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Living on the edge: How edge cases will determine the future of generative AI

Presented by iMerit.

In AI development, success or failure lies significantly in a data science team’s ability to handle edge cases, or those rare occurrences in how an ML model reacts to data that cause inconsistencies and interrupt the usability of an AI tool. This is especially crucial now as generative AI, now newly-democratized, takes center stage. Along with increased awareness comes new AI strategy demands from business leaders who now see it as both a competitive advantage and as a game changer.

Why Every Company Needs A Chief AI Officer

Artificial intelligence (AI) is no longer the future; it’s the everyday. We’ve become so accustomed to tapping into it for day-to-day tasks like searching the internet or choosing a movie to watch we barely even register that we’re using it.

Now, the advent of generative tools like OpenAI’s ChatGPT and Google’s Bard means that the power and transformative potential of AI is in the hands of every business, big or small.

Every day I work with businesses that are finding exciting new ways to put this technology to work. This can involve creating exciting new services, driving improved efficiency, or even disrupting entire industries.


Unveiling the pivotal role of a Chief AI Officer, this article delves into why businesses, regardless of size or industry, must embed AI in their core strategy.

Elon Musk Says One Of The Most Difficult Choices He Ever Had To Make Was When He Had ‘Just $30 Million Left’

Elon Musk, the richest man in the world, revealed that one of the toughest choices he’s had to make in his life was when he had “$30 million dollars left.”

Musk, CEO of Tesla Inc. and SpaceX, revealed that choosing which company to invest his last $30 million in was tough.

In a conversation with screenwriter, producer and director Jonathan Nolan during a SXSW interview titled “Elon Musk Answers Your Questions!”, Musk shared his insights on topics ranging from artificial intelligence (AI) to Mars and business. He delved into his early entrepreneurial years, which ultimately led to the creation of his groundbreaking companies, including how he made $180 million from the sale of PayPal.

Abandoned EVs Start to Pile Up in Cities Across China

A subsidy-fueled boom helped build China into an electric-car giant, but with an economic slowdown and hundreds of ride-hailing companies going bust, the country is facing a excess of unwanted batter-powered vehicles. Linda Lew reports on Bloomberg Television.
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Space Force extends Wallaroo’s contract for on-orbit AI applications

WASHINGTON — Artificial intelligence startup Wallaroo Labs won a $1.5 million contract from the U.S. Space Force to continue the development of machine learning models for edge computers in orbit.

The New York-based company, known as Wallaroo.ai, is partnered with New Mexico State University for the Small Business Technology Transfer Phase 2 contract, announced Aug. 15. The team last year won a Phase 1 award.

Wallaroo.ai created a software platform that helps businesses assess the performance of AI applications when deployed on edge computers.

Why downsizing large language models is the future of generative AI

Smaller language models can be based on a billion parameters or less—still pretty large, but much smaller than foundational LLMs like ChatGPT and Bard. They are pre-trained to understand vocabulary and human speech, so the incremental cost to customize them using corporate and industry-specific data is vastly lower. There are several options for these pre-trained LLMs that can be customized internally, including AI21 and Reka, as well as open source LLMs like Alpaca and Vicuna.

Smaller language models aren’t just more cost-efficient, they’re often far more accurate, because instead of training them on all publicly available data—the good and the bad—they are trained and optimized on carefully vetted data that addresses the exact use cases a business cares about.

That doesn’t mean they’re limited to internal corporate data. Smaller language models can incorporate third-party data about the economy, commodities pricing, the weather, or whatever data sets are needed, and combine them with their proprietary data sets. These data sources are widely available from data service providers who ensure the information is current, accurate, and clean.

Tesla says it will build new ‘1st of its kind’ data centers

Tesla says it will build new “1st of its kind” data centers. The automaker is hiring staff for it and snapping up some existing data centers.

The data center business is now massive with a market size of more than $250 billion.

Most of the biggest companies in the world, which are known to consumers for other products, are in it, like Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and Meta Platforms (Facebook).

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Peter’s entrepreneurial spirit, fascination with space travel and thirst to innovate are central to his core business philosophy and approach of “exponential thinking”. He advocates that technology and innovation progress exponentially and that disruptive technologies and entrepreneurial approaches can solve humanity’s most significant challenges and create a future of abundance.

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Driverless cars can now operate 24/7 in San Francisco

The permission was given by California Public Utilities Commission after a 3–1 vote.

In a massive win for driverless cars in the United States, California has permitted Cruise and Waymo to conduct full-fledged commercial passenger service using driverless vehicles in San Francisco.

The permission granted by the California Public Utilities Commission (CPUC) allows both firms to charge fees for journeys at any time of day. The approval comes after a disputed six-hour hearing on the matter that included residents voicing their concerns about autonomous vehicles (AVs) roaming their roads. Hearing all the arguments, the commission voted 3-to-1 to allow the two businesses to run their cars across San Francisco at any time of the day.

Author Annoyed to Find Amazon Selling AI-Generated Books Under Her Name

Author Jane Friedman was furious after discovering roughly a dozen books being sold on Amazon — with her name on them.

Fortunately, the seemingly AI-written books listed under her name ended up being taken down after she posted about the situation on Twitter and her own blog.

In an interview with The Guardian, Friedman recounted how the viral debacle began. A reader contacted her about the phony titles that mimicked her real work, which is ironically designed to help new authors navigate the publishing industry with titles like “The Business of Being a Writer” and “Publishing 101.”