Sure, the AWS re:Invent season is upon us and as all the time, the place to be is Las Vegas! You marked your calendars, you booked your resort, and also you even bought the airfare. Now all you want is a few steering on generative AI and machine studying (ML) classes to attend at this twelfth version of re:Invent. And though generative AI has appeared in earlier occasions, this 12 months we’re taking it to the following degree. Along with a number of thrilling bulletins throughout keynotes, many of the classes in our observe will characteristic generative AI in a single type or one other, so we are able to really name our observe “Generative AI and ML.” On this publish, we provide you with a way of how the observe is organized and spotlight just a few classes we expect you’ll like. And though our observe focuses on generative AI, many different tracks have associated classes. Use the “Generative AI” tag as you’re looking the session catalog to search out them.
The technical classes in our observe are divided into 5 areas. First, we’ll have just a few foundational classes associated to varied elements of Amazon Bedrock—a completely managed generative AI service we launched earlier this 12 months. These will allow you to perceive the constructing blocks of your generative AI purposes. Second, we’ll have classes protecting the frequent generative AI use circumstances and purposes. Right here you’ll even have an opportunity to find novel use circumstances and strategies. Third, various classes will probably be of curiosity to ML practitioners who construct, deploy, and operationalize each conventional and generative AI fashions. This 12 months, study LLMOps, not simply MLOps! Then, as we began doing final re:Invent, we’ll offer a number of classes on the way to construct AI responsibly. The higher the facility of newest transformer-based fashions, the higher the accountability of all ML practitioners to do that proper. Remember to try the session on the simply launched PartyRock, an academic instrument for offering any builder with low-friction entry to be taught by experimentation in a basis mannequin playground constructed on Amazon Bedrock. And final however not least (and all the time enjoyable!) are the classes devoted to AWS DeepRacer!
Generative AI is on the coronary heart of the AWS Village this 12 months. Work together with a number of demos that characteristic new purposes, together with a contest that includes utilizing generative AI tech to pilot a drone round an impediment course. Speak with AWS consultants in 14 completely different industries and discover industry-specific generative AI use circumstances, together with demos from promoting and advertising and marketing, aerospace and satellite tv for pc, manufacturing, and extra. The Rising Tech Zone throughout the Expo options progressive startups that had been chosen into the AWS Generative AI Accelerator and the NVIDIA Inception 100 applications.
In case you’re new to re:Invent, you possibly can attend classes of the next sorts:
- Keynotes – Take part individual or just about and study all of the thrilling bulletins.
- Innovation Talks – Be taught concerning the newest cloud know-how from AWS know-how leaders and uncover how these developments will help you push your small business ahead. These classes will probably be livestreamed, recorded, and printed to YouTube.
- Breakout classes – These 60-minute classes are anticipated to have broad enchantment, are delivered to bigger audiences, and will probably be recorded. In case you miss them, you possibly can watch them on demand after re:Invent.
- Chalk talks – Take pleasure in 60 minutes of content material delivered to smaller audiences with an interactive whiteboarding session. Chalk talks are the place discussions occur, and these give you the best alternative to ask questions or share your opinion.
- Workshops – In these hands-on studying alternatives, in the middle of 2 hours, you’ll be capable of construct an answer to an issue, and perceive the internal workings of the ensuing infrastructure and cross-service interplay. Carry your laptop computer and be able to be taught!
- Builders’ classes – These extremely interactive 60-minute mini-workshops are carried out in small teams of fewer than 10 attendees. A few of these enchantment to freshmen, and others are on specialised matters.
- NEW! Code talks – On this new session sort for re:Invent 2023, code talks are just like our common chalk speak format, however as a substitute of specializing in an structure resolution with whiteboarding, the audio system lead an interactive dialogue that includes stay coding or code samples. These 60-minute classes concentrate on the precise code that goes into constructing an answer. Attendees are inspired to ask questions and observe alongside.
If in case you have reserved your seat at any of the classes, nice! If not, we all the time put aside some spots for walk-ins, so make a plan and are available to the session early.
That can assist you plan your agenda for this 12 months’s re:Invent, listed here are some highlights of the generative AI and ML observe. So buckle up, and begin registering in your favourite classes.
Go to the session catalog to study all our generative AI and ML classes.
Keynotes
Adam Selipsky, Chief Govt Officer, Amazon Net Companies – Keynote
Tuesday November 28 | 8:30 AM – 10:30 AM (PST) | The Venetian
Be a part of Adam Selipsky, CEO of Amazon Net Companies, as he shares his perspective on cloud transformation. He highlights improvements in information, infrastructure, and synthetic intelligence and machine studying which are serving to AWS clients obtain their objectives sooner, mine untapped potential, and create a greater future.
Swami Sivasubramanian, Vice President of AWS Information and Machine Studying – Keynote
Wednesday November 29 | 8:30 AM – 10:30 AM (PST) | The Venetian
A strong relationship between people, information, and AI is unfolding proper earlier than us. Generative AI is augmenting our productiveness and creativity in new methods, whereas additionally being fueled by large quantities of enterprise information and human intelligence. Be a part of Swami Sivasubramanian, Vice President of Information and AI at AWS, to find how you need to use your organization information to construct differentiated generative AI purposes and speed up productiveness for workers throughout your group. Additionally hear from buyer audio system with real-world examples of how they’ve used their information to help their generative AI use circumstances and create new experiences for his or her clients.
Innovation Talks
Dr. Bratin Saha, VP of AWS AI and ML Companies | AIM245-INT | Innovate sooner with generative AI
Wednesday November 29 | 1:00 PM – 2:00 PM (PST) | Venetian | Stage 5 | Palazzo Ballroom B
With the emergence of generative AI, we’re at a tipping level within the widespread adoption of machine studying. Be a part of Dr. Bratin Saha, VP of AWS AI and ML Companies, to listen to how clients throughout industries are reworking their enterprise with the most recent breakthroughs in AI and ML, together with generative AI. Uncover the most recent AWS improvements, hear from prime clients, and discover the place AI/ML is headed.
Francessca Vasquez, Vice President of Skilled Companies | ARC217-INT | From hype to affect: Constructing a generative AI structure
Wednesday November 29 | 11:30 AM – 12:30 PM (PST) | Venetian | Stage 5 | Palazzo Ballroom B
Generative AI represents a paradigm shift for the way firms function right this moment. Generative AI is empowering builders to reimagine buyer experiences and purposes whereas reworking just about each {industry}. Organizations are quickly innovating to create the suitable structure for scaling generative AI securely, economically, and responsibly to ship enterprise worth. On this speak, learn the way leaders are modernizing their information basis, deciding on industry-leading basis fashions, and deploying purpose-built accelerators to unlock the probabilities of generative AI.
Shaown Nandi, AWS Director of Know-how for Industries and Strategic Accounts | AIM248-INT | Unlocking the {industry} potential of generative AI
Wednesday November 29 | 4:00 PM – 5:00 PM (PST) | Venetian | Stage 5 | Palazzo Ballroom B
Generative AI has captured the creativeness of many industries and is poised to herald the following wave of technological developments. On this innovation speak, hear how the most important industries, from healthcare and monetary companies to automotive and media and leisure, are utilizing generative AI to drive outcomes for his or her clients. Be a part of Shaown Nandi, AWS Director of Know-how for Industries and Strategic Accounts, and {industry} leaders to listen to how generative AI is accelerating content material creation and serving to organizations reimagine buyer experiences.
Mai-Lan Tomsen Bukovec, Vice President, Know-how | AIM250-INT | Placing your information to work with generative AI
Thursday November 30 | 12:30 PM – 1:30 PM (PST) | Venetian | Stage 5 | Palazzo Ballroom B
How are you going to flip your information lake right into a enterprise benefit with generative AI? On this speak, discover methods for placing your proprietary datasets to work when constructing distinctive, differentiated generative AI options. Discover ways to make the most of your datasets utilizing Amazon SageMaker and Amazon Bedrock in addition to common frameworks like PyTorch with AWS compute, storage, and analytics. Hear greatest practices for utilizing unstructured (video, picture, PDF), semi-structured (Parquet), and table-formatted (Iceberg) information for coaching, fine-tuning, checkpointing, and immediate engineering. Additionally hear completely different architectural patterns that clients use right this moment to harness their enterprise information for custom-made generative AI options.
Breakout classes
AIM218 (LVL 200) | Construct your first generative AI software with Amazon Bedrock
Monday November 27 | 2:30 PM – 3:30 PM (PST)
We’re really at an thrilling inflection level within the widespread adoption of ML with the expansion of generative AI purposes. On this session, discover ways to construct your first generative AI software with key companies corresponding to Amazon Bedrock. Get hints and ideas for getting began quick, and see instance reference architectures for frequent use circumstances constructed with AWS AI and ML corresponding to self-service buyer help, textual content evaluation, report technology, post-call evaluation, and forecasting traits.
AIM225 (LVL 200) | Drive personalised CX utilizing generative AI and Amazon Personalize
Tuesday November 28 | 5:00 PM – 6:00 PM (PST)
Delivering the most effective expertise is vital to seize and retain clients right this moment. With generative AI, it’s potential to hyper-personalize focused suggestions for purchasing and streaming. Whereas customary taglines like “Individuals who purchased this additionally purchased . . .” or “Since you watched . . .” entice some, they don’t totally deal with particular person pursuits. Firms should discover methods to dynamically generate compelling, extremely custom-made content material. Amazon Personalize delivers capabilities powered by ML and generative AI to assist manufacturers create significant experiences. Be a part of this session to listen to from powerhouse AWS media buyer FOX and learn the way hyper-personalized experiences can be utilized to construct engagement and drive income.
AIM327 (LVL 300) | Scaling FM inference to a whole lot of fashions with Amazon SageMaker
Wednesday November 29 | 4:30 PM – 5:30 PM (PST)
Firms want sturdy and cost-effective options to deploy basis fashions at scale. Moreover, SaaS suppliers want scalable and cost-effective methods to serve a whole lot of fashions to their clients. This session explores the way to use Amazon SageMaker to roll out a whole lot of FMs cost-effectively at scale. Get an in depth overview of deployment methods to help large-scale generative AI inferencing for SaaS, and discover ways to architect options that maximize scaling capabilities for efficiency and price.
AIM333 (LVL 300) | Discover text-generation FMs for prime use circumstances with Amazon Bedrock
Tuesday November 28| 2:00 PM – 3:00 PM (PST)
Basis fashions can be utilized for pure language processing duties corresponding to summarization, textual content technology, classification, open-ended Q&A, and data extraction. With Amazon Bedrock, you possibly can select highly effective FMs from AI21 Labs, Anthropic, and Cohere to search out the suitable FM in your use case such because the Jurassic-2, Claude, and Command households of text-generation FMs. Be a part of this session to be taught which FM is greatest suited in your use case.
AIM332 (LVL 300) | Discover picture technology and search with FMs on Amazon Bedrock
Thursday November 30 | 11:00 AM – 12:00 PM (PST)
Basis fashions perceive a number of types of enter, corresponding to photos and texts. Be a part of this session to discover ways to construct transformational experiences utilizing photos in Amazon Bedrock.
AIM377 (LVL 300) | Immediate engineering greatest practices for LLMs on Amazon Bedrock
Monday November 27 | 9:00 AM – 10:00 AM (PST)
Immediate engineering is the method of guiding massive language fashions to provide desired outputs. On this session, get an outline of immediate engineering greatest practices and discover ways to select probably the most applicable codecs, phrases, phrases, and symbols to get probably the most out of generative AI options whereas bettering accuracy and efficiency. This session makes use of the Claude 2 LLM for example of how immediate engineering helps to unravel advanced buyer use circumstances. Additionally learn the way prompts might be built-in together with your structure and the way to use API parameters for tuning the mannequin parameters utilizing Amazon Bedrock.
Chalk talks
AIM341 (LVL 300) | Ship custom-made search capabilities utilizing Amazon Bedrock
Wednesday November 29 | 5:30 PM – 6:30 PM (PST)
Vector embeddings are numerical representations of your textual content, picture, audio, and video information that can be utilized to grasp the connection between sentences or phrases to search out extra related and contextual info in response to a person question. Embeddings might be saved in a database and are used to allow streamlined and extra correct searches. You should utilize an embeddings mannequin in Amazon Bedrock to create vectors of your group’s information, which may then be used to allow semantic search. Be a part of this hands-on chalk speak to learn the way.
AIM340-R (LVL 300) | Customise your FMs securely to ship differentiated experiences
Wednesday November 29 | 6:00 PM – 7:00 PM (PST)
Basis mannequin customizations allow you to construct differentiated generative AI purposes utilizing your individual information. It’s simple to securely customise fashions in Amazon Bedrock. You possibly can level Amazon Bedrock at just a few labeled examples in Amazon S3, and the service can fine-tune the FM for a specific job with out having to annotate massive volumes of information; none of your information is used to coach the unique base FMs. Be a part of this chalk speak for a deep dive on FM customizations by an interactive demo.
This session will probably be repeated Thursday, November 30 11:00 AM – 12:00 PM (PST), and Friday, December 1 8:30 AM – 9:30 AM PST.
AIM342 (LVL 300) | Advancing accountable AI: Assessing and mitigating danger
Wednesday November 29 | 4:30 PM – 5:30 PM (PST)
Danger evaluation is a vital a part of creating AI options responsibly, particularly with rising {industry} requirements and legal guidelines relating to AI danger, corresponding to ISO 42001 and the EU AI Act. This chalk speak offers an introduction to greatest practices for danger evaluation associated to equity, robustness, explainability, privateness and safety, transparency, and governance. Discover examples to estimate the severity and probability of potential occasions that might be dangerous. Find out about Amazon SageMaker tooling for mannequin governance, bias, explainability, and monitoring, and about transparency within the type of service playing cards as potential danger mitigation methods.
AIM347-R (LVL 300) | Subsequent-generation ML builder expertise
Thursday November 30 | 4:00 PM – 5:00 PM (PST)
Amazon SageMaker gives completely different built-in improvement environments (IDEs) which are purpose-built for machine studying. On this chalk speak, discover ways to choose and use your most popular atmosphere to carry out end-to-end ML improvement steps, from getting ready information to constructing, coaching, and deploying your ML fashions. Uncover how one can shortly add information, create new notebooks, prepare and tune fashions, transfer forwards and backwards between steps to regulate experiments, collaborate seamlessly inside your group, and deploy fashions to manufacturing multi function place.
This session will probably be repeated Friday, December 1 9:00 AM – 10:00 AM (PST), and Friday, December 1 11:30 AM – 12:00 PM (PST).
AIM352-R (LVL 300) | Securely construct generative AI apps and management information with Amazon Bedrock
Monday November 27 | 11:30 AM – 12:30 PM (PST)
Generative AI purposes have captured widespread consideration; nevertheless, they’ve additionally launched new safety challenges, particularly across the dealing with of buyer information. Organizations wish to be certain that their information stays secure and safe whereas working with basis fashions and don’t wish to fear about their information getting used to coach an FM. Amazon Bedrock offers complete information safety and privateness. On this chalk speak, discover architectures, information flows, and security-related elements of mannequin fine-tuning, in addition to prompting and inference, whilst you study Amazon Bedrock’s safety capabilities.
This session will probably be repeated Wednesday, November 29 6:00 PM – 7:00 PM (PST), and Thursday, November 30 4:00 PM – 5:00 PM (PST).
AIM404 (LVL 400) | Practice and deploy FMs on Amazon EC2 and Amazon SageMaker, feat. Flip AI
Wednesday November 29 | 2:30 PM – 3:30 PM (PST)
Organizations which are operating machine studying techniques and generative AI purposes on their native laptops/servers wish to make the most of the scalability and efficiency of the AWS Cloud. On this chalk speak, hear about compute and ML companies from self-managed Amazon EC2 to completely managed Amazon SageMaker that you need to use to construct, prepare, and deploy basis fashions. See a demo of how one can fine-tune a Steady Diffusion mannequin on Amazon EC2 after which deploy it on SageMaker utilizing the AWS Deep Studying AMIs (DLAMI) and AWS Deep Studying Containers. Additionally, hear how Flip AI constructed their very own fashions utilizing these AWS companies.
Workshops
AIM302 (LVL 300) | Use generative AI to extract insights from contact heart recordings
Monday November 27 | 8:30 AM – 10:30 AM (PST)
Discover ways to derive insights from contact heart recordings and different media utilizing Amazon Transcribe and generative AI. On this workshop, discover ways to mix computerized name recording, transcription, post-call evaluation, sentiment evaluation, challenge detection, and name summarization from your individual telephony recordings (Cisco, Genesys, Talkdesk, Avaya, and extra) utilizing AWS Contact Middle Intelligence (CCI) options and generative AI. See demos on the way to construct analytics dashboards and integrations between LLMs and Amazon QuickSight to visualise your key metrics. You could carry your laptop computer to take part.
AIM307 (LVL 300) | Retrieval Augmented Technology with Amazon Bedrock
Wednesday November 29 | 8:30 AM – 10:30 AM (PST)
Massive language fashions are sometimes restricted by the information they had been educated on and don’t all the time present up-to-date responses—or worse, they make issues up. To beat this limitation, you possibly can complement prompts with up-to-date info utilizing embeddings saved in vector databases, a course of referred to as Retrieval Augmented Technology (RAG). With supplemental info within the immediate offering extra context, the LLM can reply extra precisely and is much less prone to hallucinate. On this workshop, discover ways to use vector databases with Amazon Bedrock, a service that makes basis fashions from Amazon and main AI firms out there by way of a single API. You could carry your laptop computer to take part.
AIM304 (LVL 300) | generate textual content responsibly utilizing basis fashions on AWS
Wednesday November 29 | 5:30 PM – 7:30 PM (PST)
Basis fashions corresponding to Claude are generally used to create new items of authentic content material, corresponding to quick tales, essays, social media posts, and webpage copy, and in addition to summarize textual content from articles, weblog posts, books, and extra. On this workshop, be taught how one can generate textual content in minutes utilizing basis fashions out there by Amazon Bedrock in a accountable means. You could carry your laptop computer to take part.
Code talks
AIM364-R (LVL 300) | Increase ML improvement with Amazon SageMaker Studio notebooks
Tuesday November 28 | 4:00 PM – 5:00 PM (PST)
Amazon SageMaker Studio notebooks are collaborative notebooks that you could launch shortly and that may allow you to combine with purpose-built ML instruments in SageMaker and different AWS companies for full ML improvement. On this code speak, discover ways to put together information at scale utilizing built-in information preparation help, co-edit the identical pocket book in actual time, and automate conversion of pocket book code to production-ready jobs. This speak additionally introduces the brand new generative AI-powered options that may allow you to maximize productiveness, write higher-quality code, and enhance safety.
This session will probably be repeated Wednesday, November 29 12:00 PM – 1:00 PM (PST).
Builders’ classes
AIM219-R (LVL 200) | Be taught and experiment with LLMs in Amazon SageMaker Studio Lab
Monday November 27 | 10:00 AM – 11:00 AM (PST)
Machine studying can sound difficult, however Amazon SageMaker Studio Lab makes it simpler for anybody to get began for free of charge. On this hands-on builders’ session, be guided by the fundamentals of experimenting with massive language fashions in Amazon SageMaker Studio Lab. No prior machine studying expertise is required. You could carry your laptop computer to take part.
This session will probably be repeated Monday, November 27 4:00 PM – 5:00 PM (PST), Tuesday, November 28 3:30 PM – 4:30 PM (PST), Wednesday, November 29, 12:00 PM – 1:00 PM (PST), and Thursday, November 30 11:30 AM – 12:30 PM (PST).
AWS DeepRacer
Get able to race with AWS DeepRacer at re:Invent 2023!
Builders, fasten your seatbelts—AWS DeepRacer is bringing ML to everybody at re:Invent! Whether or not you’re trying to get began with ML or enhance your abilities, AWS DeepRacer gives an thrilling approach to get hands-on with ML.
Watch the world’s prime 72 racers of the AWS DeepRacer 2023 League battle it out Monday by Wednesday at our Championship Stadium on the Venetian Expo. It is going to all come all the way down to the finale on Wednesday (November 29) at 2:30 PM (PST) because the eight finalists compete for the cup and $44,000 in prize cash. You can too get behind the wheel your self on November 30, when the observe opens for the 2024 Open Racing. Submit the quickest time and also you’ll win a ticket again to Vegas for the 2024 Championship!
Dive into 10 not-to-miss workshops the place you’ll be taught to coach reinforcement studying fashions, remedy enterprise issues with generative AI, and extra. Wish to be taught ideas and methods from the most effective racers on the planet? Remember to try our DPR301 workshop that includes 5 of our prime AWS DeepRacer League Champions who will probably be sharing their approaches for coaching their AWS DeepRacer fashions and answering questions throughout an open Q&A.
Don’t neglect to take a look at the remainder of the AWS DeepRacer workshops earlier than they fill as much as reserve your spot! Whether or not you are taking a workshop, take a spin in our gamified digital racing simulator, catch the worldwide competitors, or check your individual ML mannequin on the observe, AWS DeepRacer brings the joys of high-speed racing to hands-on machine studying at re:Invent. Let the countdown start. We will’t wait to see you in Las Vegas!
See you at re:Invent!
Be sure that to take a look at the re:Invent content material catalog and the generative AI at re:Invent information for extra gen AI and ML content material at re:Invent. We’ll see you there!
Concerning the authors
Denis V. Batalov is a 17-year Amazon veteran and a PhD in Machine Studying, Denis labored on such thrilling initiatives as Search Contained in the Guide, Amazon Cellular apps and Kindle Direct Publishing. Since 2013 he has helped AWS clients undertake AI/ML know-how as a Options Architect. Presently, Denis is a Worldwide Tech Chief for AI/ML liable for the functioning of AWS ML Specialist Options Architects globally. Denis is a frequent public speaker, you possibly can observe him on Twitter @dbatalov.
Paxton Corridor is a Advertising Program Supervisor for the AWS AI/ML Group on the AI/ML Training staff at AWS. He has labored in retail and experiential advertising and marketing for the previous 7 years, targeted on creating communities and advertising and marketing campaigns. Out of the workplace, he’s obsessed with public lands entry and conservation, and enjoys backcountry snowboarding, climbing, biking, and mountain climbing all through Washington’s Cascade mountains.