Tag: Generative AI

Technology

What’s Next for Generative AI?

Dec 4, 2024 by Mansi Praharaj 0 Comments #Context Window, #Generative AI, #Hector Azpurua, #IEEE, #Lin

Generative AI took the world by storm in recent years after several chatbots, like ChatGPT, entered the public domain. The chatbots generated human-like text with a speed that seemed almost magical – writing sonnets in the style of Shakespeare, translating texts between numerous languages, churning out computer code and so much more.

Businesses and business pundits saw the potential benefits immediately. However recent months have seen small but growing doubts about generative AI. Detractors say generative AI’s capabilities have been overhyped. Hallucinations – false statements that generative AI models can make – decrease its usefulness, and many businesses have yet to find an ideal strategy to use these tools. And though ChatGPT is one of the fastest-growing applications of all time, the proportion of people who say they use it regularly remains fairly rare.

In “The Impact of Technology in 2025 and Beyond: an IEEE Global Study,” a recent survey of global technology leaders, 91 percent of respondents agreed that “in 2025 there will be a generative AI reckoning as public fascination and perception shift into a greater understanding of and expectations for what the technology can and should do — in terms of accuracy of results, transparency around deepfakes and more.”

But the survey doesn’t anticipate a lasting stumbling block for generative AI. A sizeable majority (91%) also agreed that “generative AI innovation, exploration and adoption will continue at lightning speed in 2025.”

So, what’s in store for generative AI in 2025? What’s the product roadmap, and what impact will they have on how we work and live?

More Multimodal Capabilities

IEEE Senior Member Daozhuang Lin expects generative AI models to make it easier to provide images and videos from short text snippets in the coming years. Text-to-image, text-to-video and speech synthesis will improve, and models will achieve better contextual understanding across diverse inputs.

“The first step is the deep integration of multi-modal to create more complex, detailed, accurate and self-consistent content for consumers and even professional content creators,” Lin said.

Cleaning Up Accuracy and Bias

Concerns over hallucinations, accuracy and bias have also slowed the adoption of generative AI models. Bias may creep in when the models are trained on biased data. Some image-generating models may show a preference for people of a certain race.

“The developers of the model need to focus on how to remove the bias and ethical issues generated by AI in the process of consumer data training,” Lin said. “It’s important to guide users to more universal and long-lasting values and to guide the model to become more ‘kind’.”

Improved Context Window

One limitation generative AI model face is the amount of information they can process at one time in a prompt. This is referred to as the context window or context size. Imagine, for example, that you need to input a very long prompt – or description – in an attempt to generate an image. At some point, the generative AI model will not be able to process the entire prompt. The output will only reflect a portion of the prompt, omitting potentially important information.

In another scenario, you may need to have a conversation with the model about a long document. As the conversation progresses, the model may forget earlier parts of the conversation.

Improving the context window would allow generative AI models to handle more complex tasks and improve the coherence of their responses.

“The limit of what we can do with generative AI has yet to be reached; we are not at the plateau of this technology,” said Hector Azpurua, an IEEE Graduate Student Member.

 

 

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Technology

AVEVA previews industrial AI assistant in collaboration with Microsoft at Hannover Messe

May 21, 2024 by Sujata Muguda 0 Comments #a global leader in industrial software, #AI assistant in collaboration with Microsoft, #AVEVA, #AVEVA’s, #Generative AI, #Hannover Messe, #industrial organizations, #Jim Chappell, #LLM, #Matt Kerner, #Microsoft Azure OpenAI Service, #Rob McGreevy

India, 21st May 2024 – AVEVA, a global leader in industrial software, driving digital transformation and sustainability, reinforced collaboration with Microsoft with its industrial AI assistant.

The industrial AI assistant, running on Microsoft Azure OpenAI Service, is a virtual subject matter expert driving the industry 5.0 revolution. It represents a paradigm shift in how industrial organizations answer complex questions in mission-critical environments. The time between curiosity and insight is seconds. AVEVA’s AI assistant acts as a virtual expert, simplifying the vast task of extracting insights from scattered data sets to answer complex, multi-stage questions. Industrial teams can take advantage of large language models (LLM) and generative AI through an intuitive interface that leverages AVEVA’s 50+ years of expertise in industrial software and analytics. Security and trust are built in from the ground up. Analytic quality is enhanced by strict engineering prompts and cross-critique methodologies to ensure that the AI assistant’s answers are robust and transparent, referencing sources and citations. To protect data security and ownership, proprietary data is not blended with the LLM or any other third-party sources.

Rob McGreevy, CPO, AVEVA, said: “When designing AI for industrial settings, we are conscious of the huge responsibility that industries bear to deliver safe, secure, and sustainable processes and results. That is why, as we infuse AI capabilities across our portfolio, we always enrich it with domain-specific expertise that recognizes the requirements and rigors associated with industrial settings. Our industrial AI assistant draws on integrated data combined with the highest levels of security and expertise so that customers can confidently interrogate their information in real time. All of this is available and scalable with Microsoft through our CONNECT intelligence platform.”

Together, AVEVA and Microsoft are accelerating the delivery of industrial intelligence, empowering customers to utilize the power of innovation. With Microsoft’s solutions and AVEVA’s deep industry expertise and software, businesses can capitalize on the power of technology to become more agile, resilient and environmentally sustainable. AVEVA is actively co-innovating with Microsoft. It is among the first industrial independent software vendors to commit to interoperability with Microsoft Fabric and CONNECT (formerly AVEVA Connect).

Sharing more of the detail of the product capabilities, Jim Chappell, Head of AI & Advanced Analytics said: “AVEVA has combined LLM, generative AI (GenAI), and our own patent-pending AI technology to analyze customer data, find issues, and help solve problems. By leveraging the customer’s industrial data and a LLM with the power of AVEVA’s AI capabilities, the user can ask our industrial AI assistant natural language questions with minimal setup required. The user can also ask objective-driven questions which means more complex, multi-step requests can be completed in one single action.”

Matt Kerner, CVP, Microsoft said “Bringing together the AI and cloud capabilities of Microsoft Azure with AVEVA’s expertise in industrial AI has the power to transform how industries can operate at scale. With the intuitive AI assistant interface, it’s easier for operators and executives to benefit from insights, interrogate results and optimize performance.”

Education

How 3 Educators Are Using Generative AI

May 16, 2024 by Sujata Muguda 0 Comments #AI, #EDUCATIONAL TOOLS, #Educators, #FOUNDATIONAL COURSES, #Generative AI, #Gloria Washington, #HALLUCINATIONS – FACTS, #MATERIAL, #PLAYING FIELD, #Poonam Chaudhary, #student, #Suélia Fleury

When generative AI tools first entered the public sphere in late 2022, many schools and educators gave them icy receptions. Students were passing off AI-generated essays as their own work. And it was very hard to tell the difference.

But relations between educators and generative AI tools have thawed as educators have taken steps to incorporate generative AI into their lessons and allow students to use generative AI tools in class work. Those steps, however, are taken with caution. On one hand, teachers say they want to acknowledge that generative AI will likely be used extensively in professional life. On the other hand, they also need to design coursework that helps students demonstrate their mastery of the subject using their intellect, without the aid of tools.

Here, three educators from different parts of the world – IEEE Senior Member Suélia Fleury from Brazil, IEEE Member Gloria Washington from the U.S., and IEEE Member Poonam Chaudhary from India – discuss how they use AI in the classroom.

SOME SEE GENERATIVE AI AS INEVITABLE

“The use of artificial intelligence is inevitable in educational teaching,” said Fleury. “I have not yet incorporated the application of AI into teaching and lesson plans, but I do not prohibit its use, as I believe it is necessary to address this integration.”

USING GENERATIVE AI REQUIRES DISCLOSURE

“Universities now allow students to use generative AI if they cite it in the homework and assignments they turn in,” Washington said.

IT MAY NOT BE APPROPRIATE FOR FOUNDATIONAL COURSES

“Some courses like ‘introduction to programming’ do not allow first-year students to use tools to generate code,” Washington said. “This is because they are dependent on learning the basics before use of these tools.”

CAN GENERATIVE AI LEVEL THE PLAYING FIELD?

“Generative AI offers students a way to validate their skills, thought processes and knowledge, while simultaneously automating tasks that may not align with their strengths,” Chaudhary said. “Not all students possess every skill set. This diversity can relieve the pressure of achieving mastery in all areas.”

TEACHERS DEFINITELY SEE VALUE IN HELPING THEM TEACH

“The thought of AI in education takes me to a future where it helps me create on-the-fly frequently asked questions, gathers materials that learners with different styles can utilize to practice their skills and allows students ways to interactively verify the theory that underlines topics and concepts,” Washington said.

HOW DO HALLUCINATIONS – FACTS AN AI MODEL MAKES UP – IMPACT THE USEFULNESS OF AI?

“If a person requests [from AI] a brief description of a particular term without having grasped the topic fully, they may end up repeating incorrect and disjointed information generated by the AI,” said Fleury.

VERIFICATION AND VALIDATION ARE STRONG EDUCATIONAL TOOLS

“Teachers and professors are using generative AI to help students teach applied theory,” Washington said. “Essentially, they are starting with a solution or output from the generative AI and asking students to verify the solution via the principles and techniques in class. They have to decide whether the output is valid or not. This is from the standpoint of programming classes, data science techniques and user interface design techniques.”

IF A STUDENT USES AI, CAN WE SAY THAT THE WORK DOES OR DOES NOT REFLECT THEIR MASTERY OF THE MATERIAL?

“The work submitted by students using chatbots can obscure the individual capabilities of each student,” said Chaudhary. “By relying heavily on these tools, students might not engage in critical thinking or explore beyond the information provided by the AI. This reliance on chatbots without validating the information can lead to a superficial understanding of the material.”

 

Disclaimer: The views and opinions expressed in this article are solely those of the expert(s) and do not necessarily reflect the official policy or position of any organization, employer, or individual mentioned. Any content provided in this article is for informational purposes only and should not be construed as legal, financial, or professional advice.

News

How 3 Educators Are Using Generative AI

May 15, 2024 by Sujata Muguda 0 Comments #Chaudhary., #Educators, #Fleury, #Generative AI, #Washington

When generative AI tools first entered the public sphere in late 2022, many schools and educators gave them icy receptions. Students were passing off AI-generated essays as their own work. And it was very hard to tell the difference.

But relations between educators and generative AI tools have thawed as educators have taken steps to incorporate generative AI into their lessons and allow students to use generative AI tools in class work. Those steps, however, are taken with caution. On one hand, teachers say they want to acknowledge that generative AI will likely be used extensively in professional life. On the other hand, they also need to design coursework that helps students demonstrate their mastery of the subject using their intellect, without the aid of tools.

Here, three educators from different parts of the world – IEEE Senior Member Suélia Fleury from Brazil, IEEE Member Gloria Washington from the U.S., and IEEE Member Poonam Chaudhary from India – discuss how they use AI in the classroom.

SOME SEE GENERATIVE AI AS INEVITABLE

“The use of artificial intelligence is inevitable in educational teaching,” said Fleury. “I have not yet incorporated the application of AI into teaching and lesson plans, but I do not prohibit its use, as I believe it is necessary to address this integration.”

USING GENERATIVE AI REQUIRES DISCLOSURE

“Universities now allow students to use generative AI if they cite it in the homework and assignments they turn in,” Washington said.

IT MAY NOT BE APPROPRIATE FOR FOUNDATIONAL COURSES

“Some courses like ‘introduction to programming’ do not allow first-year students to use tools to generate code,” Washington said. “This is because they are dependent on learning the basics before use of these tools.”

CAN GENERATIVE AI LEVEL THE PLAYING FIELD?

“Generative AI offers students a way to validate their skills, thought processes and knowledge, while simultaneously automating tasks that may not align with their strengths,” Chaudhary said. “Not all students possess every skill set. This diversity can relieve the pressure of achieving mastery in all areas.”

TEACHERS DEFINITELY SEE VALUE IN HELPING THEM TEACH

“The thought of AI in education takes me to a future where it helps me create on-the-fly frequently asked questions, gathers materials that learners with different styles can utilize to practice their skills and allows students ways to interactively verify the theory that underlines topics and concepts,” Washington said.

HOW DO HALLUCINATIONS – FACTS AN AI MODEL MAKES UP – IMPACT THE USEFULNESS OF AI?

“If a person requests [from AI] a brief description of a particular term without having grasped the topic fully, they may end up repeating incorrect and disjointed information generated by the AI,” said Fleury.

VERIFICATION AND VALIDATION ARE STRONG EDUCATIONAL TOOLS

“Teachers and professors are using generative AI to help students teach applied theory,” Washington said. “Essentially, they are starting with a solution or output from the generative AI and asking students to verify the solution via the principles and techniques in class. They have to decide whether the output is valid or not. This is from the standpoint of programming classes, data science techniques and user interface design techniques.”

IF A STUDENT USES AI, CAN WE SAY THAT THE WORK DOES OR DOES NOT REFLECT THEIR MASTERY OF THE MATERIAL?

“The work submitted by students using chatbots can obscure the individual capabilities of each student,” said Chaudhary. “By relying heavily on these tools, students might not engage in critical thinking or explore beyond the information provided by the AI. This reliance on chatbots without validating the information can lead to a superficial understanding of the material.”

News

UST to Train Over 25,000 Employees in Generative AI

May 15, 2024 by Sujata Muguda 0 Comments #Dr. Adnan Masood, #Generative AI, #Sunil Balakrishnan, #UST

Bengaluru, 15 May 2024 – UST, a leading digital transformation solutions company, has launched a groundbreaking initiative to train more than 25,000 employees globally in Generative AI (GenAI) and provide opportunities for career advancement. This ambitious program builds on UST’s long history of strengthening artificial intelligence (AI) capabilities. It underscores its commitment to comprehensive workforce training and upskilling, keeping its talented personnel future-ready and always at the cutting edge of technological innovation.

The AI training program, which will upskill more than 80% employees, exemplifies UST’s commitment to leveraging its considerable knowledge and expertise to maintain its leadership position in this rapidly evolving field. The program comes just months after the unveiling of UST AlphaAI, which consolidates the company’s AI offerings to enhance business agility, streamline operations, and accelerate digital transformation journeys.

UST will offer a range of GenAI training programs that are specifically tailored to its employees and their different roles and responsibilities, improving efficiency while helping each employee reach their own unique potential.

The comprehensive training program will build upon insights gained through UST’s rich history of collaboration and partnership with distinguished AI researchers from renowned academic institutions such as the MIT Computer Science & Artificial Intelligence Laboratory and the Stanford Artificial Intelligence Laboratory. This legacy of close collaboration with leading researchers will help UST expand on its culture of continuous learning by bringing the latest academic breakthroughs to its workforce.

“Our comprehensive GenAI training initiative will set a new industry standard and bring over 25,000 employees up to speed on everything from foundational GenAI concepts to cutting-edge applications. Adaptable and customizable for each participant, the flexible training program provides hands-on experience with industry-leading tools and platforms like GitHub Copilot, setting our employees up for future success by ensuring that they can apply GenAI capabilities across diverse domains, said Sunil Balakrishnan, Chief Values Officer and Global Head – Development Center Operations, UST.

“At UST, we recognize that the key to staying competitive in today’s fast-paced digital landscape lies in the continuous upskilling of our workforce. As GenAI continues to revolutionize industries and transform business operations, we remain dedicated to equipping our employees with the tools and knowledge they need to leverage these cutting-edge technologies effectively,” said Dr. Adnan Masood, Chief AI Architect, UST.

This pioneering GenAI training initiative exemplifies UST’s commitment to fostering a dynamic, future-ready workforce that remains at the forefront of GenAI advancements. By further augmenting the talents of UST employees, the training program will drive innovation and create a meaningful impact for clients and partners alike.