2024年通用人工智能研究白皮书.pdf
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1、Brought to you by Informa Tech Publication date:June 2023 Cover created by Bing Image Creator The Generative AI Revolution:Understanding,Innovating and Capitalizing Understanding,Innovating and Capitalizing 1 2023 Omdia.All rights reserved.Unauthorized reproduction prohibited.Contents Introduction:W
2、hat to Know,What to Watch,&What to Beware of in Generative AI 2 ECOSYSTEM INSIGHTS Regional/National strategies addressing the growth of Generative AI 13 The standard way to deal with non-standard technology 19 Generative AI:Whos running the race?23 Profiling a key player:The Microsoft view on Gener
3、ative AI 27 And just like that,generative AI reaches the enterprise marketplace 32 TECHNOLOGY INSIGHTS ChatGPT Artificial Intelligence:An Upcoming Cybersecurity Threat?36 What is the hardware requirement for Generative AI?39 Generative AI:The impact of AI-based autocoding on software development 42
4、VALUE-DRIVEN USE CASE INSIGHTS Generative AI in the consumer domain 46 How ChatGPT signals new productivity potential in the digital workplace 50 Will ChatGPT-powered email head to the contact center?53 Three ways generative AI can improve customer experiences 55 AI and ML-driven solutions to help C
5、SPs improve the customer experience 57 Appendix 60 Understanding,Innovating and Capitalizing 2 2023 Omdia.All rights reserved.Unauthorized reproduction prohibited.Introduction:What to Know,What to Watch,&What to Beware of in Generative AI Natalia Modjeska,Research Director,AI Youd be hard pressed to
6、 find technology topics of more import and interest so far during 2023 than AI in general and Generative AI(GAI)in particular.Interest and commentary on the topic,moreover,has come from multiple audiences,from the EUs AI Act to Microsofts$1 billion investment in OpenAI to the recent open letter from
7、 numerous technology leaders calling for a pause on AI research.While interest is high,so too is confusion about what lies ahead for the Generative AI ecosystem during this pivotal moment.To cut through the noise and connect the latest developments to a business and industry perspective,Omdia offers
8、 this primer looking at the promise,current reality,and potential pitfalls of Generative AI as it stands today.Among other areas covered,it discusses:The basics of Generative AI:what is is and where it came from The Generative AI ecosystem and its foundational technologies Opportunities and risks as
9、sociated with Generative AI Key market drivers and barriers Use cases to watch closely Expert recommendations on how to best approach this evolving market“Generative AI(GAI)is a relatively new branch of AI that focuses on the creation of novel artifacts ranging from text and images and video to comp
10、uter code,music,and more.”Understanding,Innovating and Capitalizing 3 2023 Omdia.All rights reserved.Unauthorized reproduction prohibited.Generative AI:What is it and where did it come from?GAI uses neural networks and deep learning models leveraging large sets of training data to generate novel out
11、puts.In lay terms,GAI creates original information,responses,or content(text,video,audio)based on what it learns from the vast data sets with which it is trained.Its a bit like if you were given a fill-in-the-blank question and used all of the previous information youd absorbed to predict the right
12、answer,except in this case GAI isnt limited to filling in a single blank but rather can respond to complex requests or tasks.Figure.The Generative AI Timeline Source:Omdia If GAI isnt new,what then is driving this latest wave of interest?First,as we explain in greater detail below,increased computin
13、g power,cloud capabilities,and interfaces that make the technology accessible to a wide variety of audiences have acted as key market catalysts.Second,disruptive start-ups like OpenAi(the developer behind ChatGPT)have moved the technology from research project to public tool.Third,large well-establi
14、shed companies like Microsoft,Google,Amazon,and Meta(to name only a few)are putting both their pocketbooks and reputations into additional research and development of use cases.Did you know?Explainability remains as much of an issue(and arguably more so)for GAI as for its predecessors:GAI returns an
15、swers and creates ostensibly new artefacts,but researchers are unsure of exactly what data points have informed the responses or exactly which patterns GAI uses and how during this process.Understanding,Innovating and Capitalizing 4 2023 Omdia.All rights reserved.Unauthorized reproduction prohibited
16、.However,we are currently only riding the first wave of this fundamental sea change.In these early days,unknowns abound.We expect 2023 to be a pivotal,defining year that will be filled with experimentation,innovation,but also confusion,missteps and false starts.To cite only a few prominent examples,
17、missteps range from Samsungs ChatGPT-caused security leak to Stability AIs decision to let artists“opt-out”(instead of opt-in)to having their art included in Stability AIs data training sets.For businesses looking to GAI within this radically changing and radically transformative environment,both gr
18、eat opportunities and risks await.Understanding current market drivers,the emerging ecosystem,along with potential use cases and risks is a necessary first step in successfully approaching this transformative moment.GAI growth factors and market drivers Todays explosion in GAI would not be possible
19、without a confluence of technical developments.Increased compute power and cloud capabilities,for instance,acted as necessary precursors for GAI model training at scale.Looking ahead,demand for accelerated computing is likely only to increase as appetites grow for more and bigger training models.We
20、forecast an expanding need for faster CPUs,more powerful GPUs,and extended cloud computing resources .Moreover,because of the potential economic and sustainability costs of this need for increased compute power,longer term the industry could see a shift toward alternative compute architectures,inclu
21、ding model compression and additional reliance on edge computing.Increased compute power,moreover,simultaneously acts as both a driver for and is dependent on access to vast quantities of training data.Accessibility to large datasets,thanks in part to the explosion of social media and online data,fu
22、nctioned as a catalyst for models that power current GAI.Though it sounds remarkable,even greater quantities of training data will be required moving forward.This need has created market opportunity for an emerging trove of synthetic data vendors who are using GAI to generate additional data for tra
23、ining other GAI models.While innovative and an area to keep a close eye on,synthetic data does not come without risk,namely the potential of creating a toxic data loop in which errors or biases from original sources are reproduced and thus reinforced in subsequent synthetic data.From this perspectiv
24、e,synthetic data is both a driver and potential barrier to smooth GAI growth moving forward.Because of this dual movement of increasing data needs and the risk of toxic data loops,there is growing interest in training via smaller,smarter,fit-for-purpose datasets,along with improved data curation ove
25、rall.Perhaps the most important driver in todays GAI explosion was the emergence of easy-to-use interfaces on top of models,personified by ChatGPT and Stable Diffusion.Removing the need for users to have advanced technical or programming skills has democratized GAI and vastly increased“The result of
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- 2024 通用 人工智能 研究 白皮书
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