Deepgram’s Post

If you're at School Transportation News Expo in Reno today, make sure you stop by to learn more about Geotab Telematics from our partners at Tyler Technologies in booth 501, right near the main entrance. While you're there, don't forget to #vote for Geotab ACE for BEST SOFTWARE OF THE YEAR! Stop by Tyler's booth 501 on the show floor for a demonstration with our solution engineer, Shivam Patel. Geotab ACE is a fully secure Generative AI tool that helps you analyze your fleet data with simple questions, not complex reporting. #AI #STNexpo https://lnkd.in/gy2aB7ad

Want to take control of your AI deployment without relying on costly APIs? Save the date! 📅 HatchWorks invites you to our Gen-DD Lab Live Event on March 7. Learn from David Berrio, Senior AI/ML Engineer, how to deploy an LLM on your machine, ensuring flexibility and reducing dependency on external services. 🔗 https://hubs.la/Q02mhc3R0 Don’t miss out, register today! #HatchWorks #GenDD #FreeWebinar #AIEngineering #LocalDeployment

AI in Production 2024 will take place on July 19, 2024 #AI #ArtificialIntelligence

Preview of what one cohort of students are building in our AI for Developer Productivity course. (ai.bloomtech.com) Really harnessing AI as an engineer looks like this: Multi-agentic + supervised systems with routing to self-improving/tuned models. Chain together and magic happens.

#TBT to Marvik's presentation at the #AISummit by Databricks. "Generative AI at Scale Using GAN and Stable Diffusion" #GenAI is under the spotlight with its diverse applications, but deploying these models at scale presents many considerations. This presentation will explore various architectures and discuss optimization hacks for the sophisticated data pipelines essential to generative AI. https://lnkd.in/dC6AGNgx

Generative Next-Gen AI in 2024. me: refactors 8 classes to optimize async event processing and introduces new event type to handle Github copilot generates commit message: "Updated global constants"

All stars ✨ #AI panel at World Economic Forum #Davos this week, including among others Yann LeCun, Andrew Ng, Kai-Fu Lee. Here are some highlights i picked up: 1. Various views amongst the panelists, but is seems we have a consensus that the rate of progress in AI will stay similar or even increase in the years to come 2. #LLMs architecture will not lead straight to #AGI (e.g. just by scaling compute power). Still, the impact of the currently available models is generating lots of value that will still be harvested by various players 3. To move towards AGI fundamental breakthroughs on the architecture of AI are still needed (e.g. we still are far away from understanding how humans learn) 4. We should have foundational models that are #opensource to ensure safety, and accessibility of AI. This is at risk due to powerful forces that amongst others might take the form of premature over regulation -> hint Europe! 🙏 5. We should not forget that the latest innovations in AI are built on decades of academic research and #opensource tools developed by so many people across the globe. It goes way beyond just Microsoft and OpenAI.  Much more in the attached video if you can spare 45 minutes ;) Highly recommended https://lnkd.in/d5SAMsDp

We often hear about AI's potential to transform our work, but we don't often see it in action, especially in SMBs. I recently had a great conversation and learned a lot from Guido Maciocci. He is building complexity and layers into the "off-shelve" AI tool that will change how AEC professionals learn/consume building codes and standards. An example of how we can innovate technology and build a "moat" around it. I'm eagerly looking forward to beta testing it and seeing firsthand how it revolutionises our approach to building codes! #AIInnovation #AECTech #DigitalTransformation #4c4545

https://lnkd.in/dwyB2wyv The year 2024 is poised to be a transformative one for artificial intelligence, with several groundbreaking AI mega projects on the horizon. These initiatives are set to redefine industries and potentially alter the very fabric of our existence. Among the most anticipated projects are advancements in generative AI tools, which have seen mass adoption and are reshaping entire industries. Companies like Google, Meta, and Microsoft are at the forefront, integrating AI into everyday applications, from search engines to office software, promising to revolutionize how we interact with digital content and productivity tools. In the realm of construction, AI is fueling the development of hyperloops and new transportation technologies that promise to change how we travel. The integration of AI in photo editing is another area of rapid advancement, with new capabilities allowing for unprecedented levels of image manipulation, such as altering facial expressions and lighting conditions. AI is also expected to play a pivotal role in addressing global challenges, with projects aimed at sustainability and efficient resource management. For those interested in the educational aspect, AI is becoming increasingly prominent in learning and development programs, with institutions offering specialized courses to keep pace with the evolving technology landscape. As we delve deeper into 2024, the fusion of creativity and intellect in AI projects continues to push the boundaries of what's possible, making it an exciting time to witness the extraordinary feats of AI. For further exploration of the latest AI trends and projects, resources such as MIT Technology Review's "10 Breakthrough Technologies 2024" provide valuable insights. Additionally, platforms like Simplilearn offer a glimpse into the top machine learning projects for the year, while iCert Global discusses innovative AI project ideas.

I have always believed Edge computing is being slept on regarding efficient and sustainable AI. It is great to see that there are people like Tayo Adesanya who not only think so but are doing something to leverage it