Industry 5.0 will Bridge #Automation to Human-Machine Collaboration
by @antgrasso @Medium Read more: https://
buff.ly/3TyWgHM #ArtificialIntelligence #MI #MachineLearning #Tech #Technology cc: @pascal_bornet @yvesmulkers @kuriharan
ENTERPRISE AI
-
Industry 5.0 Bridges Automation and Human-Machine Collaboration
By
–
-
AI Agents: Building and Hosting LLM Applications at Scale
By
–
#AI Agents – Build and Host LLM Apps At Scale
by @abacusai @nandishtella Read more: https://
buff.ly/3R3L83l #BigData #MachineLearning #ArtificialIntelligence #ML #MI cc: @patrickgunz_ch @yvesmulkers @ravikikan -
Optimizing LLM Systems Beyond Model Performance
By
–
So much of the conversation focuses on the performance of large language models. Often, you can see a much bigger lift in performance by optimizing other LLM system components.
— Snorkel AI (@SnorkelAI) 6 avril 2024
Learn more in our latest case study video: https://t.co/ldCCYmHqOI #enterpriseai #llm #llmsystems pic.twitter.com/OD2OzXQHGvSo much of the conversation focuses on the performance of large language models. Often, you can see a much bigger lift in performance by optimizing other LLM system components. Learn more in our latest case study video: https://
youtu.be/09PIGmG8XiY #enterpriseai #llm #llmsystems -
AI Impact on Edge Data, VRAN, and 5G Energy Efficiency
By
–
How AI Impacts Edge #Data, VRAN, and #5G Energy Efficiency
by @Ronald_vanLoon | Check out the full article: https://
bit.ly/3xcKdqZ #IntelAmbassador @Intel @IntelBusiness #MWC24 #AI #Sustainability #Automation #CloudComputing #Innovation #Networking Cc: @JimHarris | -
LLM Corporate Use Cases: Data Extraction Over Safety Trade-offs
By
–
I wonder about that: if you're building public-facing chatbots then sure, you want everything as safe as possible – but from what I've seen the most valuable corporate use-case for LLMs is structured data extraction, where any denials are just a huge nuisance
-
NVIDIA Google Cloud Generative AI Production Acceleration Conference
By
–
Join NVIDIA and @GoogleCloud experts at #GoogleCloudNext, taking place April 9-11 in Las Vegas, to discover practical insights that can accelerate the shift of #generativeAI applications from prototype to production on Google Cloud. https://
nvda.ws/3xmitQJ -
Fine-tuned Models at Scale: Real Results for Millions
By
–
Generally agree. That being said, we serve true fine-tuned models to millions of users @HyperWriteAI
, and the results have been amazing Makes sense when you’re at scale -
AI Task Analysis Automates Job Impact Assessment at Scale
By
–
The task-based analysis of how AI affects jobs is a powerful technique for creating business value. It was pioneered by Workhelix’s @erikbryn et al. Now, Workhelix has developed technology to apply this at scale, by automatically examining a company’s job descriptions,
-
Automating Management Writing: Executive Blind Spot on AI Impact
By
–
I have talked to a lot of executives buying Microsoft Copilot for their firms. Not one seems to have considered what it means to suddenly automate the vast majority of management writing without training or reconsidering the meaning of the work. From my book, Co-Intelligence:
-
AI Impact on Business: Industry Leaders Discuss Future Trends
By
–
Industry leaders from Snorkel AI, Honeywell and more delve into the impact of AI on business, areas it has yet to touch, and the trends we can expect in the future. Recorded in September 2021, this conversation remains relevant today.