Tool learning enables the Large Language Models (LLMs) to interact with the external environment by invoking tools, enriching the accuracy and capability scope of LLMs. However, previous works predominantly focus on improving model's tool-utilizing accuracy and the ability to generalize to new, unseen tools, excessively forcing LLMs to adjust specific tool-invoking pattern without considering the harm to model's general performance. This deviates from the actual applications and original intention of integrating tools to enhance model. To tackle this problem, we dissect the capability trade-offs by examining the hidden representation changes and the gradient-based importance score of model's components. Based on the analysis result, we propose a Component Importance-based Tool-utilizing ability Injection method (CITI). According to the gradient-based importance score of different components, it alleviates the capability conflicts caused by fine-tuning process by applying distinct training strategies to different components. CITI applies Mixture-Of-LoRA (MOLoRA) for important components. Meanwhile, it fine-tunes the parameters of few components deemed less important in the backbone of the LLM, while keeping other parameters frozen. CITI can effectively enhance the model's tool-utilizing capability without excessively compromising its general performance. Experimental results demonstrate that our approach achieves outstanding performance across a range of evaluation metrics.

Froggett to support accelerating growth and continued international expansion. Froggett was formerly Head of Global Infrastructure Defense, CISO Cybersecurity Services at Citi. In his previous role, Carl was responsible for delivering integrated risk reduction capabilities and services aligned to the architectural, business, and CISO priorities across Citi's devices and networks in 100 countries. Since 1998, he has held various regional and global roles for Citi, covering all aspects of architecture, engineering, global operations, as well as running critical enterprise cyber services for Citi's cybersecurity functions. "Carl has a proven track record in building teams, systems architecture, large scale enterprise software implementation, as well as aligning processes and tools with business requirements and I believe he will play a key role in helping our company grow and scale," said Guy Caspi, CEO of Deep Instinct.

ClickZ spoke with Gonca Latif-Schmitt, Managing Director at Citi, to discuss their technologically-savvy approach to improving customer experience (CX) for their business card holders and clients. Citi engaged work with Interactions for their Citi Commercial Card initiative. Interactions is a provider of intelligent virtual assistants (IVAs) focused on helping companies improve CX via the use of AI chatbot technology. They offers several products that fall within the customer experience space, including an IVA tool utilized by leading brands such as Hyatt, Constant Contact, and Shutterfly. As a credit card business within Citi's institutional group, the commercial card team is focused on making the entire client experience frictionless and more digital.

AI has already helped thousands of businesses thrive. Even when it's not used comprehensively within the organization, it's able to streamline certain processes that make the rest of the moving parts run efficiently. I know we're talking vague here, but that's only because AI has so many applications. In this article, we'll talk about the five reasons why you should use it in your business. It should help you understand its uses and how it can greatly increase your revenue.

Manish Kohli, Global Head of Payments and Receivables, Citi's Treasury and Trade Solutions (Citi TTS), has stated that this strategic partnership is a good example of their commitment to using new technologies to drive innovation. In reference to this partnership, Kohli said, "With the help of Feedzai's solution, we can scale rapidly in an effort to deliver value to our clients, allowing them to make payments securely, efficiently and without friction, across the globe." Citi may appear focused on providing risk management without slowing down their claims processing tech stack. In addition to the constant innovations of fraud detection and payment processing, cyber-attacks and other fraud methods are constantly improving. It is because of this that Citi's clients expect progressively faster and safer transactions.

Citigroup CEO Michael Corbat said tens of thousands of the bank's U.S. call center workers could be replaced by cost-cutting A.I. With 209,000 workers worldwide, Citi (c) is under pressure to rein in its costs. The fourth-largest U.S. bank, it spends $8 billion a year on technology, the Financial Times reports, but this is the most explicit the CEO has been about how that investment might affect jobs. "When you think of data, A.I., raw digitization of changing processes, we still have tens of thousands of people in call centers, and we know when we can digitize those processes we not only radically change or improve the customer experience, it costs less to provide," Corbat told the FT. While the most common customer questions are easy for A.I. to handle, Citi has no plans to get rid of humans in its call centers altogether.

Judging solely by headlines and quotes from CEOs, banks are in desperate need of engineers with experience working with artificial intelligence. J.P. Morgan recently made waves by poaching AI specialists from Google, Facebook and two leading research universities in the U.S. Goldman Sachs created an equal splash by hiring away a machine learning guru from Amazon to run its AI efforts. Still, there doesn't appear to be a dramatic need for rows and rows of AI engineers at big U.S. banks. Active job postings that require a background in artificial intelligence are far from overwhelming, though some of that could be due to the apparent difficulty of finding and hiring capable AI engineers. J.P. Morgan, for example, recently hosted an open recruiting event attended by its top AI minds in an attempt to meet and potentially lure talent away from big Silicon Valley tech companies.

ORLANDO, Fla.--(BUSINESS WIRE)--Gartner, Inc. has announced the winners of the 2018 Gartner Eye on Innovation Award for financial services in the Americas. The award recognizes innovative use of digital technology-enabled capabilities, products or services to highlight "best-in-class" financial industry initiatives launched within the past 12 months and to offer insight about developments in digital innovation. The finalists presented their case studies during Gartner Symposium/ITxpo, which is taking place here through Thursday, and BMO Bank of Montreal was selected as the regional 2018 Gartner Eye on Innovation Award Americas winner by the attendees at the event. Allstate and Liberty Mutual Insurance were also named as award recipients. BMO Bank of Montreal -- BMO Bank of Montreal created an entirely new way to pay bills by applying machine learning capabilities to recognize the biller, payee, account number, amount and due date across a range of corporations and statement formats.

Robots could replace as many as 10,000 human jobs at the banking giant Citi within five years, its president told the Financial Times. "We've got 20,000 operational roles. Over the next five years could you make it 10,000?" Jamie Forese, the president of Citi and chief executive of the bank's institutional clients group, told the Financial Times in an interview . Forese said the most likely areas for automation were in technology and operations, which accounts for almost 40% of the headcount at Citi's investment-banking arm.

Citi has partnered with HighRadius, a company that participated in its 2017 Fintech Challenge, to develop a sophisticated reconciliation for receivables using artificial intelligence (AI) and Machine Learning (ML). Reconciling payments received against invoices has been around for a while -- probably as long as companies received payments for good and services. It's also been the target of some massive investments in technology to develop standards and automate the processing in search of straight through processing by computers without human intervention. You'd think banks and corporations would have figured it out by now. But the challenge has been growing more intense, said Manish Kohli, global head of payments and receivables at Citi's Treasury and Trade Solutions.