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Singapore Rolls Out New Toolkit to Test Gen-AI Safety, Lays Out Plans to Shape Global Conversations Singapore has unveiled a new toolkit, Project Moonshot, to test the safety of generative artificial intelligence (gen-AI). This initiative underscores Singapore's ambition to be a frontrunner in AI safety. Project Moonshot, developed by the AI Verify Foundation and the Infocomm Media Development Authority (IMDA), is designed to address safety and security challenges associated with large language models (LLMs). By shaping the conversation around AI safety, Singapore hopes to play a key role in ensuring the responsible development and deployment of AI technologies. #singapore #ai #technology #ai-safety #generative-ai #large-language-models https://lnkd.in/gU_kqFBG

🚨 Attention Innovators in Mainland China and Hong Kong! 🚨 Recent news has highlighted that OpenAI is tightening restrictions to block access to its generative AI services via APIs for "unsupported countries and territories," including Mainland China and Hong Kong. This move significantly impacts many Chinese companies that rely on #OpenAI's large language models (#LLMs) to develop their own services and applications. However, there's a solution! Votee AI is here to assist you in overcoming these challenges. If you're developing cutting-edge applications or seeking AI-driven solutions, we can help. 🌟 Reach out to Votee AI today to discover how we can support your AI initiatives! 🌟 #AI #Innovation #OpenAI #VoteeAI #Technology #China #HongKong #APIs #LLM

Estonia’s Tech Revolution Shows US How to Win the AI Race Estonia’s remarkable #digitaltransformation offers key lessons for the US to lead the #ai revolution. By prioritizing #innovation and adopting a citizen-centric approach, the #US can unlock new possibilities in the AI era. Discover more on how Estonia is paving the way. Read more The Inspirepreneur Magazine - https://lnkd.in/gDbEucfa LinkedIn Adobe Salesforce Welcome.AI The Economic Times World Economic Forum #australia #melbourne #inspirepreneurmagazine

Want to know more about managing Large Language Models (LLMs) ethically and responsibly? Catch the latest white paper updates from the NZ Working Group on Large Language Models below. https://lnkd.in/g8i4pe7X The purpose of the white paper is to provide a comprehensive overview of the benefits, challenges, and governance considerations associated with LLMs in New Zealand, as well as best practices for deploying and managing these models in the local context. This will help organisations and individuals make informed decisions about how to use LLMs responsibly and ethically. Find out which people and businesses are impacted, what is RAG (retrievable augmented generation) and opportunities to get involved and access all this NZ relevant information. Madeline Newman #ai AI Forum NZ #canterburytech #techcommunity #nztech

The latest report by CB Insights, "The Enterprise AI Roadmap," highlights the growing importance of Small Language Models (SLMs). With fewer parameters and lower computational power requirements, these models are faster to train and more cost-effective than large language models (LLMs). For specific tasks, SLMs can even outperform their larger counterparts. We've been at the forefront of this trend, investing in research and development with SLMs and edge solutions. Our efforts are geared towards implementing SLMs with Retrieval-Augmented Generation (RAG) on embedded devices, leading to: ☝️cost reduction, ☝️enhanced data privacy, ☝️offline use. Dive deeper into how we're leveraging SLMs to drive innovation and efficiency in enterprise AI in our article "Implementing Small Language Models (SLMs) with RAG on Embedded Devices": 👉 https://lnkd.in/dTy_jY8u #EnterpriseAI #SmallLanguageModels #SLMs #AI #TechInnovation #DataPrivacy #CostReduction #EdgeComputing #ArtificialIntelligence

🌎 Global service organizations usually have knowledge in different languages, spread across vast data sources and in the minds of individuals.   Neuron7 brings this knowledge together to connect the entire organization with: 🎯 Accurate resolutions 🗣 Across languages 🌐 Anywhere in the world ⏱ In real time   Multi-national service environments need multilingual capabilities to get the best results from AI (and avoid recreating knowledge silos).   Learn more in, "Multilingual AI for Global Service Organizations" #Multilingual #AI #FieldService #TechnicalSupport

Navigating the Next Generation of AI: LLM-Agnostic Approach   In the rapidly changing world of AI, it's no longer about creating new models, but about effectively deploying existing ones. Large Language Models (LLMs) have become a game-changer in this regard. To make the most of LLMs, it's important to focus on application over creation. Here are some key takeaways for effectively utilizing LLMs:   - Embrace LLMs: Utilize existing LLMs to their fullest potential rather than investing in building your own. Efficiency and agility in application trump the prestige of ownership. - Prioritize Practicality: Focus on solving real-world challenges and improving operational efficiency. - Stick to Core Principles: Ensure ethical governance, maintain data security, adhere to global AI regulations, and aim for impactful AI applications that offer a strong return on investment. - Beyond the LLM Race: The true advantage lies in customizing and applying LLMs innovatively to unlock new levels of efficiency and innovation. - Action Items: Tailor LLMs to your specific needs, fine-tune them with data, and identify and implement LLM-driven solutions across your operations.   In essence, lead by applying and customizing LLMs thoughtfully rather than just competing in the race to develop them. This approach positions your organization to exploit the full potential of LLMs, ensuring a competitive edge in the digital era. #AI #LLMs #innovation #digitaltransformation

The pace of token generation in large language models (LLMs) may seem sufficient for human consumption, but what about when LLMs are part of a dynamic system that includes reflection, tool usage, planning, execution, and collaboration among multiple agents? The demand for token generation can skyrocket, making speed a critical factor. Innovations by models like Groq and SambaNova, which have demonstrated the ability to generate hundreds of tokens per second, are pivotal in addressing this need. This acceleration not only enhances the user experience but also streamlines the evaluation process, which is essential for model tuning and performance enhancement. With the cost of AI training and inference on a steep decline, we can anticipate a future where the economics of AI will drastically shift. The trajectory of LLM development is poised for rapid advancement, with faster token generation and decreasing costs. If predictions are right, we will see a 75% annual reduction in training costs. This will reduce the financial barrier of training sophisticated models and will potentially lead to a surge in innovation and accessibility in the field of AI. Cost reduction predictions from Here: https://lnkd.in/gC4DpU4B #AI #LLM #token #innovation

The IMDA and AI Verify Foundation recently finalized the Model AI Governance Framework for Generative AI in Singapore and launched Project Moonshot, an open-source Large Language Models (LLM) evaluation toolkit which allows businesses to assess their LLM applications with the aim of ensuring that AI applications which are placed on the market can be safe and trusted. Read our Legal Update to find out more about these two developments. #AI #artificialintelligence #Singapore #SingaporeLaws #Regulations #LLM

Microsoft recently introduced Phi-3 Mini, a small but powerful language model that indicates a shift towards creating smaller, efficient, and cost-effective AI solutions. The Phi-3 Mini is part of Microsoft's new family of small language models (SLMs), designed for precision and efficiency. Despite its modest size of 3.8 billion parameters, it outperforms models twice its size, making it an ideal choice for applications needing quick and reliable AI functionalities without the overhead of larger models. The Phi-3 Mini is tailored for specific tasks like summarizing documents, extracting insights, and generating content, ensuring that even small-scale projects can benefit from high-quality AI. Phi-3 Mini has set new standards in the AI field by achieving impressive scores on the Massive Multitask Language Understanding (MMLU) benchmark, surpassing larger models like Mistral 7B and Gemma 7B. This showcases its ability to deliver high-performance despite its smaller scale. Read more about Phi-3 Mini here: https://lnkd.in/gBP2rHeX Don't miss out on future updates about breakthroughs in AI technology. Follow us to remain updated on how #AI is transforming industries across the globe. #microsoftai #phi3mini #airevolution #techinnovation #ml #machinelearning #mistral #largelanguagemodels #llms