NOTEWORTHY NEWS: OUR TAKE ON THE LATEST AI/GENAI NEWS
Noteworthy AI News for Agencies - Eighth Edition
By Jeremy Lockhorn , SVP, Creative Technologies & Innovation, 4A's
Please note that Noteworthy News will not be published next week (July 5) as the 4A’s takes time off to celebrate Independence Day. We’ll be back at it the following week with a double-dose of AI news for agencies.
THE BIG STOR(IES)
NEW 4A’S RESOURCES
In case you missed it, we released a couple of members-only reports this week aimed at helping agencies understand the current state of GenAI adoption and plot a course to agency-wide implementation. More details below:
???? The State Of Generative AI Inside US Agencies, 2024?
Based on a recent survey of 4A's members, this piece from Forrester and the 4A’s dives deep into insights on adoption, objectives, use cases, benefits and barriers. Discover what other agencies are doing and learn how you can leverage these findings for your agency's GenAI adoption journey.
?? DOWNLOAD THE REPORT ??? https://buff.ly/4ceSGcK ?
?? READ THE STORY ON MARKETINGDIVE ?? https://buff.ly/3VUxKSt?
?? GenAI Blueprint: A Comprehensive Members-Only Guide to Agency GenAI Implementation?
Whether your agency is just beginning to explore generative AI or already integrating it into your workflows, this 4A’s guide provides valuable insights and practical strategies to support agencies in driving business growth, innovation, and delivering unparalleled value for clients.
?? CHAPTERS 1-3 ARE OUT NOW! ?? ?https://buff.ly/3xBNDnB?
THE PROMISE OF SYNTHETIC DATA
There have been rumblings over the last few months that the big LLM players are running out of publicly available data on which to train their models. Synthetic data - or data generated by AI models rather than humans - is one potential answer to this challenge. This type of data has been shown to create models that perform comparably to those trained on human curated data, and it can dramatically decrease time and costs required for model training. NVIDIA recently released its Nemotron-4 340B model, which can generate large amounts of synthetic data that rival traditional methods for training LLMs. A story from The Information speculates that synthetic data could be part of the reason OpenAI and Anthropic perform better than other models against relatively new "hard prompts" introduced by LMSYS.? As with many emerging technologies that show great promise, synthetic data for training seems to carry significant risks that demand consideration as well. Chief among them:
领英推荐
As we embrace these technologies, we must tread carefully, ensuring that efficiency doesn't come at the expense of ethical integrity, reliability and human creativity.?
OTHER INTERESTING AI NEWS FOR AGENCIES:
RECENT AI CAMPAIGN EXAMPLES:
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#AI #GenAI #ArtificialIntelligence #EmergingTechnologies