We couldn’t agree more Andy Plesser!
Graham Wilkinson from Interpublic’s KINESSO is mind-blowingly smart about marketing applications for artificial intelligence. Watch this space for the #BeetRetreatLA interview with Beet.TV contributor Rob Williams, who needs new cranial fluid. 🤯 Join us for our next Beet Retreat in San Juan, February 26-28 https://lnkd.in/e-kWHHzf
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Generative artificial intelligence is unleashing more creative power for advertisers, Sam Garfield, head of digital strategy for communications, media and travel at software maker Adobe, says in this interview at the Beet Retreat Santa Monica with Beet.TV contributor Rob Williams. 🌴 Special thanks to OpenX, Publica by IAS, Snowflake and Spotter for sponsoring our series. Visit Beet.TV for this video (https://lnkd.in/gV9YpSSQ) and much more! #beetretreat #beetretreatla Reserve your spot for the Beet Retreat San Juan, Feb. 26-28 🏖️ https://lnkd.in/e-kWHHzf
JSTOR’s interactive #ResearchTool helps users focus on what matters by surfacing key points and uncovering meaningful paths for #Research. It streamlines the process, making it easier to dive into relevant #AcademicResources without wasting time. Make the most of your research time—join the beta waitlist today: https://bit.ly/3ztK5oE Image: Odra Noel. Altmann’s Bioblasts – The Four Seasons (Autumn). Wellcome Trust.
"Brain rot" is Oxford Dictionary’s Word of the Year 2024. But what exactly is "brain rot"? Check out our 60-second explainer to find out more and how our relationship with digital media is evolving. #brainrot #explainer
Retrieval-Augmented Generation (RAG) is revolutionising how we ground LLMs in reliable data. But what about images like charts or photos? Multimodal RAG enables seamless integration of image sources into RAG workflows, offering more comprehensive answers. In this blog, Pamela Fox explains how to set up multimodal RAG, from integrating image embeddings to managing citations from visual sources. #AIInnovation #TechTrends #MachineLearning
Software Development Services provider | Tech team augmentation | Full-cycle implementation from "scratch" | Web & Mobile products development
Are you ready for the new case study? Take a look at our latest work on Reekolect - a platform that keeps family memories alive across generations. Here is the challenge: How do we create an intuitive interface for all ages and integrate advanced tech like AI photo restoration? Balancing simplicity with functionality was key. Curious how we made it happen? Check out the full case study to see how we brought Reekolect’s vision to life! 👇 https://lnkd.in/ef_QUa6H
Discover Pindrop's approach to combating deepfakes with advanced audio analysis. Our latest blog explores the Pikesville High School case, highlighting our data-driven methods that can help protect reputations and content authenticity for media companies. Learn how we help maintain integrity in media reporting with our precise deepfake detection tools. Read the full article here and see how our technology can protect your content. https://lnkd.in/gQE79ADU #DeepfakeDetection #MediaIntegrity #AudioAnalysis
Not a day goes by that we don't read about another scientific breakthrough enabled in large part by meaningful and responsible animal research. Despite the innovation, in vivo research largely relies on outdated processes. No more battling the in vivo data deluge. No more outdated #InVivo research processes. How? Climb, our cloud-native software. https://lnkd.in/erU46BhZ #ModernizeInVivo #ClimbOutofChaos
Are you ready for a new success story? Take a look at our latest work on Reekolect—a platform that keeps family memories alive across generations. Here is the challenge: How do we create an intuitive interface for all ages and integrate advanced tech like AI photo restoration? Balancing simplicity with functionality was key. Check out the case study to see how we brought Reekolect’s vision to life! 👉 Read our Reekolect case study here: https://lnkd.in/dMtx2J3E
the question the founder of autogen couldn’t answer. last night, at an event in google’s nyc office, I asked Chi Wang the founder of #AutoGen, something that’s been on my mind for a while: how can we deal with the randomness generated in each iteration when working with agentic flows to ensure consistent results? his response? they’re working on tools that could help mitigate this, but it’s clear this is a challenge that’s still evolving… so far, I’ve been experimenting with giving clear examples, managing temperature settings, routing agents more effectively, and fine-tuning prompts, but the “problem” persists…
