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Small language models and edge computing Most of the attention this year and last has been on the big language models specifically on ChatGPT in its various permutations, as well as competitors like Anthropics Claude and Metas Llama models. And that will bring with it a completely new stack of tools and development processes.
When possible, Akamai avoids using tools that require agents, though there are areas, including cybersecurity, where theyre necessary and the benefits outweigh the risks. After the CrowdStrike incident, Akamai began reviewing all its vendor agreements to make sure the contracts had all the necessary protections in place.
And there are thousands of gen AI-related open source tools, on top of the models themselves. Agus Huerta, SVP of digital innovation and VP of technology at Globant, says hes seen better performance on code generation using Llama 3 than ChatGPT. Too many to choose from? But most companies stick with the big players.
That included setting up a governance framework, building an internal tool that was safe for employees to use, and developing a process for vetting gen AI embedded in third-party systems. After all, in order to get good content out of the tool, you have to ask questions correctly and think about what you put into it to get a solid answer.”
“After experimenting with both GitHub copilot and ChatGPT for over six months, I’m amazed by the pace at which generative AI is evolving,” says Yves Caseau, global CIO of Michelin. Instead of using the general version of ChatGPT, for example, they’ll use versions for specific industries, like financial services.
2023 has been a break-out year for generative AI technology, as tools such as ChatGPT graduated from lab curiosity to household name. Splunk adopts generative AI to help with observability Splunk already uses AI in its suite of tools to analyze machine-generated data.
And at the end of March, Italy banned ChatGPT entirely, before unbanning it again about a month later. AI vendormanagement Only the biggest companies are going to build or manage their own AI models, and even those will rely on vendors to provide most of the AI they use. But it’s a sign of what’s to come. “If
In mid-November, OpenAI’s board fired the CEO of the company, Sam Altman, the guy who put ChatGPT on the map and ushered in a new era of corporate AI deployments. An enterprise that bet its future on ChatGPT would be in serious trouble if the tool disappeared and all of OpenAI’s APIs suddenly stopped working.
Klarna has been leaning heavily into AI since ChatGPT was launched in November 2022, and the general feeling within the company is that gen AI can help nearly everybody in the organization become more effective, regardless of their skill level or role. The best way to avoid ruffling feathers is to establish clear guidelines early.
The guide is divided into five sections: Methodology Protections to start with IG1 enterprise profiles Tooling Costs “The safeguards in IG1 can be implemented for a relatively low cost and are a foundational and achievable set of security actions for even the smallest of enterprises,” the guide reads.
No review of 2023 would be complete without mentioning the explosion of AI into the public eye, like ChatGPT and Copilot. Result: Though the full scope remains unclear, the breach affected almost all Okta customers and highlighted the potential risks associated with third-party vendorsmanaging sensitive data.
Late last year in California, for instance, a ChatGPT-powered chatbot promised a Chevrolet of Watsonville customer a 2024 Chevy Taho for $1, adding “and that’s a legally binding offer — no takesies backsies.” Regulators, non-profits, vendor groups, and industry groups are just beginning to work on these issues.
Mitre had to create its own system, Clancy added, because most of the existing tools use vendor-managed cloud infrastructure for the AI inference part. Weve also found that agentic AI can work with tools developed for software engineers to dramatically increase the success rate of validating and compiling code, Clancy says.
If you aren’t using data analytics tools, you are going to make mistakes and leave money on the table for your organization.” But while stability and reliability are crucial, recent leaps in technology, such as the rapid evolution of ChatGPT, highlight the need to be forward-thinking. This doesn’t mean IT can drop the ball.
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