Webfor的动态

We can’t get rid of bias. So we shouldn’t want AI (LLMs) to be controlled by a small number of companies on the US West Coast. We need to hear from everyone, not just a select few. Open source is key to enabling a diverse range of perspectives. By allowing for fine-tuning and customization, open source empowers communities to adapt AI systems with guardrails that reflect their unique values, needs, and cultures. This goes beyond diversity in political opinions. It's about creating AI systems that are culturally rich, inclusive of varied languages, attuned to distinct value systems, and capable across different technical domains. To truly realize AI's potential for everyone, we must support open-source development. Absolutely agree with Jakob, same goes for companies.

#APG_News We are sharing news that is very important to us and relevant to businesses. Our team is developing two new artificial intelligence products for small and medium-sized businesses: a Lithuanian language ad copy generator and a catalog of AI (prompts) for different sectors. Aurimas explained what we are creating, why, and how on ?ini? radijas – we invite you to listen!

Many Large Language Models (LLMs) excel in general knowledge but often struggle with detailed, domain-specific questions, leading to inaccuracies. To enhance research precision, LLMs need domain-specific data and expert vetting. Understanding culturally and linguistically diverse data is crucial for inclusivity. At EBSCO, we're committed to ensuring equitable information in our AI responses. Learn more about our commitment to equity in AI: https://m.ebsco.is/uhFhM #AIEquity #AIResearch #LargeLanguageModels

Many Large Language Models (LLMs) excel in general knowledge but often struggle with detailed, domain-specific questions, leading to inaccuracies. To enhance research precision, LLMs need domain-specific data and expert vetting. Understanding culturally and linguistically diverse data is crucial for inclusivity. At EBSCO, we're committed to ensuring equitable information in our AI responses. Learn more about our commitment to equity in AI: https://m.ebsco.is/uhFhM #AIEquity #AIResearch #LargeLanguageModels

Many Large Language Models (LLMs) excel in general knowledge but often struggle with detailed, domain-specific questions, leading to inaccuracies. To enhance research precision, LLMs need domain-specific data and expert vetting. Understanding culturally and linguistically diverse data is crucial for inclusivity. At EBSCO, we're committed to ensuring equitable information in our AI responses. Learn more about our commitment to equity in AI: https://m.ebsco.is/uhFhM #AIEquity #AIResearch #LargeLanguageModels

Read about ways for Enhancing Research Precision with Large Language Models leading to better AI responses.

As #GenAI progresses, and as large language models (LLMs) take center stage in AI, regulators are stepping up their efforts to address key issues. Bias, copyright concerns, and worries about AI's broader impact will shape the priorities of researchers, policymakers, and the public for years to come, and while a lot is being looked into, there's still a lot more to be done. #AI is here to stay and it is not going anywhere. However, tackling these challenges head-on is essential if we want to ensure that AI's growth is both responsible and beneficial for society, and this will require lots of collaborations to make AI a positive force for everyone. #AI #LLMs #Regulation #AIethics #TechPolicy #Innovation #FutureOfAI #AIImpact #AIGovernance #Techfuture #ResponsibleAI

?????????? ?????? ?????????? ????????: ?? ???????????????? ?????? ???? ???????????????????? Generative AI is transforming industries, but understanding its technical and ethical complexities can be challenging. That’s why we’ve crafted a glossary of 42 essential GenAI terms, including: ? Large Language Models (LLMs) ? Prompt Engineering ? AI Ethics & Governance ...and more. ?????? ?????? ???????? ????: ?? Simplify key AI concepts, from basics to advanced. ?? Address challenges like AI bias, data privacy, and hallucinations. ?? Build confidence to implement AI responsibly and drive innovation. ?? Download the glossary from our community today and level up your GenAI knowledge. ?? What AI term puzzles you the most? Drop it in the comments, and let’s decode it together! Tag a friend or colleague who should see this, and share to spread the insights! #GenerativeAI #AILeadership #AIResources #Innovation #Learning #DecodingDataScience

The rise of large language models (LLMs) in business has been both celebrated and scrutinized, as their capacity for invention often borders on the problematic. ?? Enter Cleanlab's Trustworthy Language Model (TLM), a novel tool aimed at discerning the reliability of AI-generated responses. ?? By assigning a trustworthiness score to each output, TLM acts as a crucial filter in high-stakes environments where accuracy is paramount. Developed by a team from MIT, this tool evaluates outputs by comparing responses from multiple models and testing variations of the same query to assess consistency and reliability. ?? This innovation could potentially transform how businesses engage with AI, providing a metric of trust and reducing the risk of costly errors due to AI "hallucinations." As companies like Berkeley Research Group start integrating TLM to streamline complex document analysis tasks, the promise of this technology becomes evident. ? Could this new AI tool be the end of misinformation, or are we merely teaching machines how to lie better? Read the full story on MIT Technology Review: https://lnkd.in/gEkAvMhw #GenAI #Hallucinations #Trust #Misinformation #Media ---- ?? ???? ?????? ?????????????? ???????? ??????????????, ???? ???????? ???? ???????????????? ???? ?????? ?????? ?????? ?? ???????????? ???????????????????? ???????????? ???????? ?????????????????????? ???????????????????? - you can have real-time insights, recommendations (a lot more than I share here) and conversations with my digital twin via text, audio or video in 28 languages! Join >5000 users who went before and go to app.thedigitalspeaker.com to sign up and take our connection to the next level! ??

Researchers have developed a tamperproof method for open-source large language models, ensuring they can't be misused for harmful activities like bomb-making instructions. In my experience, managing technology responsibly is crucial. This innovation can help maintain the balance between accessibility and safety, something I've always advocated for. Have you ever encountered tech that's both open and safe? Key takeaways: 1. How do you think this method will impact the future of open-source projects? 2. What are other ways we can ensure technology is used responsibly? Let's discuss how we can leverage such advancements for a safer digital landscape! #openSource #AI #TechSafety #Innovation #FutureTech