Lars-Olof Allerhed’s Post

As generative AI technology expands and we see further enhancements into multimodality functionality, the need for creative thinkers and content creators will also expand. LLM’s need data in order to predict, analyze and summarize. Just like in a sales organization nothing happens until someone actually sells something, with generative AI nothing happens until somebody creates something.

A new generation of generative #AI models is coming. Developers are focused on optimizing and expanding their capabilities, including reducing bias and errors, enabling reasoning and planning, and addressing ethical challenges. Here's what to know. https://lnkd.in/eqse757q

Within a short period of time, businesses, academic institutions, and various creators are finding incredible applications for generative AI, and with each new version introduced, it seems its capacity to handle massive amounts of data increases. But this is where the future of generative AI is less clear. Debates exist regarding whether Small AI versus Big AI is the best direction for ongoing developments. #ai #bigai #companies #digital #digitaltransformation #futureproof #generativeai #google #meta #openai #smallai #technology

Harnessing the power of generative AI begins with effective search capabilities, as highlighted in a recent Fast Company article. The ability to leverage generative AI for enhanced search functionality can significantly transform how businesses access and utilize information, driving innovation and efficiency. As someone passionate about the potential of generative AI, I find this insight particularly valuable. By integrating generative AI into search processes, companies can unlock more relevant and comprehensive data insights. This not only streamlines decision-making but also fosters a more proactive approach to problem-solving and strategy development. For a deeper understanding of why search is the cornerstone of generative AI applications and how it can benefit your organization, I highly recommend reading the full article: https://lnkd.in/gwpNuYjD #GenerativeAI #AIinSearch #TechInnovation #TechSherpa #DataInsights #FutureOfAI #BusinessStrategy #AIIntegration

Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. McKinsey & Company's latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually. Read more to explore the economic potential of generative ai: https://lnkd.in/gbjbfM6n #generativeai #digitalproductivity #ai

As Generative AI becomes ubiquitous in the market research industry, those who understand how and when to effectively use it will see exponential success. Get the latest tips and tricks for using generative AI in your research straight from our AI experts: https://hubs.li/Q02q0S3Z0 #BeCurious #GenerativeAI #MarketResearch #ConsumerInsights #AITools #MarketingResearch #AI

🚨 Generative AI – Game-Changer or Hype Machine? Generative AI has dominated the headlines, but not all implementations have been smooth sailing. From chatbots going rogue to inflated expectations, some companies have faced serious setbacks. So where does this leave businesses eager to tap into AI's potential? Our latest blog dives deep into the challenges and realities of generative AI, shedding light on why it’s not a one-size-fits-all solution and how to approach AI trends with caution. We also explore what really drives value—hint: it’s about understanding your unique needs and operational readiness. Curious about where AI can actually make an impact for you? Check out the blog! 👇 https://bit.ly/3MXHUwu #Aicadium #AI #AIhype #GenerativeAI

Businesses constantly pursue innovative solutions to secure a #competitiveadvantage. One revolutionary technology that has gained a lot of attention recently is Generative #ArtificialIntelligence. As generative AI continues to evolve, it presents opportunities and challenges for businesses looking to adapt and leverage its transformative potential.    To harness the full potential of #GenerativeAI, businesses need to invest in #skilldevelopment and #training solutions. Our latest article will explore some of the best strategies for companies to integrate and leverage Generative AI effectively for maximum impact.    Read the full article: https://ow.ly/hl1450Recbo #AI #Elev8 #predictiveAI #businesstransformation

The phrase "add speed bumps" in the context of improving the accuracy of generative AI suggests implementing measures that slow down the output process, allowing for more rigorous evaluation and correction of generated content. This could involve introducing checkpoints where the AI’s output is reviewed for quality, bias, and factual accuracy before proceeding. By taking more time to verify information and refine responses, the system can enhance its reliability and reduce the likelihood of generating misleading or incorrect information. Additionally, these "speed bumps" could help developers gather feedback and make necessary adjustments to algorithms, fostering continuous improvement in the system's performance.