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So you've built an AI assistant, but how do you gain the confidence to deploy it to production? In this live demo we introduce BotDojo, a platform that helps you build and improve LLM applications. We'll demonstrate how it identifies gaps in your assistant's knowledge through targeted evaluations. Then, we'll show how to generate synthetic data from existing documentation and support interactions to improve performance.

Recorded live in San Francisco at the AI Engineer World's Fair. See the full schedule of talks at https://www.ai.engineer/worldsfair/2024/schedule & join us at the AI Engineer World's Fair in 2025! Get your tickets today at https://ai.engineer/2025

About Paul Paul Henry is the Founder and CEO of BotDojo, an AI enablement platform that assists companies in designing and deploying Large Language Model (LLM) applications. Prior to founding BotDojo, Paul served as the CTO of Auctane, where he led the Engineering team and contributed to the company's growth from 10 to 2,000 employees. During his tenure, he helped develop a logistics platform that now processes over three billion orders annually for more than a million customers, powering products such as ShipStation, ShipEngine, and Stamps.com.

At BotDojo, Paul draws upon his experience to address the challenges associated with reliably deploying LLM applications to enhance internal operations and customer support. The platform supports the entire lifecycle of AI application development, from design and evaluation to deployment, allowing companies to deploy AI solutions with confidence.

Recorded live in San Francisco at the AI Engineer World's Fair. See the full schedule of talks at https://www.ai.engineer/worldsfair/2024/schedule & join us at the AI Engineer World's Fair in 2025! Get your tickets today at https://ai.engineer/2025

What if ChatGPT could talk to your realtime data? Your product database? Your salesforce data?

→ Write an email for my top paying customer quoting recent movies they rented →→ What are the genres of the movies here?

→→→ Make it funny using a reference from one of the movies.

As we hurtle towards AI ubiquity, AI connected to realtime data will become the default user expectation.

Join me as I unveil Pacha DDN, an AI powered realtime data access layer that securely connects data & business logic spread across multiple sources to your LLM. Pacha DDN provides autonomous explainable multi-step query planning to retrieve data from structured & unstructured data sources and APIs instantly.

Recorded live in San Francisco at the AI Engineer World's Fair. See the full schedule of talks at https://www.ai.engineer/worldsfair/2024/schedule & join us at the AI Engineer World's Fair in 2025! Get your tickets today at https://ai.engineer/2025

About Tanmai Tanmai is the CEO and cofounder at Hasura. Hasura is an open-source technology startup, that provides a GraphQL engine to help application developers work with data in modern app and microservices/serverless environments.Prior to Hasura, Tanmai ran a consultingfirm helping enterprises modernizing their technology stacks, and moving from monolithic to cloud-native environments. He is a full-stack engineer who’s passionate about making it easy to build things. He created and taught one of India’s largest MOOCs on modern application development with over 250,000 students.

Recorded live in San Francisco at the AI Engineer World's Fair. See the full schedule of talks at https://www.ai.engineer/worldsfair/2024/schedule & join us at the AI Engineer World's Fair in 2025! Get your tickets today at https://ai.engineer/2025

About Jamie Prior to Convex, Jamie was a Senior Engineering Director at Dropbox, leading the Business Platform and the Storage / Databases groups. Earlier in his tenure at Dropbox, Jamie was a Principal Engineer, launching several significant projects in synchronization and storage with his Convex co-founders James and Sujay. Over ten years before Dropbox, Jamie held leadership positions at several startups, most recently as the Head of Engineering at Bump, a former top-10 mobile app acquired by Google in 2013.

Jamie brings to Convex an enduring obsession with databases, networking, and protocols. Over the course of his career, he’s created dozens of related open-source projects, collectively with thousands of GitHub stars and heavy industry use.

Hyperspace is launching a new kind of agentic planning model, alongwith a breakthrough new AI application for power users. This is meant to run on the Hyperspace peer-to-peer AI network: the world’s largest and most advanced Uber-like network of open source models running on consumer devices (with over 15,000 nodes registered so far). It’s time to put a dent in the universe.

Recorded live in San Francisco at the AI Engineer World's Fair. See the full schedule of talks at https://www.ai.engineer/worldsfair/2024/schedule & join us at the AI Engineer World's Fair in 2025! Get your tickets today at https://ai.engineer/2025

About Nicholas AI Software Engineer | Prompt Engineer | Passionate about AI & Team Collaboration

Recorded live in San Francisco at the AI Engineer World's Fair. See the full schedule of talks at https://www.ai.engineer/worldsfair/2024/schedule & join us at the AI Engineer World's Fair in 2025! Get your tickets today at https://ai.engineer/2025

About Kevin After a decade Leading teams in tech through growth Founded Hypermode. I'm on a mission Make each dev an AI eng Skip data science

Spreadsheets are all you need: Decoding the Decoder LLM without de code The struggle to grasp the inner workings of AI models can leave even experienced engineers from non-ML backgrounds feeling lost in a sea of terminology and new concepts. What if the key to understanding the intricate mechanics of LLMs didn't require a Ph.D.? This session offers an innovative approach, employing spreadsheets to dissect and demystify the architecture of decoder-based LLMs using a fully working implementation of GPT-2 entirely in Excel. Attendees will tour through GPT-2's architecture from tokenization, embeddings, attention, multi-layer perceptron, all translated into the accessible format of spreadsheets with minimal abstractions to get in the way. By the end, you'll gain unparalleled insights into AI's backbone, transforming abstract concepts into tangible, understandable processes, without ever touching code.

Recorded live in San Francisco at the AI Engineer World's Fair. See the full schedule of talks at https://www.ai.engineer/worldsfair/2024/schedule & join us at the AI Engineer World's Fair in 2025! Get your tickets today at https://ai.engineer/2025

About Ishan Ishan was most recently VP of Product for Edgio Applications, a platform that leverages edge computing, serverless, and AI/ML to enable enterprise teams to accelerate, host, and secure their high-stakes websites. Ishan joined Edgio via the acquisition of Layer0, where he was the CTO and co-founder. He's also the creator of Spreadsheets-are-all-you-need.ai which combines AI and Spreadsheets into a course that teaches how LLMs work through an implementation of GPT2 (an ancestor of ChatGPT) entirely in Excel. Ishan spoken at conferences such as JSMobile, Next.js, JSWorld, and React Day New York on web performance, Jamstack, and Core Web Vitals.

Explore Anthropic's latest strides in large language models, emphasizing enhanced reasoning and multimodal capabilities. We'll showcase how these advancements translate into powerful developer tools, APIs, and best practices for building sophisticated, RSP-aligned AI applications.

Recorded live in San Francisco at the AI Engineer World's Fair. See the full schedule of talks at https://www.ai.engineer/worldsfair/2024/schedule & join us at the AI Engineer World's Fair in 2025! Get your tickets today at https://ai.engineer/2025

About Alex Albert Alex Albert is the Head of Developer Relations at Anthropic. Prior to his current role, he spent a year as a Prompt Engineer on Anthropic's Product Research team.

AI agents are poised to revolutionize software systems and devices, promising unprecedented automation and efficiency for enterprises. However, the road to this future is riddled with challenges such as inefficiency, non-determinism, high costs, discoverability, and rapid technological evolution. At Emergence, we are tackling these challenges head-on to transform the vision of useful AI agents into reality. Join us as we unveil our Orchestrator, which is a meta-agent designed to intelligently route tasks, integrate diverse AI agents, and future-proof enterprise systems. We will also show work from our R&D labs where we are advancing the science of agents and developing a web agent in the open source to automate complex enterprise workflows. Discover how our experience in building scalable AI solutions and our commitment to open-source development are paving the way for a seamlessly automated world.

Recorded live in San Francisco at the AI Engineer World's Fair. See the full schedule of talks at https://www.ai.engineer/worldsfair/2024/schedule & join us at the AI Engineer World's Fair in 2025! Get your tickets today at https://ai.engineer/2025

About Dr. Satya Dr. Satya V. Nitta is a technologist and business leader with deep experience in launching major new initiatives that create significant technical and business impacts. He was the former global head of the AI solutions for the learning department at IBM Research, which he founded. In the AI space, the teams he has led and is currently leading have invented and developed technologies at the intersection of conversational systems, speech recognition, and natural language understanding, as well as AI hardware-based edge devices. Earlier, as manager and technical leader of the Advanced Interconnect Technology department at IBM Research, he helped invent and develop many aspects of IBM’s silicon on-chip interconnect technologies with significant technical and business impacts on several generations of IBM’s semiconductor technologies. Dr. Nitta received a Ph.D. from the Rensselaer Polytechnic Institute in Chemical Engineering. He was named the IEEE ACE “Innovator of the Year” and has won “Technology of the Year” awards from both IEEE Spectrum and IEEE ACE for his work on airgap-based silicon interconnects. In 2016, he was named one of the top 50 global movers and shakers in education technology by the World Innovation Summit in Education. He has authored or co-authored over 40 publications and currently holds over 100 US patents.

Join GitHub CEO Thomas Dohmke for the closing keynote with a deep dive on Copilot Workspace, and what’s ahead as he talks on AI’s coming agentic wave.

Recorded live in San Francisco at the AI Engineer World's Fair. See the full schedule of talks at https://www.ai.engineer/worldsfair/2024/schedule & join us at the AI Engineer World's Fair in 2025! Get your tickets today at https://ai.engineer/2025

About Thomas Fascinated by software development since his childhood in Germany, Thomas Dohmke has built a career building tools developers love and accelerating innovations that are changing software development. Currently, Thomas is Chief Executive Officer of GitHub, where he has overseen the launch of the world's first at-scale AI developer tool, GitHub Copilot. Before his time at GitHub, Thomas previously co-founded HockeyApp and led the company as CEO through its acquisition by Microsoft in 2014, and holds a PhD in mechanical engineering from University of Glasgow, UK.

About Eugene I build ML systems to serve customers at scale, and write to learn and teach.

Today's leading generative AI applications have workloads that span high performance GPU compute, CPU preprocessing, data-loading, and orchestration — often spread across a combination of Python, C++/Rust, and CUDA C++ — which increases the complexity and slows down the cycle of innovation. This talk explores the capabilities and power of the Modular Mojo programming language and Modular Accelerated Xecution (MAX) platform, which unifies CPU and GPU programming into a single Pythonic programming model that is simple and extensible. This results in reduced complexity and improved developer productivity, and streamlines innovation. We'll walk through CPU and GPU support with real-world examples, providing details of how AI application developers can use MAX and Mojo to define an end-to-end AI pipeline and overcome the complexities.

Recorded live in San Francisco at the AI Engineer World's Fair. See the full schedule of talks at https://www.ai.engineer/worldsfair/2024/schedule & join us at the AI Engineer World's Fair in 2025! Get your tickets today at https://ai.engineer/2025

About Chris Chris Lattner is a co-founder and the CEO of Modular, which is building an innovative new developer platform for AI and accelerated compute. Modular provides an AI engine that accelerates PyTorch and TensorFlow inference, as well as the Mojo🔥 language, which extends Python into systems and accelerator programming domains. He has also co-founded the LLVM Compiler infrastructure project, the Clang C++ compiler, the Swift programming language, the MLIR compiler infrastructure, the CIRCT project, and has contributed to many other commercial and open source projects at Apple, Tesla, Google and SiFive.

In this keynote, Antje explores how generative AI is transforming the landscape of software development, enabling developers to innovate like never before. She will showcase the latest advancements in AI and demonstrate the powerful capabilities of generative AI tools available on AWS. You will learn how to harness these tools to accelerate your development processes, enhance creativity, and build robust, AI-driven applications.

Recorded live in San Francisco at the AI Engineer World's Fair. See the full schedule of talks at https://www.ai.engineer/worldsfair/2024/schedule & join us at the AI Engineer World's Fair in 2025! Get your tickets today at https://ai.engineer/2025

About Antje Antje Barth is a Principal Developer Advocate for generative AI at AWS. She is co-author of the O’Reilly books Generative AI on AWS and Data Science on AWS. Antje frequently speaks at AI conferences, events, and meetups around the world. She also co-founded the global Generative AI on AWS meetup and the Düsseldorf chapter of Women in Big Data.

Special double-feature closing keynote from the 6 authors of the hit O'Reilly article on Applied LLMs.

Recorded live in San Francisco at the AI Engineer World's Fair. See the full schedule of talks at https://www.ai.engineer/worldsfair/2024/schedule & join us at the AI Engineer World's Fair in 2025! Get your tickets today at https://ai.engineer/2025

About Eugene Yan I build ML systems to serve customers at scale, and write to learn and teach.

About Shreya Shankar I'm Shreya Shankar. I am a machine learning (ML) engineer and computer scientist in the Bay Area. I am completing my PhD in data management systems for ML, with a human-centered focus. I am fortunate to be advised by Dr. Aditya Parameswaran at UC Berkeley. Go Bears! 🐻 I also consult on ML engineering and production AI strategy for enterprises. Prior to my PhD, I was the first ML engineer at a startup, did research engineering at Google Brain, and engineering at Facebook. Before all of that, I did my BS and MS in computer science at Stanford. Go Trees! 🌲

About Hamel Husain Hamel Husain started working with language models five years ago when he led the team that created CodeSearchNet, a precursor to GitHub CoPilot. Since then, he has seen many successful and unsuccessful approaches to building LLM products. Hamel is also an active open source maintainer and contributor of a wide range of ML/AI projects. Hamel is currently an independent consultant.

About Jason Liu Jason is an independent AI consultant, advisor, writer, and educator. His main interests are structured outputs, search and retrieval for RAG as well as understanding how to leverage AI to build scalable and valuable businesses.

About Bryan Bischof Bryan Bischof is the Head of AI at Hex, where he leads the team of engineers building Magic—the data science and analytics copilot. Bryan has worked all over the data stack leading teams in analytics, machine learning engineering, data platform engineering, and AI engineering. He started the data team at Blue Bottle Coffee, led several projects at Stitch Fix, and built the data teams at Weights and Biases. Bryan previously co-authored the book Building Production Recommendation Systems with O’Reilly, and teaches Data Science and Analytics in the graduate school at Rutgers. His Ph.D. is in pure mathematics.

About Charles Frye AI Engineer at Modal Labs. Building useful technology with large neural networks.

00:00 Introduction 03:22 Strategic: Bryan Bischof & Charles Frye 14:47 Operational: Hamel Husain & Jason Liu 23:51 Tactical: Eugene Yan & Shreya Shankar

About Simon Simon Willison is the creator of Datasette, an open source tool for exploring and publishing data. He currently works full-time building open source tools for data journalism, built around Datasette and SQLite.

Prior to becoming an independent open source developer, Simon was an engineering director at Eventbrite. Simon joined Eventbrite through their acquisition of Lanyrd, a Y Combinator funded company he co-founded in 2010.

He is a co-creator of the Django Web Framework, and has been blogging about web development and programming since 2002 at simonwillison.net

Mozilla's Llamafile open source project democratizes access to AI not only by making open models easier to use, but also by making them run fast on consumer CPUs. Lead developer Justine Tunney will share the insights, tricks, and hacks that she and the project community are using to deliver these performance breakthroughs, and project leader Stephen Hood will discuss Mozilla's approach to supporting open source AI.

Recorded live in San Francisco at the AI Engineer World's Fair. See the full schedule of talks at https://www.ai.engineer/worldsfair/2024/schedule & join us at the AI Engineer World's Fair in 2025! Get your tickets today at https://ai.engineer/2025

About Stephen Open source AI at Mozilla. Formerly of del.icio.us, Yahoo Search. Co-founder of Storium (AI-assisted storytelling game) and Blockboard.

About Justine Justine is a founder of Mozilla’s LLaMAfile project, a Google Brain alumni, and the owner of the Cosmopolitan C Library. She's focusing on democratizing access to open source AI software while elevating its performance and quality.

In this talk, LlamaIndex founder & CEO Jerry Liu covers how we go beyond single-LLM prompt calls. He discusses advanced single-agent flows, Agentic RAG, multi-agent task-solvers & service architectures, and more. Jerry also announces Llama Agents: Agents as microservices that are easily deployed and communicate via a single API (and much more).

Recorded live in San Francisco at the AI Engineer World's Fair. See the full schedule of talks at https://www.ai.engineer/worldsfair/2024/schedule & join us at the AI Engineer World's Fair in 2025! Get your tickets today at https://ai.engineer/2025

About Jerry Jerry Liu is the CEO & Co-Founder of LlamaIndex

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The future we are building towards: featuring a demo of GPT4o Omnimodel Voice, ChatGPT Desktop, Sora, and Voice Engine all in one talk.

Recorded live in San Francisco at the AI Engineer World's Fair. See the full schedule of talks at https://www.ai.engineer/worldsfair/2024/schedule & join us at the AI Engineer World's Fair in 2025! Get your tickets today at https://ai.engineer/2025

About Romain Hello! I’m a software engineer based in San Francisco, I run Developer Relations at OpenAI.

Previously, I ran developer relations at Stripe. Prior to that I was a Senior Developer Advocate at Twitter and the first member of Twitter’s Developer Relations team outside the US. In 2014, I helped launch Fabric, our mobile developer platform, and Digits. In 2015, our developer tour has led me to meet thousands of developers and entrepreneurs in more than 30 cities around the world.

Prior to Twitter, I was Co-Founder & CTO of Jolicloud, whose free operating system was designed to work on low cost computers and connect them to the cloud. Joli OS was the first OS based on Linux, Chromium, and HTML5, paving the way towards a new generation of browser-based platforms like Chrome OS. In 2010, the Jolibook was a finalist for “Netbook of the Year” at Engadget Awards, alongside Google’s first Chromebook.

From Text to Vision to Voice: Exploring Multimodality with OpenAI: Romain Huet