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AI’s accuracy heavily depends on the quality of info it receives. On this week's Framework podcast, Eric Ludwig and Chet Bennetts reveal the power of well-trained AI. “The more good information AI has, the better the response is,” they explain. Our guests delve into the nuances of prompting and the significant benefits of AI for financial advisors, from research to client interactions. 🎧 https://bit.ly/4cSbUFn Don’t miss out! Engage with us and share your experiences with AI in the financial sector. #AI #FinancialAdvisors #Framework

Tune in to the latest episode of our Thriving Business podcast to explore the Forbes top 5 business trends of 2024, highlighting a future where AI rules and soft skills triumph. Remember, AI is a tool, not a replacement. Listen now – you won't want to miss it! 🚀🔮🎧 [#Forbes #BusinessTrends #AI] https://lnkd.in/ez4bYfUF

New FY, New Goals: Deploy Trusted AI Solutions with VDML The start of the new financial year is the perfect time to deepen your understanding of #AI and its challenges. Dive into bias, error rates, and performance measurement in Machine Learning models with KJR’s ‘Let’s Talk VDML’ podcast. In this 6th episode, join KJR Founder Dr Kelvin Ross, BiTQ CEO David Smulders GAICD, and Chief Executive Data Strategy Craig Bryden as they discuss real-world examples of building trustworthy, efficient, and ethical LLM capabilities in government. Catch our latest episode:  ▶️ Watch here: https://lnkd.in/g3kMgmHZ 🎧 Listen on Spotify: https://lnkd.in/giyTeAbX AI doesn’t always get it right. KJR’s Validation Driven Machine Learning (VDML) helps manage risk, governance, and performance for confident AI deployment. #talkingtech #vdml #aiimplementation #machinelearning #assuringdigitalsuccess

🤐 "ALL UI IS JUST A FAILURE OF AI!" What are the gaps in today's iterations of AI tools - and what are the differences between the AI assistant of today and the AI agent of tomorrow? "All UI - all interfaces we see - are a failure of AI. If AI knew what you wanted, you wouldn't need these buttons and options..." - Hunter Powers In Episode 9 of The Data & AI Podcast, Hunter joins Harnham's Sam Agre speaks to Theodore Sumers (Anthropic) and Julianna Ianni (Proscia) about: 🤔 The current state of AI 👮♂️ How rumoured regulations could affect the space 🔮 The future of artificial intelligence 🎧 Listen now! https://lnkd.in/dRiPV29B #thedataandaipodcast #harnham

Forget the top-down approach! Our podcast discusses the rise of ground-up AI adoption, with individuals & organizations leading the way. #AI #Innovation https://smpl.is/8y9jl

🌟 AI models are on track to surpass human thinking. But with great power comes great responsibility. We must ensure responsible use amidst the challenges of misinformation and shifting dynamics.  Brace yourself; this technology will change everything; our latest The Hack podcast is out now! 🚀  https://lnkd.in/eY9xdT_A #Thinkcloud #Thehackpodcast #AI  #Technology  #ResponsibleUse

💡 Leaning into AI for trust and simplified answers can backfire when the source is unreliable. 🤖 Users turn to AI for trusted responses, but platforms like Reddit sometimes provide untrustworthy or troll-like answers. Testing other AI platforms, such as Perplexity AI, shows promise as they provide source information. 🧠 Tap ▶️ to understand the importance of reliable AI sources and how to navigate trust issues in AI responses! Watch the full podcast episode on YouTube for more insights! https://lnkd.in/eic2pvQj Listen here: https://lnkd.in/gWmDRH3h Subscribe to my YouTube Channel: https://lnkd.in/gGdP6bzc Kaushal Kakadia #AItrust #ReliableSources #AIDevelopment

FIRST-EVER PODCAST DROP ALERT! 📢 Catch the premiere at 6 PM PDT today! We are so excited for you to listen to BDD Evangelist, Matt Wynne, and our CEO, Mark Creamer talking about everything AI and Testing. The question is are you really ready for AI in Testing? Find out about AI's potential, the bias, the dilemma, and everything that will unfold in the future. The video link is in the comments! ✨ #TestAutomation #AI #SoftwareTesting #ConformIQ

𝗪𝗵𝗮𝘁’𝘀 𝗵𝗼𝗹𝗱𝗶𝗻𝗴 𝘂𝘀 𝗯𝗮𝗰𝗸 𝗳𝗿𝗼𝗺 𝘁𝗿𝘂𝗲 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗚𝗲𝗻𝗲𝗿𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗔𝗚𝗜)? I recently watched a fascinating podcast episode (https://lnkd.in/e4k2vMQd) that explored the limitations of large language models (LLMs) and what it will take to achieve AGI. The discussion highlighted that while LLMs are powerful in processing text, AGI requires integrating multiple data points—visual, auditory, and sensory information—into AI systems. As Yann LeCun has pointed out, complex reasoning and true understanding arise from this diverse data, not just from scaling up text-based models. 𝗕𝘂𝘁 𝗵𝗲𝗿𝗲’𝘀 𝘄𝗵𝘆 𝘁𝗼𝗱𝗮𝘆’𝘀 𝗟𝗟𝗠𝘀 𝗮𝗿𝗲 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗶𝗻𝗰𝗿𝗲𝗱𝗶𝗯𝗹𝗲: 𝗖𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗲𝗱 𝗘𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝗰𝗲: LLMs excel at specific tasks, especially when tailored to your needs using a custom GPT. This approach integrates your unique data, making the model more effective for your specific use case. Such as style of writing, company USPs and corporate identity. They might not "understand" in the human sense, but they deliver impressive results where it counts—like writing marketing copy that aligns perfectly with your brand’s voice. Instead of getting caught up in the AGI hype, let’s make the most of what LLMs can do right now. What do you think—does AI need to understand, or is it all about getting the job done? Are you already working with customized GPTs? Let me know your use cases in the comments.

AI vs. Human Intelligence: A powerful partnership for the future! Our podcast explores the benefits of human-AI collaboration. #AI #Partnership https://smpl.is/8y9j4