of IBM watsonx.governance™ and Amazon SageMaker offers a potent suite of governance, risk management and compliance capabilities that streamline the AImodel lifecycle. In highly regulated industries like finance and healthcare, AImodels must meet stringent standards.
The models are free for non-commercial use and available to businesses with annual revenues under $1 million. The company emphasised its commitment to responsibleAI development, implementing safety measures from the early stages. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.
Victor Botev, CTO and co-founder of Iris.ai, said: “With the global shift towards AI regulation, the launch of Meta’s Llama 3 model is notable. By embracing transparency through open-sourcing, Meta aligns with the growing emphasis on responsibleAI practices and ethical development.
London-based AI lab Stability AI has announced an early preview of its new text-to-image model, Stable Diffusion 3. The advanced generative AImodel aims to create high-quality images from text prompts with improved performance across several key areas. We believe in safe, responsibleAI practices.
. “What we’re going to start to see is not a shift from large to small, but a shift from a singular category of models to a portfolio of models where customers get the ability to make a decision on what is the best model for their scenario,” said Sonali Yadav, Principal Product Manager for Generative AI at Microsoft.
Indeed, as Anthropic prompt engineer Alex Albert pointed out, during the testing phase of Claude 3 Opus, the most potent LLM (large language model) variant, the model exhibited signs of awareness that it was being evaluated. In addition, editorial guidance on AI has been updated to note that ‘all AI usage has active human oversight.’
This document outlines the preparedness framework for assessing the model’s safety, including evaluations of its speech-to-speech capabilities, text and image processing, and potential societal impacts. Overall, the introduction of the GPT-4o System Card represents a significant advancement in the transparency and safety of AImodels.
The University of Oxford’s project, bolstered by £640,000, seeks to expedite research into a foundational AImodel for clinical risk prediction. Scheduled for later this year, the AI safety summit will provide a platform for international stakeholders to collaboratively address AI’s risks and opportunities.
The benefits of using Amazon Bedrock Data Automation Amazon Bedrock Data Automation provides a single, unified API that automates the processing of unstructured multi-modal content, minimizing the complexity of orchestrating multiple models, fine-tuning prompts, and stitching outputs together.
These models must handle various data types and applications without compromising performance or security. Ensuring that these models operate within ethical frameworks and maintain user trust adds another layer of complexity to the task. Introducing these models signifies a step towards more efficient and user-centric AI solutions.
The result is a smaller, more efficient model that retains much of the performance of the original, larger model. The Process of Model Pruning and Distillation Model pruning is a technique for making AImodels smaller and more efficient by removing less critical components.
The release of Pixtral 12B by Mistral AI represents a groundbreaking leap in the multimodal large language model powered by an impressive 12 billion parameters. This advanced AImodel is designed to handle and generate textual and visual content, making it a versatile tool for various industries.
As industries increasingly seek cost-effective and scalable AI solutions, miniG emerges as a transformative tool, setting a new standard in developing and deploying AImodels. Background and Development of miniG miniG, the latest creation by CausalLM, represents a substantial leap in the field of AI language models.
Despite the progress, the field faces significant challenges regarding transparency and reproducibility, which are critical for scientific validation and public trust in AI systems. The core issue lies in the need for AImodels to be more open. Check out the Paper. If you like our work, you will love our newsletter.
Modern AImodels excel in text generation, image understanding, and even creating visual content, but speech—the primary medium of human communication—presents unique hurdles. GLM-4-Voice brings us closer to a more natural and responsiveAI interaction, representing a promising step towards the future of multi-modal AI systems.
The introduction of ShieldGemma underscores Google’s commitment to responsibleAI deployment, addressing concerns related to the ethical use of AI technology. Check out the Models and Details. Don’t Forget to join our 47k+ ML SubReddit Find Upcoming AIWebinars here The post Gemma 2-2B Released: A 2.6
Over the years, ODSC has developed a close relationship with them, working together to host webinars, write blogs, and even collaborate on sessions at ODSC conferences. Below, you’ll find a rundown of all of our Microsoft and ODSC collaborative efforts, including past webinars & talks, blogs, and more.
Transparency and Explainability Transparency in AI systems is crucial for building trust among users and stakeholders. Consultants must bridge this knowledge gap by providing education and training on ethical considerations in AI. Ethical leadership fosters a commitment to responsibleAI consulting at all levels of the organization.
A team of researchers from Microsoft ResponsibleAI Research and Johns Hopkins University proposed Controllable Safety Alignment (CoSA) , a framework for efficient inference-time adaptation to diverse safety requirements. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.
As businesses increasingly rely on AI and data-driven decision making, the issues of data security, privacy, and governance have indeed come to the forefront. It should include guidelines for data quality, data integration, and data security, as well as defining roles and responsibilities for data management.
This initiative aims to support the development of safe and trustworthy AI systems by providing a robust and accessible platform for experimentation. Image Source In September 2024, AI2 introduced Molmo , a family of multimodal AImodels capable of processing text and visual data. Don’t Forget to join our 60k+ ML SubReddit.
How to build stunning Data Science Web applications in Python Thu, Feb 23, 2023, 12:00 PM — 1:00 PM EST This webinar presents Taipy, a new low-code Python package that allows you to create complete Data Science applications, including graphical visualization and the management of algorithms, models, and pipelines.
Upcoming Webinars: Predicting Employee Burnout at Scale Wed, Feb 15, 2023, 12:00 PM — 1:00 PM EST Join us to learn about how we used deidentification and feature selection on employee data across different clients and industries to create models that accurately predict who will burnout.
Debugging Object Detection Models, 8 Trending LLMs, New AI Tools, and Generative AI as a Must-Have Skill Debug Object Detection Models with the ResponsibleAI Dashboard This blog will focus on the Azure Machine Learning ResponsibleAI Dashboard’s new vision insights capabilities, supporting debugging capabilities for object detection models.
5 Must-Have Skills to Get Into Prompt Engineering From having a profound understanding of AImodels to creative problem-solving, here are 5 must-have skills for any aspiring prompt engineer. The Implications of Scaling Airflow Wondering why you’re spending days just deploying code and ML models?
In an ODSC webinar , Pandata’s Nicolas Decavel-Bueff and myself ( Cal Al-Dhubaib ) partnered with Data Stack Academy’s Parham Parvizi to share some of the lessons we’ve learned from building enterprise-grade large language models (LLMs) — and tips on how data scientists and data engineers can get started as well.
AI can forecast customer needs and market trends, helping businesses anticipate changes and adapt their strategies accordingly. Enhancing Agility and ResponsivenessAI strategies facilitate real-time monitoring of business operations, allowing companies to quickly respond to changes in the market or operational inefficiencies.
Microsoft has disclosed a new type of AI jailbreak attack dubbed “Skeleton Key,” which can bypass responsibleAI guardrails in multiple generative AImodels. The Skeleton Key jailbreak employs a multi-turn strategy to convince an AImodel to ignore its built-in safeguards.
OpenAI claims its commitment to designing AImodels with safety in mind has often thwarted the threat actors’ attempts to generate desired content. Additionally, the company says AI tools have enhanced the efficiency of OpenAI’s investigations. OpenAI says it remains dedicated to developing safe and responsibleAI.
These features are designed to help developers build responsibly, ensuring that AI applications are safe and secure. Meta’s commitment to responsibleAI development is further reflected in their request for comment on the Llama Stack API, which aims to standardize and facilitate third-party integration with Llama models.
This development marks a pivotal moment for the company and the broader AI community, showcasing the potential of highly efficient, low-resource AImodels. A Step Forward in AIModel Efficiency The release of Lite Oute 2 Mamba2Attn 250M comes when the industry increasingly focuses on balancing performance with efficiency.
The release of the “First Draft General-Purpose AI Code of Practice” marks the EU’s effort to create comprehensive regulatory guidance for general-purpose AImodels. By acknowledging the continuously evolving nature of AI technology, the draft recognises that this taxonomy will need updates to remain relevant.
Researchers and developers can experiment with the model, fine-tune it for specific tasks, and even contribute improvements to the underlying architecture. This approach also aligns with growing concerns about the ethical implications of AI technology. If you like our work, you will love our newsletter.
The evaluation involved analyzing student feedback, written assignments, AImodel outputs, and teacher observations, with thematic analysis revealing the benefits and challenges of using no-code AI tools in educational settings. Check out the Report. All credit for this research goes to the researchers of this project.
ODSC, in collaboration with Microsoft, is excited to host two hands-on webinars designed to help developers and AI practitioners harness the power of Azure OpenAI Service. Whether youre a developer, programmer, or researcher, this session will equip you with essential skills to leverage AI-powered applications effectively.
The platform offers unprecedented security and customization, allowing organizations to fine-tune Claude models within AWS, maintain data privacy and security, and meet stringent regulatory requirements. Next-Generation AIModels: Claude 3.5 Sonnet and Claude 3.5 Haiku Claude 3.5 on complex coding tasks.
Providing better transparency for citizens and government employees not only improves security, he explained, but also gives visibility into a models datasets, training, weights, and other components. What does it mean for an AImodel to be “open”? Sobrier warned of complacency in the face of rapid AI progress.
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